Leslie Knipling
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Microbiology top 5%
- Bacterial Infections and Vaccines
Papers in
-
- RNA and protein synthesis mechanisms 10
- 14-3-3 protein interactions 3
- Chemical Synthesis and Analysis 3
- Genetics 12
- Bacterial Genetics and Biotechnology 12
- Co-authors
- J. Wolff (15 shared papers)Dan L. Sackett (7 shared papers)J. Wolff (6 shared papers)Fabrizio Gentile (5 shared papers)Deborah M. Hinton (11 shared papers)Giuseppe Palumbo (1 shared paper)H. J. Cahnmann (1 shared paper)Jennifer Hwang (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Proceedings of the National Academy of Sciences (3 papers)Biochemistry (3 papers)Nucleic Acids Research (2 papers)Protein Science (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Leslie Knipling
31 papers receiving 905 citations
Peers
Comparison fields: 5 of 84
- Cell Biology 262
- Microbiology 96
- Molecular Biology 611
- Endocrinology 37
- Pharmacology 99
Countries citing papers authored by Leslie Knipling
This map shows the geographic impact of Leslie Knipling'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 Leslie Knipling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leslie Knipling more than expected).
Fields of papers citing papers by Leslie Knipling
This network shows the impact of papers produced by Leslie Knipling. 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 Leslie Knipling. The network helps show where Leslie Knipling may publish in the future.
Co-authors
The 25 scholars most cited alongside Leslie Knipling, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 136 | |
| 2 | 1993 | 124 | |
| 3 | 2002 | 92 | |
| 4 | 1988 | 70 | |
| 5 | 1996 | 54 | |
| 6 | 1991 | 51 | |
| 7 | 2005 | 48 | |
| 8 | 1991 | 37 | |
| 9 | 1999 | 35 | |
| 10 | 1990 | 25 | |
| 11 | 1992 | 24 | |
| 12 | 2006 | 23 | |
| 13 | 1996 | 22 | |
| 14 | 2000 | 21 | |
| 15 | 2015 | 19 | |
| 16 | 1995 | 16 | |
| 17 | 2013 | 13 | |
| 18 | 1989 | 12 | |
| 19 | 2002 | 12 | |
| 20 | 2018 | 11 |
About Leslie Knipling
Leslie Knipling is a scholar working on Molecular Biology, Genetics, Cell Biology, Ecology and Microbiology, having authored 32 papers that have together received 919 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (12 papers), Microtubule and mitosis dynamics (10 papers), RNA and protein synthesis mechanisms (10 papers), Bacterial Infections and Vaccines (6 papers), Bacteriophages and microbial interactions (6 papers), 14-3-3 protein interactions (3 papers), Chemical Synthesis and Analysis (3 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Cell Biology (262 citations), Microbiology (96 citations), Molecular Biology (611 citations), Endocrinology (37 citations) and Pharmacology (99 citations). Leslie Knipling has collaborated with scholars based in United States, Germany and France. Frequent co-authors include J. Wolff, Dan L. Sackett, J. Wolff, Fabrizio Gentile, Deborah M. Hinton, Giuseppe Palumbo, H. J. Cahnmann, Jennifer Hwang, Peter McPhie and Meng‐Lun Hsieh. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemistry, Nucleic Acids Research and Protein Science.
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.