Wan Sun

588 citations
24 papers · 322 · h-index 10

Impact in

    • Chronic Lymphocytic Leukemia Research
    • Inflammatory Bowel Disease
    • Cancer-related Molecular Pathways
    • HER2/EGFR in Cancer Research

Papers in

Wan Sun

23 papers receiving 322 citations

Peers

Wan Sun
Comparison fields: 5 of 63
  • Genetics 71
  • Oncology 149
  • Pulmonary and Respiratory Medicine 145
  • Cancer Research 39
  • Dermatology 15
Replace Gail L. Brown with:
Gail L. Brown United States
Stefania Crisci Italy
Shanique Martin United States
Frank Richard Germany
Jessica Boklan United States
Andrew Thomason United Kingdom
Ignazia La Torre Italy
Saya Jacob United States
Alexey Moisseev Russia
Wan Sun relative to Gail L. Brown United States Gail L. Brown's profile →
Citations per field
00.5×
Gail L. Brown · 1×
Citations per year

Countries citing papers authored by Wan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Wan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201859
2 201758
3 202036
4 201736
5 202432
6
Influences of neoadjuvant chemotherapy on clinical indicators, prognosis and neutrophil/lymphocyte ratio of stage IB2-IIB cervical cancer.
202112
7 202111
8 201311
9 20219
10 20199
11 20209
12 20178
13 20207
14 20175
15 20174
16 20194
17 20143
18 20242
19 20212
20 20252

About Wan Sun

Wan Sun is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Immunology, Genetics and Molecular Biology, having authored 24 papers that have together received 322 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (9 papers), Chronic Lymphocytic Leukemia Research (4 papers), Biosimilars and Bioanalytical Methods (4 papers), HER2/EGFR in Cancer Research (3 papers), Pharmaceutical studies and practices (3 papers), Inflammatory Bowel Disease (3 papers), Cancer-related Molecular Pathways (3 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Genetics (71 citations), Oncology (149 citations), Pulmonary and Respiratory Medicine (145 citations), Cancer Research (39 citations) and Dermatology (15 citations). Wan Sun has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Diane Wang, Richard S. Finn, Anna Plotka, Melissa O’Gorman, Nicholas C. Turner, Karen J. Klamerus, Sylvester Pawlak, Maha Kosa, Geoffrey I. Shapiro and Ana Ruiz-Garcı́a. Their work appears in journals such as Journal of Crohn s and Colitis, The Journal of Clinical Pharmacology, BMC Plant Biology, Cancer Research and Journal of Pharmacokinetics and Pharmacodynamics.

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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