Nancy Kleckner

36.2k total citations · 13 hit papers
189 papers, 28.6k citations indexed

About

Nancy Kleckner is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Nancy Kleckner has authored 189 papers receiving a total of 28.6k indexed citations (citations by other indexed papers that have themselves been cited), including 179 papers in Molecular Biology, 62 papers in Genetics and 44 papers in Plant Science. Recurrent topics in Nancy Kleckner's work include DNA Repair Mechanisms (95 papers), Bacterial Genetics and Biotechnology (53 papers) and Fungal and yeast genetics research (40 papers). Nancy Kleckner is often cited by papers focused on DNA Repair Mechanisms (95 papers), Bacterial Genetics and Biotechnology (53 papers) and Fungal and yeast genetics research (40 papers). Nancy Kleckner collaborates with scholars based in United States, France and China. Nancy Kleckner's co-authors include Denise Zickler, Robert W. Simons, Job Dekker, Martijn Dekker, Karsten Rippe, Eric Alani, Neil Hunter, Scott Keeney, Anthony Schwacha and Craig N. Giroux and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Nancy Kleckner

187 papers receiving 27.7k citations

Hit Papers

Capturing Chromosome Conformation 1977 2026 1993 2009 2002 1987 1997 1999 1992 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nancy Kleckner United States 84 25.3k 7.6k 6.5k 3.5k 2.8k 189 28.6k
Mark Ptashne United States 91 26.5k 1.0× 9.4k 1.2× 2.8k 0.4× 1.3k 0.4× 3.6k 1.3× 204 30.7k
Allan M. Maxam United States 20 18.3k 0.7× 6.2k 0.8× 2.9k 0.4× 948 0.3× 3.0k 1.1× 25 24.1k
Andrei N. Lupas Germany 68 17.8k 0.7× 4.3k 0.6× 2.5k 0.4× 3.7k 1.0× 3.7k 1.3× 201 24.1k
Ronald A. Laskey United Kingdom 64 21.6k 0.9× 4.8k 0.6× 2.5k 0.4× 4.1k 1.2× 1.5k 0.5× 119 29.6k
Clyde A. Hutchison United States 55 15.5k 0.6× 5.1k 0.7× 3.1k 0.5× 704 0.2× 3.4k 1.2× 145 20.7k
Hamilton O. Smith United States 54 16.2k 0.6× 5.7k 0.7× 2.2k 0.3× 670 0.2× 4.0k 1.4× 125 20.5k
Mike O’Donnell United States 82 19.0k 0.7× 8.3k 1.1× 958 0.1× 1.4k 0.4× 1.5k 0.6× 300 21.5k
Stephen C. Kowalczykowski United States 72 16.0k 0.6× 5.0k 0.7× 1.4k 0.2× 850 0.2× 1.0k 0.4× 158 17.0k
Jan Löwe United Kingdom 65 12.6k 0.5× 4.7k 0.6× 1.2k 0.2× 3.8k 1.1× 2.7k 1.0× 147 15.9k
Stewart Shuman United States 73 16.9k 0.7× 3.2k 0.4× 2.2k 0.3× 388 0.1× 3.0k 1.1× 483 21.3k

Countries citing papers authored by Nancy Kleckner

Since Specialization
Citations

This map shows the geographic impact of Nancy 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 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 Kleckner more than expected).

Fields of papers citing papers by Nancy Kleckner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy 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 Kleckner. The network helps show where Nancy Kleckner may publish in the future.

Co-authorship network of co-authors of Nancy Kleckner

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy Kleckner. A scholar is included among the top collaborators of Nancy Kleckner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nancy Kleckner. Nancy Kleckner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
White, Martin A., et al.. (2025). Crossover interference mediates multiscale patterning along meiotic chromosomes. Nature Communications. 16(1). 10453–10453. 1 indexed citations
2.
Debuchy, Robert, et al.. (2024). Canonical and noncanonical roles of Hop1 are crucial for meiotic prophase in the fungus Sordaria macrospora. PLoS Biology. 22(7). e3002705–e3002705. 1 indexed citations
3.
Hong, Soogil, Eui-Hwan Choi, Minsu Lee, et al.. (2024). RPA interacts with Rad52 to promote meiotic crossover and noncrossover recombination. Nucleic Acids Research. 52(7). 3794–3809. 2 indexed citations
4.
Morgan, Chris, Martin A. White, F. Chris H. Franklin, et al.. (2021). Evolution of crossover interference enables stable autopolyploidy by ensuring pairwise partner connections in Arabidopsis arenosa. Current Biology. 31(21). 4713–4726.e4. 49 indexed citations
5.
Veller, Carl, Nancy Kleckner, & Martin A. Nowak. (2019). A rigorous measure of genome-wide genetic shuffling that takes into account crossover positions and Mendel’s second law. Proceedings of the National Academy of Sciences. 116(5). 1659–1668. 54 indexed citations
6.
Wang, Shunxin, Terry Hassold, Patricia A. Hunt, et al.. (2017). Inefficient Crossover Maturation Underlies Elevated Aneuploidy in Human Female Meiosis. Cell. 168(6). 977–989.e17. 104 indexed citations
7.
Liang, Zhangyi, Denise Zickler, Mara Prentiss, et al.. (2015). Chromosomes Progress to Metaphase in Multiple Discrete Steps via Global Compaction/Expansion Cycles. Cell. 161(5). 1124–1137. 88 indexed citations
8.
Kleckner, Nancy, et al.. (2014). The bacterial nucleoid: nature, dynamics and sister segregation. Current Opinion in Microbiology. 22. 127–137. 67 indexed citations
9.
Muyt, Arnaud De, Liangran Zhang, Tristan Piolot, et al.. (2014). E3 ligase Hei10: a multifaceted structure-based signaling molecule with roles within and beyond meiosis. Genes & Development. 28(10). 1111–1123. 74 indexed citations
10.
Danilowicz, Claudia, et al.. (2009). Single molecule detection of direct, homologous, DNA/DNA pairing. Proceedings of the National Academy of Sciences. 106(47). 19824–19829. 60 indexed citations
11.
Kleckner, Nancy. (2006). Chiasma formation: chromatin/axis interplay and the role(s) of the synaptonemal complex. Chromosoma. 115(3). 175–194. 240 indexed citations
13.
Bates, David, et al.. (2005). The Escherichia coli baby cell column: a novel cell synchronization method provides new insight into the bacterial cell cycle. Molecular Microbiology. 57(2). 380–391. 58 indexed citations
14.
Dekker, Job, Karsten Rippe, Martijn Dekker, & Nancy Kleckner. (2002). Capturing Chromosome Conformation. Science. 295(5558). 1306–1311. 2622 indexed citations breakdown →
15.
Rita, S. & Nancy Kleckner. (2002). ATR Homolog Mec1 Promotes Fork Progression, Thus Averting Breaks in Replication Slow Zones. Science. 297(5581). 602–606. 361 indexed citations
16.
Hunter, Neil & Nancy Kleckner. (2001). The Single-End Invasion. Cell. 106(1). 59–70. 557 indexed citations breakdown →
17.
Keeney, Scott, Craig N. Giroux, & Nancy Kleckner. (1997). Meiosis-Specific DNA Double-Strand Breaks Are Catalyzed by Spo11, a Member of a Widely Conserved Protein Family. Cell. 88(3). 375–384. 1387 indexed citations breakdown →
18.
Schwacha, Anthony & Nancy Kleckner. (1997). Interhomolog Bias during Meiotic Recombination: Meiotic Functions Promote a Highly Differentiated Interhomolog-Only Pathway. Cell. 90(6). 1123–1135. 378 indexed citations
19.
Kleckner, Nancy, et al.. (1997). The Tn10 Synaptic Complex Can Capture a Target DNA only after Transposon Excision. Cell. 89(2). 205–214. 50 indexed citations
20.
Bolland, Silvia & Nancy Kleckner. (1996). The Three Chemical Steps of Tn10/IS10 Transposition Involve Repeated Utilization of a Single Active Site. Cell. 84(2). 223–233. 86 indexed citations

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.

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