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
-
- 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)Sanjiv S. Gambhir (2 shared papers)Lily Wu (2 shared papers)Liqun Zhang (2 shared papers)Michael Carey (2 shared papers)Beáta Bugyi (1 shared paper)
- Journals
- Biochemistry (3 papers)Molecular Therapy (2 papers)Biotechnology Journal (2 papers)Journal of Biological Chemistry (2 papers)European Journal of Biochemistry (1 paper)
- Partner nations
- FranceUnited StatesMorocco
In The Last Decade
Kim Le
21 papers receiving 559 citations
Peers
Comparison fields: 5 of 74
- Cell Biology 174
- Biochemistry 73
- Biophysics 50
- Molecular Biology 395
- Biotechnology 37
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 | 96 | |
| 2 | 2007 | 83 | |
| 3 | 1991 | 59 | |
| 4 | 2003 | 44 | |
| 5 | 2008 | 40 | |
| 6 | 1983 | 34 | |
| 7 | 2019 | 33 | |
| 8 | 2005 | 29 | |
| 9 | 2010 | 28 | |
| 10 | 2017 | 28 | |
| 11 | 1993 | 18 | |
| 12 | 2013 | 12 | |
| 13 | 1978 | 12 | |
| 14 | 2019 | 11 | |
| 15 | 1995 | 11 | |
| 16 | 2006 | 11 | |
| 17 | 2008 | 8 | |
| 18 | 2010 | 7 | |
| 19 | 1998 | 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 580 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Amino Acid Enzymes and Metabolism (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Metabolism and Genetic Disorders (3 papers), Virus-based gene therapy research (3 papers), CAR-T cell therapy research (3 papers), Microtubule and mitosis dynamics (3 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Cell Biology (174 citations), Biochemistry (73 citations), Biophysics (50 citations), Molecular Biology (395 citations) and Biotechnology (37 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, Sanjiv S. Gambhir, Lily Wu, Liqun Zhang, Michael Carey, Beáta Bugyi, John J. Correia and Montserrat Bosch. Their work appears in journals such as Biochemistry, Molecular Therapy, Biotechnology Journal, Journal of Biological Chemistry and European Journal of Biochemistry.
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.