Jeeho D. Kim

410 citations
11 papers · 249 · h-index 5

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Animal Virus Infections Studies

Papers in

Jeeho D. Kim

7 papers receiving 246 citations

Peers

Jeeho D. Kim
Comparison fields: 5 of 56
  • Infectious Diseases 168
  • Animal Science and Zoology 96
  • Modeling and Simulation 8
  • Genetics 23
  • Pulmonary and Respiratory Medicine 24
Replace Xiaofang Peng with:
Xiaofang Peng China
Charleen Hunt United States
Ashley Y. Wu United States
Baohui Zhu Japan
Courtney E. Comar United States
Wendong Han China
Jalees A. Nasir Canada
Andreu Garcia‐Vilanova United States
Nell Saunders France
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Citations per field
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Citations per year

Countries citing papers authored by Jeeho D. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jeeho D. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeeho D. 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 Jeeho D. Kim. The network helps show where Jeeho D. Kim may publish in the future.

Co-authors

The 25 scholars most cited alongside Jeeho D. Kim, 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 Jeeho D. Kim Line = papers co-authored together Jeeho D. Kim links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2013188
2 201929
3 201814
4 202110
5 20244
6 20203
7 20221
8 20250
9 20230
10 20250
11 20250

About Jeeho D. Kim

Jeeho D. Kim is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Infectious Diseases, Otorhinolaryngology and Animal Science and Zoology, having authored 11 papers that have together received 249 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (2 papers), Sinusitis and nasal conditions (2 papers), Viral gastroenteritis research and epidemiology (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Head and Neck Surgical Oncology (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Infectious Diseases (168 citations), Animal Science and Zoology (96 citations), Modeling and Simulation (8 citations), Genetics (23 citations) and Pulmonary and Respiratory Medicine (24 citations). Jeeho D. Kim has collaborated with scholars based in United States, Italy and Mexico. Frequent co-authors include Scott H. Randell, Peter F. Bove, Eric Donaldson, Rachel L. Graham, Jesica Swanstrom, Sudhakar Agnihothram, Vineet D. Menachery, Boyd L. Yount, Ralph S. Baric and Sonia Grego. Their work appears in journals such as Cancers, Journal of neurosurgery, Thorax, Journal of Clinical Medicine and Proceedings of the National Academy of Sciences.

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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