John I. Robinson

838 total citations
22 papers, 644 citations indexed

About

John I. Robinson is a scholar working on Nuclear and High Energy Physics, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, John I. Robinson has authored 22 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nuclear and High Energy Physics, 7 papers in Biomedical Engineering and 6 papers in Molecular Biology. Recurrent topics in John I. Robinson's work include Magnetic confinement fusion research (7 papers), Superconducting Materials and Applications (7 papers) and Fusion materials and technologies (3 papers). John I. Robinson is often cited by papers focused on Magnetic confinement fusion research (7 papers), Superconducting Materials and Applications (7 papers) and Fusion materials and technologies (3 papers). John I. Robinson collaborates with scholars based in United States, Switzerland and Morocco. John I. Robinson's co-authors include K.H. Burrell, K. Tritz, Robert Ashley, C. M. Greenfield, G. R. McKee, R. J. Fonck, R. Durst, M. Jakubowski, Jeffrey P. Henderson and Stephen M. Beverley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

John I. Robinson

18 papers receiving 629 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John I. Robinson United States 10 285 143 131 126 107 22 644
W. Lee South Korea 20 329 1.2× 614 4.3× 78 0.6× 219 1.7× 179 1.7× 37 1.4k
Y. Yoshimura Japan 18 555 1.9× 180 1.3× 151 1.2× 156 1.2× 35 0.3× 102 1.2k
Takaya Hayashi Japan 19 807 2.8× 281 2.0× 67 0.5× 903 7.2× 268 2.5× 59 1.8k
A. Nagy United States 22 576 2.0× 300 2.1× 488 3.7× 100 0.8× 207 1.9× 95 1.4k
John L. Johnson United States 14 267 0.9× 275 1.9× 13 0.1× 226 1.8× 20 0.2× 31 846
Robert Gormley United States 13 90 0.3× 74 0.5× 19 0.1× 59 0.5× 53 0.5× 19 623
Yukio Shimizu Japan 21 27 0.1× 149 1.0× 120 0.9× 124 1.0× 234 2.2× 143 1.5k
Satoshi Yamada Japan 16 109 0.4× 151 1.1× 94 0.7× 167 1.3× 28 0.3× 51 817
S. Zhang China 12 176 0.6× 39 0.3× 105 0.8× 57 0.5× 6 0.1× 44 624
Hongbo Zhang China 21 82 0.3× 344 2.4× 17 0.1× 123 1.0× 588 5.5× 88 1.3k

Countries citing papers authored by John I. Robinson

Since Specialization
Citations

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

Fields of papers citing papers by John I. Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John I. Robinson. 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 John I. Robinson. The network helps show where John I. Robinson may publish in the future.

Co-authorship network of co-authors of John I. Robinson

This figure shows the co-authorship network connecting the top 25 collaborators of John I. Robinson. A scholar is included among the top collaborators of John I. Robinson 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 John I. Robinson. John I. Robinson 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.
Olsen, Margaret A., Hung D. Tran, John I. Robinson, et al.. (2025). Small-molecule correlates of infection precede infection diagnosis in breast implant reconstruction patients. Journal of Clinical Investigation. 136(4).
2.
Robinson, John I., Laura R. Marks, Jane A. O’Halloran, et al.. (2024). Development of a metabolome-based respiratory infection prognostic during COVID-19 arrival. mBio. 16(1). e0334323–e0334323.
3.
Schwartz, Drew J., et al.. (2023). Everything but the Kitchen Sink: An Analysis of Bacterial and Chemical Contaminants Found in Syringe Residue From People Who Inject Drugs. Open Forum Infectious Diseases. 11(1). ofad628–ofad628. 7 indexed citations
4.
Robinson, John I., et al.. (2023). Uropathogenic Escherichia coli wield enterobactin-derived catabolites as siderophores. Journal of Biological Chemistry. 300(1). 105554–105554. 2 indexed citations
5.
Robinson, John I., William H. Weir, Jan R. Crowley, et al.. (2019). Metabolomic networks connect host-microbiome processes to human Clostridioides difficile infections. Journal of Clinical Investigation. 129(9). 3792–3806. 62 indexed citations
6.
Buchko, Garry W., Jan Abendroth, John I. Robinson, et al.. (2019). Structural diversity in the Mycobacteria DUF3349 superfamily. Protein Science. 29(3). 670–685.
7.
Westfall, Corey S., Ana L. Flores‐Mireles, John I. Robinson, et al.. (2019). The Widely Used Antimicrobial Triclosan Induces High Levels of Antibiotic Tolerance In Vitro and Reduces Antibiotic Efficacy up to 100-Fold In Vivo. Antimicrobial Agents and Chemotherapy. 63(5). 68 indexed citations
8.
Kuhlmann, F, John I. Robinson, Gregory R. Bluemling, et al.. (2017). Antiviral screening identifies adenosine analogs targeting the endogenous dsRNA Leishmania RNA virus 1 (LRV1) pathogenicity factor. Proceedings of the National Academy of Sciences. 114(5). E811–E819. 36 indexed citations
9.
Zangger, Haroun, Catherine Ronet, Chantal Desponds, et al.. (2013). Detection of Leishmania RNA Virus in Leishmania Parasites. PLoS neglected tropical diseases. 7(1). e2006–e2006. 85 indexed citations
10.
Smith, Eric R., Darren W. Begley, Amy Raymond, et al.. (2011). The Protein Maker: an automated system for high-throughput parallel purification. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 67(9). 1015–1021. 16 indexed citations
11.
Abendroth, Jan, A.S. Gardberg, John I. Robinson, et al.. (2011). SAD phasing using iodide ions in a high-throughput structural genomics environment. Journal of Structural and Functional Genomics. 12(2). 83–95. 62 indexed citations
12.
13.
Burrell, K.H., P. Gohil, R. J. Groebner, et al.. (2004). Improved charge-coupled device detectors for high-speed, charge exchange spectroscopy studies on the DIII-D tokamak. Review of Scientific Instruments. 75(10). 3455–3457. 58 indexed citations
14.
Anderson, P.M., et al.. (2003). Design, fabrication, installation and testing of in-vessel control coils for DIII-D. Fusion Engineering and Design. 66-68. 791–795. 14 indexed citations
15.
Combs, S. K., L. R. Baylor, C. R. Foust, et al.. (2003). New pellet injection schemes on DIII-D. 8. 202–205. 9 indexed citations
16.
Robinson, John I. & J. T. Scoville. (2002). Development of a new error field correction coil (C-coil) for DIII-D. 1. 829–833. 1 indexed citations
17.
Anderson, P.M., L. R. Baylor, S. K. Combs, et al.. (1999). New Pellet Injection Schemes on DIII-D. University of North Texas Digital Library (University of North Texas). 5 indexed citations
18.
McKee, G. R., Robert Ashley, R. Durst, et al.. (1999). The beam emission spectroscopy diagnostic on the DIII-D tokamak. Review of Scientific Instruments. 70(1). 913–916. 168 indexed citations
19.
Watkins, J.G., John Hunter, M. Ulrickson, et al.. (1997). Fast reciprocating Langmuir probe for the DIII-D divertor. Review of Scientific Instruments. 68(1). 373–376. 37 indexed citations
20.
Gillespie, J. H., John I. Robinson, & James A. Baker. (1952). Dual Infection of Dogs with Distemper Virus and Virus of Infectious Canine Hepatitis.. Experimental Biology and Medicine. 81(2). 461–463. 5 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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