Jae Bum Kim
Impact in
- Physiology top 0.1%
- Adipose Tissue and Metabolism
- Biochemistry top 0.1%
- Lipid metabolism and biosynthesis
Papers in
- Biochemistry 28
- Lipid metabolism and biosynthesis 27
- Physiology 73
- Adipose Tissue and Metabolism 65
- Co-authors
- Bruce M. SpiegelmanSung Sik ChoeJin Young HuhYun Sok LeePasha SarrafErding HuInjae HwangJong In Kim
- Journals
- Molecular and Cellular Biology (17 papers)Diabetes (16 papers)Journal of Biological Chemistry (15 papers)Biochemical and Biophysical Research Communications (13 papers)Nature Communications (11 papers)
- Partner nations
- South KoreaUnited StatesArmenia
In The Last Decade
Jae Bum Kim
252 papers receiving 20.1k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Physiology 5.8k
- Biochemistry 1.6k
- Cancer Research 2.4k
- Epidemiology 5.2k
- Molecular Biology 10.1k
Countries citing papers authored by Jae Bum Kim
This map shows the geographic impact of Jae Bum 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 Jae Bum Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae Bum Kim more than expected).
Fields of papers citing papers by Jae Bum Kim
This network shows the impact of papers produced by Jae Bum 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 Jae Bum Kim. The network helps show where Jae Bum Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jae Bum 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 15 | |
| 4 | 2021 | 22 | |
| 5 | 2020 | 20 | |
| 6 | 2020 | 11 | |
| 7 | 2020 | 39 | |
| 8 | 2019 | 88 | |
| 9 | 2019 | 35 | |
| 10 | Managers’ Stock-Based Compensation and Disclosures of High Proprietary Cost Information: An Investigation of US Biotech Firms | 2019 | 0 |
| 11 | 2017 | 10 | |
| 12 | The Effect of CEO Stock-Based Compensation on the Pricing of Future Earnings | 2016 | 0 |
| 13 | 2010 | 110 | |
| 14 | 2010 | 47 | |
| 15 | 2010 | 353 | |
| 16 | 2009 | 45 | |
| 17 | 2008 | 54 | |
| 18 | 2004 | 57 | |
| 19 | 2004 | 221 | |
| 20 | 1995 | 290 |
About Jae Bum Kim
Jae Bum Kim is a scholar working on Biochemistry, Physiology, Aging, Accounting and Cancer Research, having authored 255 papers that have together received 20.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (65 papers), Adipokines, Inflammation, and Metabolic Diseases (49 papers), Peroxisome Proliferator-Activated Receptors (32 papers), Lipid metabolism and biosynthesis (27 papers), Cholesterol and Lipid Metabolism (22 papers), Auditing, Earnings Management, Governance (18 papers), Metabolism, Diabetes, and Cancer (18 papers) and Corporate Finance and Governance (16 papers). The work is most often cited by research in Physiology (5.8k citations), Biochemistry (1.6k citations), Cancer Research (2.4k citations), Epidemiology (5.2k citations) and Molecular Biology (10.1k citations). Jae Bum Kim has collaborated with scholars based in South Korea, United States and Armenia. Frequent co-authors include Bruce M. Spiegelman, Sung Sik Choe, Jin Young Huh, Yun Sok Lee, Pasha Sarraf, Erding Hu, Injae Hwang, Jong In Kim, Kang Ho Kim and Margaret E. Wright. Their work appears in journals such as Molecular and Cellular Biology, Diabetes, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Nature Communications.
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.