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

Ruijiang Li

Capital Medical University

ORCID: 0000-0002-0232-5998

Also affiliated with Peking University, Beijing Jishuitan Hospital, National Clinical Research Center for Digestive Diseases, National Center for Mathematics and Interdisciplinary Sciences, Stanford Medicine, National Center for Clinical Laboratories, Stanford University

MedicinePhysics and Astronomy

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 9 papers. Top paper: “Natural killer cell and stroma abundance are independently prognostic and predict gastric cancer chemotherapy benefit”.

Natural killer cell and stroma abundance are independently prognostic and predict gastric cancer chemotherapy benefit

JCI Insight(2020)10.1172/jci.insight.136570
N/A
0DataRank · unranked
91 citations

Yuming Jiang, Guoxin Li, George A. Fisher, Ruijiang Li, Bailiang Li

Integrated imaging and molecular analysis to decipher tumor microenvironment in the era of immunotherapy

Seminars in Cancer Biology(2020)10.1016/j.semcancer.2020.12.005
N/A
0DataRank · unranked
85 citations

Aaron T. Mayer, Ruijiang Li, Jia Wu

Radiological tumour classification across imaging modality and histology

Nature Machine Intelligence(2021)10.1038/s42256-021-00377-0
N/A
0DataRank · unranked
95 citations

Chao Li, Michael F. Gensheimer, Sukhmani K. Padda, Fumi Kato, Hiroki Shirato +11 more

Predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung cancer by CT-based ensemble deep learning: a retrospective study

The Lancet Digital Health(2023)10.1016/s2589-7500(23)00082-1
N/A
0DataRank · unranked
110 citations

Lingzhi Hong, Muhammad Aminu, Natalie I. Vokes, Pingjun Chen, Morteza Salehjahromi +44 more

Morphological diversity of cancer cells predicts prognosis across tumor types

JNCI Journal of the National Cancer Institute(2023)10.1093/jnci/djad243
N/A
0DataRank · unranked
14 citations

Yuming Jiang, Armin Attaranzadeh, Brittany Holmes, Ruijiang Li, Rasoul Sali

Single-Cell Heterogeneity-Aware Transformer-Guided Multiple Instance Learning for Cancer Aneuploidy Prediction From Whole Slide Histopathology Images

IEEE Journal of Biomedical and Health Informatics(2023)10.1109/jbhi.2023.3262454
N/A
0DataRank · unranked
12 citations

Xi Wang, Rasoul Sali, Ruijiang Li, Feiyang Yu

A pathology foundation model for cancer diagnosis and prognosis prediction

Nature(2024)10.1038/s41586-024-07894-z
N/A
0DataRank · unranked
457 citations

Junhan Zhao, Eliana Marostica, Wei Yuan, Jietian Jin, Jiayu Zhang +24 more

Virtual multiplexed immunofluorescence staining from non-antibody-stained fluorescence imaging for gastric cancer prognosis

EBioMedicine(2024)10.1016/j.ebiom.2024.105287
N/A
0DataRank · unranked
23 citations

Yuming Jiang, Zepang Sun, T. Zhang, Wanying Feng, Guoxin Li +3 more

Multimodal analysis of whole slide images in colorectal cancer

npj Digital Medicine(2025)10.1038/s41746-025-02095-y
N/A
0DataRank · unranked
0 citations

Miljana Shulajkovska, Anton Gradišek, Toni Rose Jue, Qifeng Zhou, Yuzhi Guo +6 more