Sang‐Moo Kang

10.4k total citations
238 papers, 8.5k citations indexed

About

Sang‐Moo Kang is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Sang‐Moo Kang has authored 238 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Epidemiology, 138 papers in Immunology and 43 papers in Infectious Diseases. Recurrent topics in Sang‐Moo Kang's work include Influenza Virus Research Studies (126 papers), Respiratory viral infections research (103 papers) and Immune Cell Function and Interaction (67 papers). Sang‐Moo Kang is often cited by papers focused on Influenza Virus Research Studies (126 papers), Respiratory viral infections research (103 papers) and Immune Cell Function and Interaction (67 papers). Sang‐Moo Kang collaborates with scholars based in United States, South Korea and Canada. Sang‐Moo Kang's co-authors include Richard W. Compans, Fu‐Shi Quan, Mark R. Prausnitz, Jae-Min Song, Eun‐Ju Ko, Yeu‐Chun Kim, Dae‐Goon Yoo, Ki‐Hye Kim, Bao‐Zhong Wang and Young‐Tae Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Sang‐Moo Kang

236 papers receiving 8.3k citations

Peers

Sang‐Moo Kang
Comparison fields: 5 of 134
  • Epidemiology 3.9k
  • Immunology 3.4k
  • Molecular Biology 2.5k
  • Infectious Diseases 2.0k
  • Pharmaceutical Science 1.5k
Gideon Kersten Netherlands
Geert Leroux‐Roels Belgium
Blaise Corthésy Switzerland
Marcelo B. Sztein United States
Brør Morein Sweden
Stuart M. Levitz United States
Arnaud M. Didierlaurent Switzerland
Mark J. Newman United States
Randy A. Albrecht United States
Motoyuki Sugai Japan
Gideon Kersten Netherlands View profile →
Citations per field, relative to Sang‐Moo Kang
Sang‐Moo Kang · 1×
Citations per year, relative to Sang‐Moo Kang
Sang‐Moo Kang · 1×

Countries citing papers authored by Sang‐Moo Kang

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Moo Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Moo Kang. 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 Sang‐Moo Kang. The network helps show where Sang‐Moo Kang may publish in the future.

Co-authorship network of co-authors of Sang‐Moo Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Moo Kang. A scholar is included among the top collaborators of Sang‐Moo Kang 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 Sang‐Moo Kang. Sang‐Moo Kang 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 0
2 1
3 3
4 7
5 5
6 23
7 10
8 5
9 2
10 4
11 1
12 6
13 51
14 4
15 11
16 7
17 9
18 17
19 6
20 129

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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