Youngran Kim
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Health Informatics top 10%
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 6
-
- Health and Wellbeing Research 8
- Co-authors
- Bong‐Woo Chung (9 shared papers)Gi‐Wook Choi (8 shared papers)Minhee Han (5 shared papers)Trudy Millard Krause (8 shared papers)Yule Kim (2 shared papers)David C. Goodman (5 shared papers)Myungsun Lee (4 shared papers)Yunje Cho (5 shared papers)
- Journals
- Korean Journal of Chemical Engineering (3 papers)PLoS ONE (2 papers)JAMA Network Open (2 papers)Journal of Geriatric Psychiatry and Neurology (2 papers)BMC Complementary and Alternative Medicine (2 papers)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Youngran Kim
102 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 153
- Infectious Diseases 234
- Health Informatics 15
- Epidemiology 221
- Neurology 94
- Endocrinology 30
Countries citing papers authored by Youngran Kim
This map shows the geographic impact of Youngran 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 Youngran Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngran Kim more than expected).
Fields of papers citing papers by Youngran Kim
This network shows the impact of papers produced by Youngran 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 Youngran Kim. The network helps show where Youngran Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Youngran Kim, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 94 | |
| 2 | 2015 | 90 | |
| 3 | 2013 | 70 | |
| 4 | 2010 | 63 | |
| 5 | 2014 | 57 | |
| 6 | 2021 | 53 | |
| 7 | 2021 | 52 | |
| 8 | 2014 | 45 | |
| 9 | 2023 | 44 | |
| 10 | 2021 | 44 | |
| 11 | 2010 | 37 | |
| 12 | 2013 | 37 | |
| 13 | 2019 | 33 | |
| 14 | 2009 | 30 | |
| 15 | 2008 | 27 | |
| 16 | 2013 | 26 | |
| 17 | 2019 | 25 | |
| 18 | 2023 | 24 | |
| 19 | 1999 | 23 | |
| 20 | 2006 | 22 |
About Youngran Kim
Youngran Kim is a scholar working on Molecular Biology, General Health Professions, Epidemiology, Biomedical Engineering and Information Systems, having authored 130 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (11 papers), Diverse Approaches in Healthcare and Education Studies (9 papers), Education and Learning Interventions (9 papers), Biofuel production and bioconversion (9 papers), Diverse Topics in Contemporary Research (8 papers), Health and Wellbeing Research (8 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Consumer Perception and Purchasing Behavior (5 papers). The work is most often cited by research in Infectious Diseases (234 citations), Health Informatics (15 citations), Epidemiology (221 citations), Neurology (94 citations) and Endocrinology (30 citations). Youngran Kim has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Bong‐Woo Chung, Gi‐Wook Choi, Minhee Han, Trudy Millard Krause, Yule Kim, David C. Goodman, Myungsun Lee, Yunje Cho, Clifton E. Barry and Laura E. Via. Their work appears in journals such as Korean Journal of Chemical Engineering, PLoS ONE, JAMA Network Open, Journal of Geriatric Psychiatry and Neurology and BMC Complementary and Alternative Medicine.
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.