Keith Keller

13.8k total citations · 2 hit papers
30 papers, 10.5k citations indexed

About

Keith Keller is a scholar working on Molecular Biology, Ecology and Nephrology. According to data from OpenAlex, Keith Keller has authored 30 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Ecology and 6 papers in Nephrology. Recurrent topics in Keith Keller's work include Microbial Community Ecology and Physiology (8 papers), Renal Diseases and Glomerulopathies (6 papers) and Genomics and Phylogenetic Studies (6 papers). Keith Keller is often cited by papers focused on Microbial Community Ecology and Physiology (8 papers), Renal Diseases and Glomerulopathies (6 papers) and Genomics and Phylogenetic Studies (6 papers). Keith Keller collaborates with scholars based in United States, Denmark and Japan. Keith Keller's co-authors include Gary L. Andersen, Todd Z. DeSantis, Eoin Brodie, Philip Hugenholtz, Thomas Huber, N. Larsen, Pengwei Hu, Daniel Dalevi, Mark Rojas and N. Agersnap Larsen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Keith Keller

28 papers receiving 10.3k citations

Hit Papers

Greengenes, a Chimera-Checked 16S rRNA Gene Database and ... 2006 2026 2012 2019 2006 2006 2.5k 5.0k 7.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith Keller United States 18 5.5k 3.3k 1.0k 954 953 30 10.5k
N. Larsen Denmark 14 6.7k 1.2× 4.2k 1.3× 1.3k 1.3× 1.2k 1.3× 1.1k 1.2× 22 12.2k
Daniel Dalevi United States 15 5.1k 0.9× 3.0k 0.9× 863 0.9× 969 1.0× 897 0.9× 27 9.4k
Thomas Huber Australia 46 8.9k 1.6× 3.9k 1.2× 1.1k 1.1× 1.1k 1.2× 997 1.0× 191 17.1k
Sarah K. Highlander United States 31 5.7k 1.1× 3.0k 0.9× 980 1.0× 1.2k 1.2× 1.0k 1.1× 71 11.7k
Niall Gormley United Kingdom 22 3.7k 0.7× 2.4k 0.7× 783 0.8× 1000 1.0× 470 0.5× 36 8.3k
Mark Rojas United States 11 4.6k 0.8× 2.8k 0.8× 822 0.8× 870 0.9× 865 0.9× 15 8.9k
Jason Betley United Kingdom 12 3.6k 0.7× 2.5k 0.7× 804 0.8× 982 1.0× 587 0.6× 16 7.9k
Tanja Magoč United States 5 5.7k 1.0× 3.8k 1.1× 1.2k 1.2× 2.4k 2.5× 1.0k 1.1× 7 12.1k
Barbara A. Methé United States 39 5.0k 0.9× 2.4k 0.7× 725 0.7× 726 0.8× 706 0.7× 98 9.8k
David Berry Austria 49 5.1k 0.9× 2.5k 0.7× 1.3k 1.2× 791 0.8× 789 0.8× 162 10.3k

Countries citing papers authored by Keith Keller

Since Specialization
Citations

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

Fields of papers citing papers by Keith Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Keller

This figure shows the co-authorship network connecting the top 25 collaborators of Keith Keller. A scholar is included among the top collaborators of Keith Keller 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 Keith Keller. Keith Keller 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.
Jefferson, J. Ashley, Karin Chen, Sangeeta Hingorani, et al.. (2025). Genetic and Iatrogenic Defects in Peripheral Tolerance Associated with Anti-Nephrin Antibody-Associated Minimal Change Disease. PubMed. 5(1). 74–83.
2.
Keller, Keith, Amha Atakilit, Mary Taglienti, et al.. (2025). The integrin repertoire drives YAP-dependent epithelial:stromal interactions during injury of the kidney glomerulus. Nature Communications. 16(1). 3322–3322.
3.
Fujita, Yoko, Daisuke Ichikawa, Yugo Shibagaki, et al.. (2024). Clinical Characteristics of Nephrin Autoantibody-Positive Minimal Change Disease in Older Adults. Kidney International Reports. 9(8). 2563–2566. 1 indexed citations
4.
Bressendorff, Iain, et al.. (2024). Antinephrin-Associated Primary Focal Segmental Glomerulosclerosis Successfully Treated With Plasmapheresis. Kidney International Reports. 9(9). 2829–2831. 3 indexed citations
5.
Marshall, Jamie L., Teia Noel, Qingbo S. Wang, et al.. (2022). High-resolution Slide-seqV2 spatial transcriptomics enables discovery of disease-specific cell neighborhoods and pathways. iScience. 25(4). 104097–104097. 47 indexed citations
6.
Jhaveri, Kenar D., Vanesa Bijol, Rimda Wanchoo, et al.. (2021). COVID-19 mRNA Vaccine-Associated Autoimmunity Presenting as Minimal Change Disease and Membranous Nephropathy. Journal of the American Society of Nephrology. 32(10S). 94–94. 1 indexed citations
7.
Sidhom, Eriene-Heidi, Choah Kim, Maria Kost‐Alimova, et al.. (2021). Targeting a Braf/Mapk pathway rescues podocyte lipid peroxidation in CoQ-deficiency kidney disease. Journal of Clinical Investigation. 131(5). 30 indexed citations
8.
Chivian, Dylan, Paramvir Dehal, Keith Keller, & Adam P. Arkin. (2012). metaMicrobesOnline: phylogenomic analysis of microbial communities. Nucleic Acids Research. 41(D1). D648–D654. 14 indexed citations
9.
DeSantis, Todd Z., Keith Keller, Ulaş Karaöz, et al.. (2011). Simrank: Rapid and sensitive general-purpose k-mer search tool. BMC Ecology. 11(1). 11–11. 22 indexed citations
11.
DeSantis, Todd Z., Philip Hugenholtz, N. Larsen, et al.. (2006). Greengenes: Chimera-checked 16S rRNA gene database and workbench compatible in ARB. University of North Texas Digital Library (University of North Texas). 10 indexed citations
12.
DeSantis, Todd Z., Philip Hugenholtz, N. Larsen, et al.. (2006). Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB. Applied and Environmental Microbiology. 72(7). 5069–5072. 8568 indexed citations breakdown →
13.
DeSantis, Todd Z., Philip Hugenholtz, Keith Keller, et al.. (2006). NAST: a multiple sequence alignment server for comparative analysis of 16S rRNA genes. Nucleic Acids Research. 34(Web Server). W394–W399. 880 indexed citations breakdown →
14.
Alm, Eric J., Katherine Huang, Morgan N. Price, et al.. (2005). The MicrobesOnline Web site for comparative genomics. Genome Research. 15(7). 1015–1022. 169 indexed citations
15.
Yodlowski, Marilyn L., et al.. (1990). Antibody to interleukin 1 inhibits the cartilage degradative and thymocyte proliferative actions of rheumatoid synovial culture medium.. PubMed. 17(12). 1600–7. 11 indexed citations
16.
Smith, C M, et al.. (1987). Viscoelasticity of packed erythrocyte suspensions subjected to low amplitude oscillatory deformation. Biophysical Journal. 52(3). 357–365. 13 indexed citations
17.
Dworkin, Martin, et al.. (1983). Experimental observations consistent with a surface tension model of gliding motility of Myxococcus xanthus. Journal of Bacteriology. 155(3). 1367–1371. 34 indexed citations
18.
Rosenberg, Eugene, Keith Keller, & Martin Dworkin. (1977). Cell density-dependent growth of Myxococcus xanthus on casein. Journal of Bacteriology. 129(2). 770–777. 153 indexed citations
19.
Aris, R. & Keith Keller. (1972). Asymmetries Generated by Diffusion and Reaction, and Their Bearing on Active Transport Through Membranes. Proceedings of the National Academy of Sciences. 69(4). 777–779. 8 indexed citations
20.
Keller, Keith & Sheldon K. Friedlander. (1966). The Steady-State Transport of Oxygen through Hemoglobin Solutions. The Journal of General Physiology. 49(4). 663–679. 52 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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