Yide Sun

660 citations
27 papers · 471 · h-index 13

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • HIV Research and Treatment 21
    • Immune Cell Function and Interaction 12
    • T-cell and B-cell Immunology 3

Yide Sun

25 papers receiving 460 citations

Peers

Yide Sun
Comparison fields: 5 of 63
  • Virology 310
  • Immunology 215
  • Infectious Diseases 106
  • Radiology, Nuclear Medicine and Imaging 75
  • Epidemiology 96
Replace Donna J. Eastman with:
Donna J. Eastman United States
Nienke E. van Houten Canada
Sergei I. Bazhan Russia
Reinhold Benthin Sweden
Lance Ching United States
Steve Norley Germany
C Fracasso Italy
Samir K. Lakhashe United States
Susan Hilt United States
Molati Nonyane South Africa
Yide Sun relative to Donna J. Eastman United States Donna J. Eastman's profile →
Citations per field
00.5×10×14×
Donna J. Eastman · 1×
Citations per year

Countries citing papers authored by Yide Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yide Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201056
2 199956
3 200541
4 200929
5 200729
6 201128
7 201125
8 200425
9 201125
10 201221
11 200620
12 200918
13 201317
14 201212
15 202210
16 20069
17 20159
18 20148
19 20088
20 20207

About Yide Sun

Yide Sun is a scholar working on Virology, Immunology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Sociology and Political Science, having authored 27 papers that have together received 471 indexed citations. Recurring topics across this work include HIV Research and Treatment (21 papers), Immune Cell Function and Interaction (12 papers), HIV/AIDS drug development and treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), T-cell and B-cell Immunology (3 papers), HIV/AIDS Research and Interventions (3 papers), Digital Marketing and Social Media (3 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Virology (310 citations), Immunology (215 citations), Infectious Diseases (106 citations), Radiology, Nuclear Medicine and Imaging (75 citations) and Epidemiology (96 citations). Yide Sun has collaborated with scholars based in United States, China and France. Frequent co-authors include Susan W. Barnett, Indresh K. Srivastava, Elaine Kan, Ying Lian, Jeffrey B. Ulmer, Brian Burke, David C. Montefiori, John Donnelly, Jan zur Megede and Jonathan L. Heeney. Their work appears in journals such as Journal of Virology, Virology, PLoS ONE, Journal of Biological Chemistry and AIDS.

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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