Nancy E. Kleckner
Impact in
- Genetics top 5%
- Bacterial Genetics and Biotechnology
- Molecular Biology top 5%
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
Papers in
- Genetics 6
- Bacterial Genetics and Biotechnology 5
-
- Microtubule and mitosis dynamics 4
- Cellular Mechanics and Interactions 2
- Co-authors
- Joseph L. Campbell (2 shared papers)Eric A. Alani (1 shared paper)Liang Cao (1 shared paper)Yuval Blat (1 shared paper)Beth M. Weiner (2 shared papers)Donald G. Ross (2 shared papers)Min Lu (1 shared paper)David Botstein (1 shared paper)
- Journals
- Cell (4 papers)Proceedings of the National Academy of Sciences (3 papers)Genetics (1 paper)BioEssays (1 paper)Gene (1 paper)
- Partner nations
- United StatesFranceChina
In The Last Decade
Nancy E. Kleckner
13 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 83
- Genetics 728
- Molecular Biology 1.8k
- Cell Biology 274
- Molecular Medicine 78
- Endocrinology 68
Countries citing papers authored by Nancy E. Kleckner
This map shows the geographic impact of Nancy E. Kleckner'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 Nancy E. Kleckner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy E. Kleckner more than expected).
Fields of papers citing papers by Nancy E. Kleckner
This network shows the impact of papers produced by Nancy E. Kleckner. 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 Nancy E. Kleckner. The network helps show where Nancy E. Kleckner may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy E. Kleckner, 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 | 1990 | 585 | |
| 2 | 1990 | 400 | |
| 3 | 1999 | 322 | |
| 4 | 2013 | 228 | |
| 5 | 1978 | 185 | |
| 6 | 2010 | 112 | |
| 7 | 1994 | 92 | |
| 8 | 2020 | 37 | |
| 9 | 2019 | 29 | |
| 10 | 1980 | 23 | |
| 11 | 1988 | 18 | |
| 12 | 2020 | 10 | |
| 13 | 2022 | 10 |
About Nancy E. Kleckner
Nancy E. Kleckner is a scholar working on Genetics, Cell Biology, Molecular Biology, Ecology and Biophysics, having authored 13 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Microtubule and mitosis dynamics (4 papers), Genomics and Chromatin Dynamics (4 papers), Bacteriophages and microbial interactions (3 papers), DNA Repair Mechanisms (3 papers), Chromosomal and Genetic Variations (2 papers), Cellular Mechanics and Interactions (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Genetics (728 citations), Molecular Biology (1.8k citations), Cell Biology (274 citations), Molecular Medicine (78 citations) and Endocrinology (68 citations). Nancy E. Kleckner has collaborated with scholars based in United States, France and China. Frequent co-authors include Joseph L. Campbell, Eric A. Alani, Liang Cao, Yuval Blat, Beth M. Weiner, Donald G. Ross, Min Lu, David Botstein, David F. Barker and Jay K. Fisher. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences, Genetics, BioEssays and Gene.
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.