James Sun

8.0k citations
16 papers · 715 · h-index 8

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
    • Lung Cancer Research Studies
    • HER2/EGFR in Cancer Research

Papers in

    • Cancer Genomics and Diagnostics 14
    • Breast Cancer Treatment Studies 1
    • Cancer Immunotherapy and Biomarkers 4
    • Colorectal Cancer Treatments and Studies 1

James Sun

16 papers receiving 707 citations

Peers

James Sun
Comparison fields: 5 of 51
  • Cancer Research 295
  • Oncology 496
  • Pathology and Forensic Medicine 196
  • Pulmonary and Respiratory Medicine 293
  • Reproductive Medicine 22
Replace Beth Z. Clark with:
Beth Z. Clark United States
Kyle Gowen United States
Erna Forgó United States
Carin R. Espenschied United States
Nike Beaubier United States
Carla Pinto Portugal
Sohail Balasubramanian United States
Eiichi Sasaki Japan
Annette Gylling Finland
C. Fisher United Kingdom
James Sun relative to Beth Z. Clark United States Beth Z. Clark's profile →
Citations per field
00.5×1.7×
Beth Z. Clark · 1×
Citations per year

Countries citing papers authored by James Sun

Since Specialization
Citations

This map shows the geographic impact of James Sun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Sun more than expected).

Fields of papers citing papers by James Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Sun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James Sun. The network helps show where James Sun may publish in the future.

Co-authors

The 25 scholars most cited alongside James Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with James Sun Line = papers co-authored together James Sun links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2018177
2 2019162
3 2018149
4 2016147
5 201625
6 201614
7 201411
8 201710
9 20156
10 20173
11 20153
12 20162
13 20162
14 20172
15 20171
16 20181

About James Sun

James Sun is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 16 papers that have together received 715 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (14 papers), Genetic factors in colorectal cancer (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Lung Cancer Treatments and Mutations (2 papers), BRCA gene mutations in cancer (2 papers), Colorectal Cancer Treatments and Studies (1 paper) and Breast Cancer Treatment Studies (1 paper). The work is most often cited by research in Cancer Research (295 citations), Oncology (496 citations), Pathology and Forensic Medicine (196 citations), Pulmonary and Respiratory Medicine (293 citations) and Reproductive Medicine (22 citations). James Sun has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Jeffrey S. Ross, Vincent A. Miller, Garrett M. Frampton, David Fabrizio, Phil Stephens, Eric M. Sanford, Siraj M. Ali, Kyle Gowen, Alexa B. Schrock and Philip J. Stephens. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Cancer, Journal of Molecular Diagnostics and PLoS Computational Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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