Yae‐Jean Kim

8.8k citations
151 papers · 3.0k indexed · 1 hit paper · h-index 26
Topics
SARS-CoV-2 and COVID-19 Research (22 papers)Respiratory viral infections research (20 papers)Cytomegalovirus and herpesvirus research (19 papers)
Journals
SHILAP Revista de lepidopterologíaBloodPLoS ONE

In The Last Decade

Yae‐Jean Kim

140 papers receiving 3.0k citations

Hit Papers

Middle East respiratory syndrome coronavirus: risk factor...20182026202020232018100200300

Peers

Yae‐Jean Kim
Comparison fields: 5 of 136
  • Infectious Diseases 1.6k
  • Epidemiology 875
  • Surgery 462
  • Pulmonary and Respiratory Medicine 336
  • Modeling and Simulation 290
Replace Kathleen Dooling with:
Kathleen Dooling United States
Thomas Hanslik France
Merete Storgaard Denmark
Hung Fu Tseng United States
Andrea Gori Italy
Reinhard Berner Germany
Christoph Berger Switzerland
Mario Fernández‐Ruiz Spain
Alessandra Bandera Italy
Fehmı Tabak Türkiye
Yae‐Jean Kim relative to Kathleen Dooling United States Kathleen Dooling's profile →
Citations per field
00.5×3.4×
Kathleen Dooling · 1×
Citations per year

Countries citing papers authored by Yae‐Jean Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yae‐Jean Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yae‐Jean Kim. 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 Yae‐Jean Kim. The network helps show where Yae‐Jean Kim may publish in the future.

Co-authorship network of co-authors of Yae‐Jean Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Yae‐Jean Kim. A scholar is included among the top collaborators of Yae‐Jean Kim 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 Yae‐Jean Kim. Yae‐Jean Kim 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
#WorkIndexed citations
1 0
2 3
3 1
4 2
5 0
6 0
7 2
8 8
9 0
10 11
11 1
12 14
13 6
14 27
15 25
16 50
17 15
18 27
19 11
20 16

About Yae‐Jean Kim

Yae‐Jean Kim is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology, having authored 151 papers that have together received 3.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (22 papers), Respiratory viral infections research (20 papers) and Cytomegalovirus and herpesvirus research (19 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Modeling and Simulation (290 citations) and Epidemiology (875 citations). Yae‐Jean Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Kyong Ran Peck, Michael Boeckh, Janet A. Englund, David S.C. Hui, Myoung‐don Oh, Alimuddin Zumla, Ziad A. Memish, Esam I. Azhar, Doo Ryeon Chung and Cheol‐In Kang. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

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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