Jin Won Song

614 total citations
17 papers, 466 citations indexed

About

Jin Won Song is a scholar working on Infectious Diseases, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Jin Won Song has authored 17 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 5 papers in Global and Planetary Change and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Jin Won Song's work include Viral Infections and Vectors (8 papers), Fire effects on ecosystems (5 papers) and Vector-Borne Animal Diseases (4 papers). Jin Won Song is often cited by papers focused on Viral Infections and Vectors (8 papers), Fire effects on ecosystems (5 papers) and Vector-Borne Animal Diseases (4 papers). Jin Won Song collaborates with scholars based in South Korea, United States and Japan. Jin Won Song's co-authors include Richard Yanagihara, Erich R. Mackow, Brian Hjelle, Norah Torrez‐Martinez, Weihong Song, I. N. Gavrilovskaya, Terry A. Klein, Luck Ju Baek, Seon Hahn Kim and Heung Chul Kim and has published in prestigious journals such as Journal of Virology, Emerging infectious diseases and Virology.

In The Last Decade

Jin Won Song

13 papers receiving 454 citations

Peers

Jin Won Song
Comparison fields: 5 of 52
  • Infectious Diseases 300
  • Parasitology 139
  • Global and Planetary Change 119
  • Public Health, Environmental and Occupational Health 98
  • Epidemiology 91
Replace Judith D. Easterbrook with:
Judith D. Easterbrook United States
Hanan Sheikh Ali Germany
Shu-Qing Zuo China
Udo Bahr Germany
Zhao-Xiao Wang China
Olaf Niederstraßer Germany
H. Kariwa Japan
Gunnel Lindegren Sweden
Luiz Tadeu Moraes Figueiredo Brazil
Sabarish V. Indran United States
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Citations per field, relative to Jin Won Song
Jin Won Song · 1×
Citations per year, relative to Jin Won Song
Jin Won Song · 1×

Countries citing papers authored by Jin Won Song

Since Specialization
Citations

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

Fields of papers citing papers by Jin Won Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Won Song. 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 Won Song. The network helps show where Jin Won Song may publish in the future.

Co-authorship network of co-authors of Jin Won Song

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Won Song. A scholar is included among the top collaborators of Jin Won Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jin Won Song. Jin Won Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 0
5 30
6 12
7 14
8 35
9 15
10 80
11 98
12
[Viral breakthrough in HBeAg-negative chronic hepatitis B patients receiving lamivudine therapy].
2
13 7
14 46
15 38
16 86
17
Seroepidemiological study on the reservoir animals of the aetiological agents of acute haemorrhagic diseases (haemorrhagic fever with renal syndrome, scrub typhus and leptospirosis) in Korea.
3

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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2026