Nina V. Fedoroff

16.1k total citations · 4 hit papers
139 papers, 11.5k citations indexed

About

Nina V. Fedoroff is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Nina V. Fedoroff has authored 139 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Plant Science, 83 papers in Molecular Biology and 15 papers in Genetics. Recurrent topics in Nina V. Fedoroff's work include Chromosomal and Genetic Variations (54 papers), Plant tissue culture and regeneration (25 papers) and Plant Molecular Biology Research (24 papers). Nina V. Fedoroff is often cited by papers focused on Chromosomal and Genetic Variations (54 papers), Plant tissue culture and regeneration (25 papers) and Plant Molecular Biology Research (24 papers). Nina V. Fedoroff collaborates with scholars based in United States, Saudi Arabia and Germany. Nina V. Fedoroff's co-authors include Susan R. Wessler, Mavis Shure, Cheng Lu, Liang Song, Patrick Masson, Jo Ann Banks, Amos Maritan, Marek Cieplak, Jayanth R. Banavar and Donald D. Brown and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Nina V. Fedoroff

135 papers receiving 11.0k citations

Hit Papers

Molecular identification and isolation of the Waxy locus ... 1983 2026 1997 2011 1983 2010 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina V. Fedoroff United States 55 8.1k 7.0k 863 449 382 139 11.5k
Jingchu Luo China 31 7.5k 0.9× 6.8k 1.0× 913 1.1× 205 0.5× 250 0.7× 74 10.4k
Seung Y. Rhee United States 44 6.6k 0.8× 7.9k 1.1× 868 1.0× 335 0.7× 208 0.5× 101 11.7k
David W. Galbraith United States 52 9.5k 1.2× 8.0k 1.1× 924 1.1× 429 1.0× 509 1.3× 172 12.6k
Steven J. Rothstein Canada 69 10.6k 1.3× 7.3k 1.0× 1.1k 1.3× 523 1.2× 587 1.5× 164 14.0k
Shin‐Han Shiu United States 57 9.1k 1.1× 7.6k 1.1× 997 1.2× 390 0.9× 188 0.5× 114 12.2k
Ming Chen China 67 8.9k 1.1× 9.3k 1.3× 926 1.1× 318 0.7× 228 0.6× 569 17.3k
Charles E. Grant United States 13 5.7k 0.7× 10.2k 1.4× 1.6k 1.8× 379 0.8× 234 0.6× 19 13.8k
R. B. Flavell United Kingdom 56 6.8k 0.8× 4.6k 0.7× 1.1k 1.3× 226 0.5× 731 1.9× 163 8.6k
Gloria M. Coruzzi United States 68 11.6k 1.4× 6.9k 1.0× 572 0.7× 177 0.4× 260 0.7× 154 14.7k
Nicholas J. Provart Canada 43 6.8k 0.8× 6.3k 0.9× 736 0.9× 305 0.7× 191 0.5× 115 9.3k

Countries citing papers authored by Nina V. Fedoroff

Since Specialization
Citations

This map shows the geographic impact of Nina V. Fedoroff'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 Nina V. Fedoroff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina V. Fedoroff more than expected).

Fields of papers citing papers by Nina V. Fedoroff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina V. Fedoroff. 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 Nina V. Fedoroff. The network helps show where Nina V. Fedoroff may publish in the future.

Co-authorship network of co-authors of Nina V. Fedoroff

This figure shows the co-authorship network connecting the top 25 collaborators of Nina V. Fedoroff. A scholar is included among the top collaborators of Nina V. Fedoroff 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 Nina V. Fedoroff. Nina V. Fedoroff 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.
Chen, Ke, Vanessa Melino, Muppala P. Reddy, et al.. (2024). SOS1 tonoplast neo-localization and the RGG protein SALTY are important in the extreme salinity tolerance of Salicornia bigelovii. Nature Communications. 15(1). 4279–4279. 23 indexed citations
2.
Ristaino, Jean B., Pamela K. Anderson, Daniel P. Bebber, et al.. (2021). The persistent threat of emerging plant disease pandemics to global food security. Proceedings of the National Academy of Sciences. 118(23). 446 indexed citations breakdown →
3.
Bettahalli, N.M. Srivatsa, et al.. (2018). Vacuum membrane distillation of liquid desiccants utilizing hollow fiber membranes. Separation and Purification Technology. 199. 57–63. 45 indexed citations
4.
Kurmanbayeva, Assylay, Sudhakar Srivastava, Aigerim Soltabayeva, et al.. (2017). Higher Novel L-Cys Degradation Activity Results in Lower Organic-S and Biomass in Sarcocornia than the Related Saltwort, Salicornia. PLANT PHYSIOLOGY. 175(1). 272–289. 8 indexed citations
5.
Kershen, Drew L. & Nina V. Fedoroff. (2014). Agricultural Biotechnology-An Opportunity to Feed a World of Ten Billion. 118(4). 1 indexed citations
6.
Gao, Xin, et al.. (2014). Quick Mining of Isomorphic Exact Large Patterns from Large Graphs. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 517–524. 10 indexed citations
7.
Fedoroff, Nina V.. (2013). Plant transposons and genome dynamics in evolution. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 10 indexed citations
8.
Fedoroff, Nina V.. (2013). Molecular Genetics and Epigenetics of CACTA Elements. Methods in molecular biology. 1057. 177–192. 11 indexed citations
9.
Fedoroff, Nina V., David S. Battisti, Roger N. Beachy, et al.. (2010). Radically Rethinking Agriculture for the 21st Century. Science. 327(5967). 833–834. 531 indexed citations breakdown →
10.
Dong, Zhicheng, et al.. (2008). The RNA-binding proteins HYL1 and SE promote accurate in vitro processing of pri-miRNA by DCL1. Proceedings of the National Academy of Sciences. 105(29). 9970–9975. 335 indexed citations
11.
Wang, Shiyu, Sarah M. Assmann, & Nina V. Fedoroff. (2008). Characterization of the Arabidopsis Heterotrimeric G Protein. Journal of Biological Chemistry. 283(20). 13913–13922. 43 indexed citations
12.
Fedoroff, Nina V.. (2006). Redox Regulatory Mechanisms in Cellular Stress Responses. Annals of Botany. 98(2). 289–300. 108 indexed citations
13.
Song, Liang, et al.. (2004). The Arabidopsis double-stranded RNA-binding protein HYL1 plays a role in microRNA-mediated gene regulation. Proceedings of the National Academy of Sciences. 101(4). 1093–1098. 409 indexed citations
14.
Fedoroff, Nina V.. (2002). RNA-binding proteins in plants: the tip of an iceberg?. Current Opinion in Plant Biology. 5(5). 452–459. 104 indexed citations
15.
Mahalingam, Ramamurthy & Nina V. Fedoroff. (2001). Screening insertion libraries for mutations in many genes simultaneously using DNA microarrays. Proceedings of the National Academy of Sciences. 98(13). 7420–7425. 17 indexed citations
16.
Fedoroff, Nina V.. (1996). Epigenetic Regulation of the Maize Spm Transposable Element. Cold Spring Harbor Monograph Archive. 32. 575–592. 15 indexed citations
17.
Smith, David L. & Nina V. Fedoroff. (1995). LRP1, a Gene Expressed in Lateral and Adventitious Root Primordia of Arabidopsis. The Plant Cell. 7(6). 735–735. 13 indexed citations
18.
Saedler, Heinz, Peter Starlinger, Nina V. Fedoroff, & David Botstein. (1992). Twenty-five years of transposable element research in Köln.. 243–263.
19.
Fedoroff, Nina V.. (1989). The heritable activation of cryptic Suppressor-mutator elements by an active element.. Genetics. 121(3). 591–608. 35 indexed citations
20.
Fedoroff, Nina V.. (1986). The Recombinant DNA Controversy: A Contemporary Cautionary Tale. 7(1). 3.

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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