Jae‐Gu Pan
Impact in
- Biotechnology top 2%
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 11
- Enzyme Catalysis and Immobilization 9
- Pharmacology 12
- Pharmacogenetics and Drug Metabolism 12
- Co-authors
- Heung-Chae Jung (24 shared papers)Chul‐Ho Yun (13 shared papers)Joon‐Shick Rhee (2 shared papers)Dong‐Hyun Kim (8 shared papers)Jean‐Michel Lebeault (2 shared papers)Doo‐Il Kim (9 shared papers)Soo-Keun Choi (9 shared papers)Taeho Ahn (9 shared papers)
- Journals
- Applied and Environmental Microbiology (7 papers)Drug Metabolism and Disposition (4 papers)Enzyme and Microbial Technology (4 papers)Journal of Bacteriology (4 papers)Protein Expression and Purification (2 papers)
- Partner nations
- South KoreaUnited StatesIndonesia
In The Last Decade
Jae‐Gu Pan
64 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 113
- Biotechnology 323
- Pharmacology 309
- Geriatrics and Gerontology 89
- Molecular Biology 1.8k
- Microbiology 128
Countries citing papers authored by Jae‐Gu Pan
This map shows the geographic impact of Jae‐Gu Pan'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‐Gu Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae‐Gu Pan more than expected).
Fields of papers citing papers by Jae‐Gu Pan
This network shows the impact of papers produced by Jae‐Gu Pan. 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‐Gu Pan. The network helps show where Jae‐Gu Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jae‐Gu Pan, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 243 | |
| 2 | The diversity of lysine-acetylated proteins in Escherichia coli. | 2008 | 194 |
| 3 | 1999 | 175 | |
| 4 | 1998 | 159 | |
| 5 | 1999 | 152 | |
| 6 | 2000 | 139 | |
| 7 | 2013 | 115 | |
| 8 | 2000 | 93 | |
| 9 | 1998 | 86 | |
| 10 | 2007 | 82 | |
| 11 | 2017 | 76 | |
| 12 | 2009 | 75 | |
| 13 | 2013 | 64 | |
| 14 | 2006 | 64 | |
| 15 | 2018 | 55 | |
| 16 | 2010 | 55 | |
| 17 | 2010 | 54 | |
| 18 | 2008 | 51 | |
| 19 | 2011 | 49 | |
| 20 | 2006 | 48 |
About Jae‐Gu Pan
Jae‐Gu Pan is a scholar working on Molecular Biology, Pharmacology, Ecology, Biotechnology and Genetics, having authored 65 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (12 papers), Microbial Metabolic Engineering and Bioproduction (11 papers), Enzyme Catalysis and Immobilization (9 papers), Bacteriophages and microbial interactions (9 papers), Bacterial Genetics and Biotechnology (8 papers), Computational Drug Discovery Methods (7 papers), Antimicrobial Peptides and Activities (6 papers) and Enzyme Production and Characterization (5 papers). The work is most often cited by research in Biotechnology (323 citations), Pharmacology (309 citations), Geriatrics and Gerontology (89 citations), Molecular Biology (1.8k citations) and Microbiology (128 citations). Jae‐Gu Pan has collaborated with scholars based in South Korea, United States and Indonesia. Frequent co-authors include Heung-Chae Jung, Chul‐Ho Yun, Joon‐Shick Rhee, Dong‐Hyun Kim, Jean‐Michel Lebeault, Doo‐Il Kim, Soo-Keun Choi, Taeho Ahn, Keonhee Kim and Elena A. Mordukhova. Their work appears in journals such as Applied and Environmental Microbiology, Drug Metabolism and Disposition, Enzyme and Microbial Technology, Journal of Bacteriology and Protein Expression and Purification.
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.