K.J.F. Satchell

5.3k total citations
109 papers, 3.5k citations indexed

About

K.J.F. Satchell is a scholar working on Endocrinology, Molecular Biology and Genetics. According to data from OpenAlex, K.J.F. Satchell has authored 109 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Endocrinology, 56 papers in Molecular Biology and 38 papers in Genetics. Recurrent topics in K.J.F. Satchell's work include Vibrio bacteria research studies (67 papers), Aquaculture disease management and microbiota (23 papers) and Yersinia bacterium, plague, ectoparasites research (21 papers). K.J.F. Satchell is often cited by papers focused on Vibrio bacteria research studies (67 papers), Aquaculture disease management and microbiota (23 papers) and Yersinia bacterium, plague, ectoparasites research (21 papers). K.J.F. Satchell collaborates with scholars based in United States, Canada and France. K.J.F. Satchell's co-authors include Hee Gon Jeong, Christina L. Cordero, Jessica Queen, Hannah E. Gavin, G. Minasov, Brett Geissler, L. Shuvalova, Kateřina Procházková, Marco Biancucci and Dmitri S. Kudryashov and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

K.J.F. Satchell

108 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K.J.F. Satchell United States 37 1.9k 1.6k 1.1k 986 545 109 3.5k
Martin W. Bader United States 19 654 0.3× 2.2k 1.4× 1.1k 1.0× 861 0.9× 244 0.4× 20 3.9k
Petra Dersch Germany 44 1.2k 0.6× 2.6k 1.6× 342 0.3× 2.5k 2.5× 628 1.2× 125 4.9k
Michael G. Jobling United States 30 1.1k 0.6× 1.3k 0.8× 581 0.5× 483 0.5× 418 0.8× 53 2.6k
Tae Takeda Japan 39 3.1k 1.6× 1.1k 0.7× 1.3k 1.1× 867 0.9× 1.1k 2.0× 148 4.6k
Antje Flieger Germany 35 1.3k 0.7× 1.2k 0.8× 778 0.7× 198 0.2× 396 0.7× 108 3.1k
Ina Attrée France 35 1.6k 0.8× 2.0k 1.3× 381 0.3× 1.3k 1.3× 256 0.5× 94 3.7k
Nichollas E. Scott Australia 37 748 0.4× 2.4k 1.5× 422 0.4× 393 0.4× 487 0.9× 132 4.1k
Valérie F. Crepin United Kingdom 32 1.4k 0.7× 1.1k 0.7× 293 0.3× 617 0.6× 799 1.5× 47 2.8k
Jean‐Philippe Nougayrède France 39 1.9k 1.0× 3.1k 2.0× 356 0.3× 1.2k 1.2× 1.1k 2.1× 67 5.7k
Hubert Hilbi Switzerland 48 4.7k 2.4× 3.9k 2.5× 2.6k 2.3× 605 0.6× 706 1.3× 152 7.3k

Countries citing papers authored by K.J.F. Satchell

Since Specialization
Citations

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

Fields of papers citing papers by K.J.F. Satchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.J.F. Satchell. 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 K.J.F. Satchell. The network helps show where K.J.F. Satchell may publish in the future.

Co-authorship network of co-authors of K.J.F. Satchell

This figure shows the co-authorship network connecting the top 25 collaborators of K.J.F. Satchell. A scholar is included among the top collaborators of K.J.F. Satchell 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 K.J.F. Satchell. K.J.F. Satchell 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.
2.
Rosas‐Lemus, Mónica, G. Minasov, J.S. Brunzelle, et al.. (2025). Torsional twist of the SARS ‐ CoV and SARS ‐ CoV ‐2 SUD ‐N and SUD ‐M domains. Protein Science. 34(3). e70050–e70050. 1 indexed citations
3.
Minasov, G., L. Shuvalova, Nicole L. Inniss, et al.. (2024). Control of biofilm formation by an Agrobacterium tumefaciens pterin-binding periplasmic protein conserved among diverse Proteobacteria. Proceedings of the National Academy of Sciences. 121(25). e2319903121–e2319903121. 3 indexed citations
4.
Simons, Lacy M., Ramón Lorenzo-Redondo, Nina L. Reiser, et al.. (2022). Assessment of Virological Contributions to COVID-19 Outcomes in a Longitudinal Cohort of Hospitalized Adults. Open Forum Infectious Diseases. 9(3). ofac027–ofac027. 9 indexed citations
5.
Pincus, Nathan B., Mónica Rosas‐Lemus, Samuel W. M. Gatesy, et al.. (2022). Functional and Structural Characterization of OXA-935, a Novel OXA-10-Family β-Lactamase from Pseudomonas aeruginosa. Antimicrobial Agents and Chemotherapy. 66(10). e0098522–e0098522. 9 indexed citations
6.
Qiang, Wenan, et al.. (2022). Proteolytic pan-RAS Cleavage Leads to Tumor Regression in Patient-derived Pancreatic Cancer Xenografts. Molecular Cancer Therapeutics. 21(5). 810–820. 5 indexed citations
7.
Cherny, Kathryn E., Young Ah Goo, Alan R. Hauser, et al.. (2022). Identification of Clostridium innocuum hypothetical protein that is cross-reactive with C. difficile anti-toxin antibodies. Anaerobe. 75. 102555–102555. 9 indexed citations
8.
Minasov, G., Nicole L. Inniss, L. Shuvalova, W.F. Anderson, & K.J.F. Satchell. (2022). Structure of the Monkeypox virus profilin-like protein A42R reveals potential functional differences from cellular profilins. Acta Crystallographica Section F Structural Biology Communications. 78(10). 371–377. 31 indexed citations
9.
Minasov, G., Mónica Rosas‐Lemus, L. Shuvalova, et al.. (2021). Mn 2+ coordinates Cap-0-RNA to align substrates for efficient 2′- O -methyl transfer by SARS-CoV-2 nsp16. Science Signaling. 14(689). 20 indexed citations
10.
Blum, Travis R., Michael S. Packer, Xiaozhe Xiong, et al.. (2021). Phage-assisted evolution of botulinum neurotoxin proteases with reprogrammed specificity. Science. 371(6531). 803–810. 49 indexed citations
11.
Wilamowski, Mateusz, D.A. Sherrell, G. Minasov, et al.. (2021). 2′-O methylation of RNA cap in SARS-CoV-2 captured by serial crystallography. Proceedings of the National Academy of Sciences. 118(21). 52 indexed citations
12.
Rosas‐Lemus, Mónica, G. Minasov, L. Shuvalova, et al.. (2020). High-resolution structures of the SARS-CoV-2 2′- O -methyltransferase reveal strategies for structure-based inhibitor design. Science Signaling. 13(651). 140 indexed citations
13.
14.
Loftis, Alexander R., et al.. (2020). Anthrax Protective Antigen Retargeted with Single‐Chain Variable Fragments Delivers Enzymes to Pancreatic Cancer Cells. ChemBioChem. 21(19). 2772–2776. 14 indexed citations
15.
Beilhartz, Greg L., et al.. (2020). An engineered chimeric toxin that cleaves activated mutant and wild-type RAS inhibits tumor growth. Proceedings of the National Academy of Sciences. 117(29). 16938–16948. 28 indexed citations
16.
17.
Kwon, Keehwan, et al.. (2019). Direct Cloning Method for Expression of Recombinant Proteins with an Inositol Hexakisphosphate Inducible Self-Cleaving Tag. Methods in molecular biology. 2091. 163–179. 1 indexed citations
18.
19.
Jeong, Hee Gon, et al.. (2014). Vibrio vulnificus Biotype 3 Multifunctional Autoprocessing RTX Toxin Is an Adenylate Cyclase Toxin Essential for Virulence in Mice. Infection and Immunity. 82(5). 2148–2157. 43 indexed citations
20.
Cordero, Christina L., et al.. (2004). Identification of a domain within the multifunctional Vibrio cholerae RTX toxin that covalently cross-links actin. Proceedings of the National Academy of Sciences. 101(26). 9798–9803. 106 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Martin W. Bader Breakdown of academic impact, for papers by Petra Dersch Breakdown of academic impact, for papers by Michael G. Jobling Breakdown of academic impact, for papers by Tae Takeda Breakdown of academic impact, for papers by Antje Flieger Breakdown of academic impact, for papers by Ina Attrée Breakdown of academic impact, for papers by Nichollas E. Scott Breakdown of academic impact, for papers by Valérie F. Crepin Breakdown of academic impact, for papers by Jean‐Philippe Nougayrède Breakdown of academic impact, for papers by Hubert Hilbi
Rankless by CCL
2026