Jin Sun No

706 citations
35 papers · 459 · h-index 14

Impact in

Papers in

Jin Sun No

32 papers receiving 453 citations

Peers

Jin Sun No
Comparison fields: 5 of 37
  • Infectious Diseases 375
  • Endocrinology 27
  • Global and Planetary Change 103
  • Animal Science and Zoology 43
  • Ecology, Evolution, Behavior and Systematics 70
Replace Zhao-Xiao Wang with:
Zhao-Xiao Wang China
Yonggang Qu China
S.M. de Boer Netherlands
Jin Won Song South Korea
Shuāng Táng China
Rasa Petraitytė-Burneikienė Lithuania
Karen L. Hutchinson United States
Sabrina Weiß Germany
Kirill Nemirov Finland
Jin Sun No relative to Zhao-Xiao Wang China Zhao-Xiao Wang's profile →
Citations per field
00.5×6.2×
Zhao-Xiao Wang · 1×
Citations per year

Countries citing papers authored by Jin Sun No

Since Specialization
Citations

This map shows the geographic impact of Jin Sun No'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 Jin Sun No with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Sun No more than expected).

Fields of papers citing papers by Jin Sun No

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Sun No. 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 Jin Sun No. The network helps show where Jin Sun No may publish in the future.

Co-authors

The 25 scholars most cited alongside Jin Sun No, 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 Jin Sun No Line = papers co-authored together Jin Sun No links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202147
2 201633
3 201633
4 201832
5 202128
6 201727
7 201925
8 202124
9 201624
10 202119
11 201618
12 202016
13 202114
14 202114
15 202113
16 202112
17 201711
18 201610
19 202310
20 20228

About Jin Sun No

Jin Sun No is a scholar working on Infectious Diseases, Global and Planetary Change, Public Health, Environmental and Occupational Health, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 35 papers that have together received 459 indexed citations. Recurring topics across this work include Viral Infections and Vectors (22 papers), Fire effects on ecosystems (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Viral Infections and Outbreaks Research (8 papers), Mosquito-borne diseases and control (4 papers), Bacteriophages and microbial interactions (4 papers), Animal Virus Infections Studies (4 papers) and Vector-Borne Animal Diseases (3 papers). The work is most often cited by research in Infectious Diseases (375 citations), Endocrinology (27 citations), Global and Planetary Change (103 citations), Animal Science and Zoology (43 citations) and Ecology, Evolution, Behavior and Systematics (70 citations). Jin Sun No has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Seung‐Ho Lee, Won‐Keun Kim, Jin‐Won Song, Se Hun Gu, Terry A. Klein, Seong Tae Jeong, Dae-Sang Lee, Seungchan Cho, Kyungmin Park and Heung-Chul Kim. Their work appears in journals such as PLoS neglected tropical diseases, Viruses, American Journal of Tropical Medicine and Hygiene, Virology and Journal of Medical Virology.

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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