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

Elizabeth D. Lightbody

Broad Institute

ORCID: 0000-0003-4634-8400

Also affiliated with Harvard University, Dana-Farber Cancer Institute, Gilead Sciences (United States)

MedicineBiochemistry, Genetics and Molecular Biology

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
0.595Author 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.

Genomic landscape of multiple myeloma and its precursor conditions

Nature Genetics(2025)10.1038/s41588-025-02196-0
Top 33%
0.595DataRank
Top 33%29 citations

Ankit K. Dutta, Andrea Poletti, Tim H. H. Coorens, Elizabeth D. Lightbody, Rosa Toenges +33 more

Papers

Driven by 9 papers — median percentile 67. Top paper: “Immune biomarkers of response to immunotherapy in patients with high-risk smoldering myeloma”.

Immune biomarkers of response to immunotherapy in patients with high-risk smoldering myeloma

Cancer Cell(2022)10.1016/j.ccell.2022.10.017
N/A
0.626DataRank · unranked
64 citations

Michelle P. Aranha, Robert Redd, Joanna Bagińska, Nicholas J. Haradhvala, Margaret Hallisey +34 more

Genomic landscape of multiple myeloma and its precursor conditions

Nature Genetics(2025)10.1038/s41588-025-02196-0
Top 33%
0.595DataRank
Top 33%29 citations

Ankit K. Dutta, Andrea Poletti, Tim H. H. Coorens, Elizabeth D. Lightbody, Rosa Toenges +33 more

MinimuMM-seq: Genome Sequencing of Circulating Tumor Cells for Minimally Invasive Molecular Characterization of Multiple Myeloma Pathology

Cancer Discovery(2022)10.1158/2159-8290.cd-22-0482
N/A
0.550DataRank · unranked
38 citations

Jean-Baptiste Alberge, Elizabeth D. Lightbody, Cody J. Boehner, Andrew Dunford, Romanos Sklavenitis‐Pistofidis +19 more

Long-Term Follow-Up Defines the Population That Benefits from Early Interception in a High-Risk Smoldering Multiple Myeloma Clinical Trial Using the Combination of Ixazomib, Lenalidomide, and Dexamethasone

medRxiv(2024)10.1101/2024.04.19.24306082
N/A
0.343DataRank · unranked
6 citations

Michelle P. Aranha, Robert Redd, Michael Timonian, Sophie Magidson, Elizabeth D. Lightbody +17 more

Systematic characterization of therapeutic vulnerabilities in Multiple Myeloma with Amp1q reveals increased sensitivity to the combination of MCL1 and PI3K inhibitors

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.01.551480
N/A
0DataRank · unranked
2 citations

Elizabeth D. Lightbody, Mairéad Reidy, Junko Tsuji, Michelle P. Aranha, Daniel Heilpern-Mallory +15 more

Personalised progression prediction in patients with monoclonal gammopathy of undetermined significance or smouldering multiple myeloma (PANGEA): a retrospective, multicohort study

The Lancet Haematology(2023)10.1016/s2352-3026(22)00386-6
N/A
0DataRank · unranked
81 citations

Federico Ferrari, Samuel S. Freeman, Robert Redd, Habib El‐Khoury, Jacqueline Perry +29 more

Deeper response predicts better outcomes in high-risk-smoldering-myeloma: results of the I-PRISM phase II clinical trial

Nature Communications(2025)10.1038/s41467-024-55308-5
N/A
0DataRank · unranked
14 citations

Michelle P. Aranha, Robert Redd, Michael Timonian, Sophie Magidson, Elizabeth D. Lightbody +17 more

Single-cell RNA sequencing defines distinct disease subtypes and reveals hypo-responsiveness to interferon in asymptomatic Waldenstrom’s Macroglobulinemia

Nature Communications(2025)10.1038/s41467-025-56323-w
N/A
0DataRank · unranked
13 citations

Yoshinobu Konishi, Daniel Heilpern-Mallory, Ting Wu, Nicholas Tsakmaklis, Michelle P. Aranha +17 more

Numbat-multiome: inferring copy number variations by combining RNA and chromatin accessibility information from single-cell data

Briefings in Bioinformatics(2025)10.1093/bib/bbaf516
N/A
0DataRank · unranked
3 citations

Jean-Baptiste Alberge, Tina Keshavarzian, Junko Tsuji, Johan E. Gustafsson, Mahshid Rahmat +13 more