Patricia J. Kiley

8.2k total citations
91 papers, 6.3k citations indexed

About

Patricia J. Kiley is a scholar working on Molecular Biology, Genetics and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Patricia J. Kiley has authored 91 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 38 papers in Genetics and 33 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Patricia J. Kiley's work include Bacterial Genetics and Biotechnology (33 papers), Metalloenzymes and iron-sulfur proteins (26 papers) and Microbial Fuel Cells and Bioremediation (17 papers). Patricia J. Kiley is often cited by papers focused on Bacterial Genetics and Biotechnology (33 papers), Metalloenzymes and iron-sulfur proteins (26 papers) and Microbial Fuel Cells and Bioremediation (17 papers). Patricia J. Kiley collaborates with scholars based in United States, United Kingdom and Russia. Patricia J. Kiley's co-authors include Helmut Beinert, Erin L. Mettert, Samuel Kaplan, Jennifer L. Giel, Christopher Schwartz, Beth Lazazzera, Eckard Münck, Frederick R. Blattner, Donna M. Bates and Codrina V. Popescu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Patricia J. Kiley

90 papers receiving 6.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patricia J. Kiley United States 49 3.8k 2.0k 1.7k 994 890 91 6.3k
R. Gary Sawers Germany 52 4.8k 1.3× 2.8k 1.4× 1.7k 1.0× 1.1k 1.1× 813 0.9× 206 9.3k
Frédéric Barras France 52 4.2k 1.1× 1.9k 1.0× 1.1k 0.7× 566 0.6× 702 0.8× 134 8.4k
Frank Sargent United Kingdom 48 4.0k 1.1× 2.1k 1.1× 2.6k 1.5× 583 0.6× 2.0k 2.2× 108 6.9k
Gottfried Unden Germany 48 4.4k 1.2× 651 0.3× 2.6k 1.5× 694 0.7× 837 0.9× 152 7.2k
Ben C. Berks United Kingdom 56 6.1k 1.6× 1.4k 0.7× 3.9k 2.3× 903 0.9× 3.5k 3.9× 119 9.8k
Fevzi Daldal United States 44 4.5k 1.2× 1.0k 0.5× 383 0.2× 665 0.7× 711 0.8× 147 6.1k
Jeffrey A. Cole United Kingdom 48 2.9k 0.8× 535 0.3× 1.5k 0.9× 660 0.7× 956 1.1× 139 5.9k
John R. Guest United Kingdom 54 4.9k 1.3× 679 0.3× 2.2k 1.3× 507 0.5× 652 0.7× 142 8.0k
Béatrice Py France 31 2.3k 0.6× 1.0k 0.5× 1.1k 0.7× 283 0.3× 516 0.6× 53 3.7k
Vincent Méjean France 39 2.6k 0.7× 740 0.4× 1.2k 0.7× 422 0.4× 913 1.0× 98 4.1k

Countries citing papers authored by Patricia J. Kiley

Since Specialization
Citations

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

Fields of papers citing papers by Patricia J. Kiley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patricia J. Kiley. 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 Patricia J. Kiley. The network helps show where Patricia J. Kiley may publish in the future.

Co-authorship network of co-authors of Patricia J. Kiley

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia J. Kiley. A scholar is included among the top collaborators of Patricia J. Kiley 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 Patricia J. Kiley. Patricia J. Kiley 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.
Whelan, Elizabeth M., Kevin S. Myers, Amy B. Banta, et al.. (2025). Orthogonal chemical genomics approaches reveal genomic targets for increasing anaerobic chemical tolerance in Zymomonas mobilis. mSystems. 11(1). e0100125–e0100125.
2.
Mettert, Erin L. & Patricia J. Kiley. (2024). Fe-S cluster homeostasis and beyond: The multifaceted roles of IscR. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1871(6). 119749–119749. 6 indexed citations
3.
Banerjee, Rajdeep, et al.. (2024). Iron–sulfur Rrf2 transcription factors: an emerging versatile platform for sensing stress. Current Opinion in Microbiology. 82. 102543–102543. 2 indexed citations
4.
Ong, Wai Kit, et al.. (2020). Model-driven analysis of mutant fitness experiments improves genome-scale metabolic models of Zymomonas mobilis ZM4. PLoS Computational Biology. 16(8). e1008137–e1008137. 12 indexed citations
5.
Carey, Jeffrey N., et al.. (2019). Phage integration alters the respiratory strategy of its host. eLife. 8. 26 indexed citations
6.
7.
Mettert, Erin L., et al.. (2019). Iron availability and oxygen tension regulate the Yersinia Ysc type III secretion system to enable disseminated infection. PLoS Pathogens. 15(12). e1008001–e1008001. 9 indexed citations
8.
Mettert, Erin L., et al.. (2019). Identification and Unusual Properties of the Master Regulator FNR in the Extreme Acidophile Acidithiobacillus ferrooxidans. Frontiers in Microbiology. 10. 1642–1642. 10 indexed citations
9.
Mettert, Erin L. & Patricia J. Kiley. (2017). Reassessing the Structure and Function Relationship of the O 2 Sensing Transcription Factor FNR. Antioxidants and Redox Signaling. 29(18). 1830–1840. 38 indexed citations
10.
Kiley, Patricia J., et al.. (2015). Design principles of a conditional futile cycle exploited for regulation. Molecular BioSystems. 11(7). 1841–1849. 7 indexed citations
11.
Mettert, Erin L. & Patricia J. Kiley. (2015). How Is Fe-S Cluster Formation Regulated?. Annual Review of Microbiology. 69(1). 505–526. 67 indexed citations
12.
Myers, Kevin S., Dan Park, Nicole A. Beauchene, & Patricia J. Kiley. (2015). Defining bacterial regulons using ChIP-seq. Methods. 86. 80–88. 27 indexed citations
13.
Mettert, Erin L. & Patricia J. Kiley. (2014). Fe–S proteins that regulate gene expression. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1853(6). 1284–1293. 100 indexed citations
14.
Haft, Rembrandt J. F., David H. Keating, Michael S. Schwalbach, et al.. (2014). Correcting direct effects of ethanol on translation and transcription machinery confers ethanol tolerance in bacteria. Proceedings of the National Academy of Sciences. 111(25). E2576–85. 116 indexed citations
15.
Myers, Kevin S., Huihuang Yan, Irene M. Ong, et al.. (2013). Genome-scale Analysis of Escherichia coli FNR Reveals Complex Features of Transcription Factor Binding. PLoS Genetics. 9(6). e1003565–e1003565. 147 indexed citations
16.
Mettert, Erin L. & Patricia J. Kiley. (2005). ClpXP-dependent Proteolysis of FNR upon Loss of its O2-sensing [4Fe–4S] Cluster. Journal of Molecular Biology. 354(2). 220–232. 58 indexed citations
17.
Kiley, Patricia J., et al.. (2002). Characterization of activating region 3 from Escherichia coli FNR. Journal of Molecular Biology. 315(3). 275–283. 23 indexed citations
18.
Schwartz, Christopher, Jennifer L. Giel, Thomas Patschkowski, et al.. (2001). IscR, an Fe-S cluster-containing transcription factor, represses expression of Escherichia coli genes encoding Fe-S cluster assembly proteins. Proceedings of the National Academy of Sciences. 98(26). 14895–14900. 340 indexed citations
19.
Lazazzera, Beth, et al.. (1996). DNA Binding and Dimerization of the Fe−S-containing FNR Protein from Escherichia coli Are Regulated by Oxygen. Journal of Biological Chemistry. 271(5). 2762–2768. 260 indexed citations
20.
Kiley, Patricia J. & Samuel Kaplan. (1988). Molecular genetics of photosynthetic membrane biosynthesis in Rhodobacter sphaeroides.. Microbiological Reviews. 52(1). 50–69. 58 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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