Jin‐Won Song

1.7k total citations
54 papers, 811 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 54 papers receiving a total of 811 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Infectious Diseases, 20 papers in Global and Planetary Change and 19 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Jin‐Won Song's work include Viral Infections and Vectors (40 papers), Fire effects on ecosystems (20 papers) and Vector-Borne Animal Diseases (18 papers). Jin‐Won Song is often cited by papers focused on Viral Infections and Vectors (40 papers), Fire effects on ecosystems (20 papers) and Vector-Borne Animal Diseases (18 papers). Jin‐Won Song collaborates with scholars based in South Korea, United States and Japan. Jin‐Won Song's co-authors include Ki‐Joon Song, Won‐Keun Kim, Terry A. Klein, Luck Ju Baek, Heung-Chul Kim, Richard Yanagihara, Seung‐Ho Lee, Se Hun Gu, Jin Sun No and Hae Ji Kang and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Virology.

In The Last Decade

Jin‐Won Song

51 papers receiving 795 citations

Peers

Jin‐Won Song
Comparison fields: 5 of 56
  • Infectious Diseases 649
  • Global and Planetary Change 278
  • Ecology, Evolution, Behavior and Systematics 205
  • Public Health, Environmental and Occupational Health 179
  • Epidemiology 129
Replace Luiz Tadeu Moraes Figueiredo with:
Luiz Tadeu Moraes Figueiredo Brazil
Yong-Kyu Chu United States
Nicole D. Tischler Chile
Jin Sun No South Korea
Darci R. Smith United States
Åke Lundkvist Sweden
Angelina Plyusnina Finland
Stéphanie Devignot Germany
Maria N.B. Cajimat United States
Miklós Oldal Hungary
Luiz Tadeu Moraes Figueiredo Brazil View profile →
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

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 1
5 6
6 2
7 3
8 8
9 5
10 7
11 15
12 17
13 13
14 13
15 26
16 4
17
Seroepizootiology of hantavirus infection in indigenous rodents in Korea, during 1995-2000
5
18 12
19 42
20 14

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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