Ryan Sun

3.8k citations
57 papers · 590 · h-index 14

Impact in

Papers in

    • Colorectal Cancer Treatments and Studies 6
    • Cancer Immunotherapy and Biomarkers 4
    • CAR-T cell therapy research 4

Ryan Sun

53 papers receiving 585 citations

Peers

Ryan Sun
Comparison fields: 5 of 97
  • Cancer Research 82
  • Oncology 137
  • Gastroenterology 21
  • Genetics 105
  • Molecular Biology 223
Replace Vincenzo Nardini with:
Vincenzo Nardini Italy
Edna Efrati Israel
Giuseppe Biscaglia Italy
Caroline Clark United Kingdom
Izabela Łaczmańska Poland
Joseph Maranville United States
Valerie Pestinger United Kingdom
Yiqian Wu United States
Cassandra L. Sather United States
Prashant V. Thakkar United States
Ryan Sun relative to Vincenzo Nardini Italy Vincenzo Nardini's profile →
Citations per field
00.5×5.6×
Vincenzo Nardini · 1×
Citations per year

Countries citing papers authored by Ryan Sun

Since Specialization
Citations

This map shows the geographic impact of Ryan 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 Ryan Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Sun more than expected).

Fields of papers citing papers by Ryan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan 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 Ryan Sun. The network helps show where Ryan Sun may publish in the future.

Co-authors

The 25 scholars most cited alongside Ryan 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 Ryan Sun Line = papers co-authored together Ryan Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201195
2 202245
3 201937
4 201035
5 201933
6 202126
7 202226
8 202024
9 201723
10 202023
11 201017
12 202016
13 202214
14 201713
15 201212
16 201512
17 202112
18 202310
19 202410
20 20239

About Ryan Sun

Ryan Sun is a scholar working on Oncology, Molecular Biology, Cancer Research, Genetics and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 590 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Colorectal Cancer Treatments and Studies (6 papers), Cancer Genomics and Diagnostics (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), CAR-T cell therapy research (4 papers), Statistical Methods and Inference (3 papers), Advanced Causal Inference Techniques (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Cancer Research (82 citations), Oncology (137 citations), Gastroenterology (21 citations), Genetics (105 citations) and Molecular Biology (223 citations). Ryan Sun has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xihong Lin, Lili Wu, Steven Zimmerly, Kanwal Raghav, Hongfei Zhou, Lu Yang, Ping Yin, Scott Kopetz, David C. Christiani and Peter Kraft. Their work appears in journals such as Journal of Clinical Oncology, Biometrics, JCO Precision Oncology, Journal of the American Statistical Association and Journal for ImmunoTherapy of Cancer.

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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