Kim Le
Impact in
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 4
- Fungal and yeast genetics research 2
-
- Cellular Mechanics and Interactions 5
- Microtubule and mitosis dynamics 3
- Co-authors
- Florence Lederer (9 shared papers)Marie-France Carlier (3 shared papers)Louis Renault (2 shared papers)Michael Carey (2 shared papers)Liqun Zhang (2 shared papers)Sanjiv S. Gambhir (2 shared papers)Lily Wu (2 shared papers)Montserrat Bosch (1 shared paper)
- Journals
- Biochemistry (3 papers)Molecular Therapy (2 papers)Biotechnology Journal (2 papers)Journal of Biological Chemistry (2 papers)The EMBO Journal (1 paper)
- Partner nations
- FranceUnited StatesMorocco
In The Last Decade
Kim Le
21 papers receiving 587 citations
Peers
Comparison fields: 5 of 71
- Cell Biology 190
- Biochemistry 72
- Biophysics 55
- Molecular Biology 394
- Genetics 121
Countries citing papers authored by Kim Le
This map shows the geographic impact of Kim Le'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 Kim Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Le more than expected).
Fields of papers citing papers by Kim Le
This network shows the impact of papers produced by Kim Le. 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 Kim Le. The network helps show where Kim Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Kim Le, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 105 | |
| 2 | 2007 | 91 | |
| 3 | 1991 | 59 | |
| 4 | 2003 | 45 | |
| 5 | 2008 | 43 | |
| 6 | 1983 | 39 | |
| 7 | 2019 | 35 | |
| 8 | 2005 | 29 | |
| 9 | 2010 | 28 | |
| 10 | 2017 | 28 | |
| 11 | 1993 | 18 | |
| 12 | 2013 | 13 | |
| 13 | 1995 | 12 | |
| 14 | 1978 | 12 | |
| 15 | 2006 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2008 | 10 | |
| 18 | 1998 | 7 | |
| 19 | 2010 | 7 | |
| 20 | 2003 | 5 |
About Kim Le
Kim Le is a scholar working on Molecular Biology, Cell Biology, Biochemistry, Oncology and Clinical Biochemistry, having authored 21 papers that have together received 612 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (5 papers), Cellular Mechanics and Interactions (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Metabolism and Genetic Disorders (3 papers), Microtubule and mitosis dynamics (3 papers), CAR-T cell therapy research (3 papers), Virus-based gene therapy research (3 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Cell Biology (190 citations), Biochemistry (72 citations), Biophysics (55 citations), Molecular Biology (394 citations) and Genetics (121 citations). Kim Le has collaborated with scholars based in France, United States and Morocco. Frequent co-authors include Florence Lederer, Marie-France Carlier, Louis Renault, Michael Carey, Liqun Zhang, Sanjiv S. Gambhir, Lily Wu, Montserrat Bosch, John J. Correia and Beáta Bugyi. Their work appears in journals such as Biochemistry, Molecular Therapy, Biotechnology Journal, Journal of Biological Chemistry and The EMBO Journal.
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.