Jake Whang
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Epidemiology top 10%
- Mycobacterium research and diagnosis
- Autophagy in Disease and Therapy
Papers in
- Epidemiology 28
- Mycobacterium research and diagnosis 25
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- Tuberculosis Research and Epidemiology 17
- Co-authors
- Hwa‐Jung Kim (10 shared papers)Sung Jae Shin (10 shared papers)Chul Hee Choi (4 shared papers)Yong Woo Back (4 shared papers)Kang-In Lee (3 shared papers)Pyung-Ok Lim (2 shared papers)Won‐Jung Koh (3 shared papers)Eric S. Lander (2 shared papers)
- Journals
- Frontiers in Microbiology (2 papers)International Journal of Molecular Sciences (2 papers)Mammalian Genome (2 papers)Virulence (2 papers)Clinical Infectious Diseases (2 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jake Whang
34 papers receiving 566 citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 234
- Epidemiology 307
- Immunology 132
- Small Animals 37
- Molecular Medicine 14
Countries citing papers authored by Jake Whang
This map shows the geographic impact of Jake Whang'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 Jake Whang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jake Whang more than expected).
Fields of papers citing papers by Jake Whang
This network shows the impact of papers produced by Jake Whang. 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 Jake Whang. The network helps show where Jake Whang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jake Whang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 78 | |
| 2 | 1997 | 57 | |
| 3 | 2017 | 47 | |
| 4 | 2011 | 41 | |
| 5 | 2020 | 40 | |
| 6 | 2022 | 39 | |
| 7 | 2016 | 33 | |
| 8 | 2010 | 28 | |
| 9 | 2022 | 20 | |
| 10 | 2016 | 20 | |
| 11 | 2017 | 20 | |
| 12 | 2011 | 19 | |
| 13 | 2023 | 19 | |
| 14 | 2020 | 19 | |
| 15 | 2021 | 17 | |
| 16 | 2021 | 9 | |
| 17 | 2011 | 9 | |
| 18 | 2011 | 8 | |
| 19 | 2024 | 7 | |
| 20 | 1997 | 6 |
About Jake Whang
Jake Whang is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Small Animals and Immunology, having authored 37 papers that have together received 575 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (25 papers), Tuberculosis Research and Epidemiology (17 papers), Infectious Diseases and Mycology (5 papers), Pharmacological Effects of Natural Compounds (3 papers), Immunotherapy and Immune Responses (3 papers), Ginseng Biological Effects and Applications (3 papers), Cancer-related molecular mechanisms research (3 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Infectious Diseases (234 citations), Epidemiology (307 citations), Immunology (132 citations), Small Animals (37 citations) and Molecular Medicine (14 citations). Jake Whang has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hwa‐Jung Kim, Sung Jae Shin, Chul Hee Choi, Yong Woo Back, Kang-In Lee, Pyung-Ok Lim, Won‐Jung Koh, Eric S. Lander, Maryann Haldi and Seungwha Paik. Their work appears in journals such as Frontiers in Microbiology, International Journal of Molecular Sciences, Mammalian Genome, Virulence and Clinical Infectious Diseases.
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.