Andrew Srisuwananukorn

MedicineComputer Science

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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 13 papers. Top paper: “Pan-cancer image-based detection of clinically actionable genetic alterations”.

Pan-cancer image-based detection of clinically actionable genetic alterations

Nature Cancer(2020)10.1038/s43018-020-0087-6

N/A

0.963DataRank · unranked

613 citations

Lara R. Heij, Heike I. Grabsch, Chiara Maria Lavinia Loeffler, Amelie Echle, Hannah Sophie Muti +23 more

Artificial intelligence in hematology

Blood(2025)10.1182/blood.2025029876

N/A

0.498DataRank · unranked

19 citations

Olivier Elemento, Sanjay Ahuja, Barbara D. Lam, Moses E. Miles, Roni Shouval +5 more

Antimicrobial resistance is a risk factor for mortality in adults with sickle cell disease

Haematologica(2020)10.3324/haematol.2020.267872

N/A

0DataRank · unranked

6 citations

Jin Han, Rasha Raslan, Michel Gowhari, Faiz Hussain, Franklin Njoku +4 more

Effects of renin‐angiotensin blockade and APOL1 on kidney function in sickle cell disease

eJHaem(2021)10.1002/jha2.259

N/A

0DataRank · unranked

6 citations

Andrew Srisuwananukorn, Binal N. Shah, Robert E. Molokie, James P. Lash, Victor R. Gordeuk +2 more

Type 2 diabetes mellitus burdens among adults with sickle cell disease: A 12‐year single health system‐based cohort analysis

eJHaem(2021)10.1002/jha2.161

N/A

0DataRank · unranked

3 citations

Gregory S. Calip, Edith A. Nutescu, Jin Han, Surrey M. Walton, Andrew Srisuwananukorn +2 more

Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology

Nature Communications(2022)10.1038/s41467-022-34025-x

N/A

0DataRank · unranked

125 citations

Andrew Srisuwananukorn, Dmitry Karpeyev, Siddhi Ramesh, Sara Kochanny, Brittany Cody +11 more

Multimodal Prediction of Breast Cancer Recurrence Assays and Risk of Recurrence

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.07.499039

N/A

0DataRank · unranked

7 citations

James M. Dolezal, Sara Kochanny, Galina Khramtsova, Jasmine Vickery, Andrew Srisuwananukorn +8 more

Deep learning generates synthetic cancer histology for explainability and education

npj Precision Oncology(2023)10.1038/s41698-023-00399-4

N/A

0DataRank · unranked

72 citations

Rachelle Wolk, Hanna M. Hieromnimon, Frederick M. Howard, Andrew Srisuwananukorn, Dmitry Karpeyev +18 more

Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence

npj Breast Cancer(2023)10.1038/s41523-023-00530-5

N/A

0DataRank · unranked

62 citations

James M. Dolezal, Sara Kochanny, Galina Khramtsova, Jasmine Vickery, Andrew Srisuwananukorn +8 more

Predictors and clinical complications associated with antiphospholipid antibodies in sickle cell disease

eJHaem(2023)10.1002/jha2.643

N/A

0DataRank · unranked

4 citations

Andrew Srisuwananukorn, Rizma Jalees Bajwa, Victor R. Gordeuk, Joyce Rauch, Jerrold S. Levine +2 more

Slideflow: deep learning for digital histopathology with real-time whole-slide visualization

BMC Bioinformatics(2024)10.1186/s12859-024-05758-x

N/A

0DataRank · unranked

68 citations

Sara Kochanny, Emma Dyer, Siddhi Ramesh, Andrew Srisuwananukorn, Matteo Antonio Sacco +5 more

Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence

UNC Libraries(2024)10.17615/nbrq-z246

N/A

0DataRank · unranked

0 citations

Da-Liang Huo, O. I. Olopade, Charles M. Perou, Rachita Nanda, Ning Chen +8 more

Clinical, laboratory, and genetic risk factors for thrombosis in sickle cell disease

Blood Advances(2020)10.1182/bloodadvances.2019001384

N/A

0DataRank · unranked

51 citations

Rasha Raslan, Xu Zhang, Binal N. Shah, Jin Han, Michel Gowhari +4 more