🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Kerstin Heselmeyer‐Haddad

National Cancer Institute

ORCID: 0000-0001-7349-7407
Biochemistry, Genetics and Molecular BiologyMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 4%percentile
0.738Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer

Clinical Cancer Research(2020)10.1158/1078-0432.ccr-20-0566
Top 27%
0.738DataRank
Top 27%10 citations

Natalie Doberstein, Sandra Freitag‐Wolf, Ayla Koçak, Timo Gemoll, Kerstin Heselmeyer‐Haddad +4 more

Papers

Driven by 14 papers — median percentile 73. Top paper: “Genomic and evolutionary classification of lung cancer in never smokers”.

Genomic and evolutionary classification of lung cancer in never smokers

Nature Genetics(2021)10.1038/s41588-021-00920-0
N/A
5.4DataRank · unranked
248 citations

Philippe Joubert, Naser Ansari‐Pour, Zhao Wei, Phuc H. Hoang, Rachel Lokanga +56 more

Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer

Clinical Cancer Research(2020)10.1158/1078-0432.ccr-20-0566
Top 27%
0.738DataRank
Top 27%10 citations

Natalie Doberstein, Sandra Freitag‐Wolf, Ayla Koçak, Timo Gemoll, Kerstin Heselmeyer‐Haddad +4 more

Extrachromosomal Amplification of Human Papillomavirus Episomes Is a Mechanism of Cervical Carcinogenesis

Cancer Research(2023)10.1158/0008-5472.can-22-3030
N/A
0.515DataRank · unranked
30 citations

Jieqiong Dai, Yi Xie, Darawalee Wangsa, Kerstin Heselmeyer‐Haddad, Hong Lou +8 more

TP53 loss initiates chromosomal instability in fallopian tube epithelial cells

Disease Models & Mechanisms(2021)10.1242/dmm.049001
N/A
0DataRank · unranked
33 citations

Anthony Tighe, Darawalee Wangsa, Dali Zong, Thomas J. Meyer, René Wardenaar +12 more

Tumor heterogeneity assessed by sequencing and fluorescence in situ hybridization (FISH) data

Bioinformatics(2021)10.1093/bioinformatics/btab504
N/A
0DataRank · unranked
13 citations

E. Michael Gertz, Alejandro A. Schäffer, Xuecong Fu, Yifeng Tao, Kerstin Heselmeyer‐Haddad +10 more

TP53 loss initiates chromosomal instability in high-grade serous ovarian cancer

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.12.435079
N/A
0DataRank · unranked
2 citations

Darawalee Wangsa, Dali Zong, Thomas J. Meyer, René Wardenaar, Paul Minshall +12 more

Single-cell resolved ploidy and chromosomal aberrations in nonalcoholic steatohepatitis-(NASH) induced hepatocellular carcinoma and its precursor lesions

Scientific Reports(2022)10.1038/s41598-022-27173-z
N/A
0DataRank · unranked
5 citations

Irianna Torres, Elizabeth Brauneis, Tim Thörner, Alejandro A. Schäffer, E. Michael Gertz +6 more

Data from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer

(2023)10.1158/1078-0432.c.6529475.v1
N/A
0DataRank · unranked
0 citations

Natalie Doberstein, Sandra Freitag‐Wolf, Ayla Koçak, Timo Gemoll, Kerstin Heselmeyer‐Haddad +4 more

Data from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer

(2023)10.1158/1078-0432.c.6529475
N/A
0DataRank · unranked
0 citations

Natalie Doberstein, Sandra Freitag‐Wolf, Ayla Koçak, Timo Gemoll, Kerstin Heselmeyer‐Haddad +4 more

EGFR amplification and PI3K pathway mutations identify a subset of breast cancers that synergistically respond to EGFR and PI3K inhibition

Oncogene(2025)10.1038/s41388-025-03634-3
N/A
0DataRank · unranked
2 citations

Donna Voeller, Yonit A. Addissie, Sachin Kumar Deshmukh, Sharon Wu, Maryam B. Lustberg +7 more

High Levels of Chromosomal Copy Number Alterations and TP53 Mutations Correlate with Poor Outcome in Younger Breast Cancer Patients

American Journal Of Pathology(2020)10.1016/j.ajpath.2020.04.015
N/A
0DataRank · unranked
17 citations

Kerstin Heselmeyer‐Haddad, Annette Lischka, Daniela Hirsch, David Fiedler, Yue Hu +11 more

EGFR amplification and PI3K pathway mutations identify a subset of breast cancers that synergistically respond to EGFR and PI3K inhibition

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.06.03.657674
N/A
0DataRank · unranked
0 citations

Donna Voeller, Yonit A. Addissie, Sachin Kumar Deshmukh, Sharon Wu, Maryam B. Lustberg +7 more

Single-Cell–Derived Primary Rectal Carcinoma Cell Lines Reflect Intratumor Heterogeneity Associated with Treatment Response

Clinical Cancer Research(2020)10.1158/1078-0432.ccr-19-1984
N/A
0DataRank · unranked
13 citations

Lena Anthuber, Daniela Hirsch, Darawalee Wangsa, Justin Lack, Nicole E. McNeil +17 more

Tumor heterogeneity assessed by sequencing and fluorescence in situ hybridization (FISH) data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.02.29.970392
N/A
0DataRank · unranked
3 citations

E. Michael Gertz, Alejandro A. Schäffer, Xuecong Fu, Yifeng Tao, Kerstin Heselmeyer‐Haddad +10 more