James S. Gainer

3.0k total citations
41 papers, 879 citations indexed

About

James S. Gainer is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Surgery. According to data from OpenAlex, James S. Gainer has authored 41 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Nuclear and High Energy Physics, 7 papers in Astronomy and Astrophysics and 4 papers in Surgery. Recurrent topics in James S. Gainer's work include Particle physics theoretical and experimental studies (31 papers), Dark Matter and Cosmic Phenomena (9 papers) and Quantum Chromodynamics and Particle Interactions (9 papers). James S. Gainer is often cited by papers focused on Particle physics theoretical and experimental studies (31 papers), Dark Matter and Cosmic Phenomena (9 papers) and Quantum Chromodynamics and Particle Interactions (9 papers). James S. Gainer collaborates with scholars based in United States, Switzerland and Japan. James S. Gainer's co-authors include Thomas G. Rizzo, Carola F. Berger, JoAnne L Hewett, JoAnne L. Hewett, K. Matchev, Myeonghun Park, Ian Low, Howard Baer, Xerxes Tata and V. Barger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Hypertension.

In The Last Decade

James S. Gainer

37 papers receiving 861 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James S. Gainer United States 17 595 222 162 104 102 41 879
Daisuke Yoshida Japan 14 238 0.4× 270 1.2× 207 1.3× 321 3.1× 179 1.8× 42 1.1k
Junichi Yokoyama Japan 15 640 1.1× 796 3.6× 114 0.7× 36 0.3× 286 2.8× 34 1.3k
Héctor Figueroa Costa Rica 12 132 0.2× 63 0.3× 106 0.7× 18 0.2× 55 0.5× 22 816
Guillermo A. Silva Argentina 16 330 0.6× 188 0.8× 38 0.2× 26 0.3× 18 0.2× 43 651
Takamitsu Tanaka Japan 22 122 0.2× 520 2.3× 161 1.0× 50 0.5× 21 0.2× 68 1.2k
A. Rossi France 20 273 0.5× 813 3.7× 195 1.2× 166 1.6× 20 0.2× 121 1.3k
Craig Lawrie United States 15 341 0.6× 147 0.7× 26 0.2× 24 0.2× 14 0.1× 37 548
Min Kim South Korea 19 62 0.1× 111 0.5× 495 3.1× 52 0.5× 89 0.9× 32 1.0k
Gavin P. Lamb United Kingdom 14 202 0.3× 562 2.5× 38 0.2× 80 0.8× 15 0.1× 34 963
Jonathan Frazer United Kingdom 12 199 0.3× 233 1.0× 282 1.7× 40 0.4× 8 0.1× 26 758

Countries citing papers authored by James S. Gainer

Since Specialization
Citations

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

Fields of papers citing papers by James S. Gainer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James S. Gainer. 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 James S. Gainer. The network helps show where James S. Gainer may publish in the future.

Co-authorship network of co-authors of James S. Gainer

This figure shows the co-authorship network connecting the top 25 collaborators of James S. Gainer. A scholar is included among the top collaborators of James S. Gainer 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 James S. Gainer. James S. Gainer 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.
Gainer, James S., et al.. (2025). Patients Undergoing Manipulation under Anesthesia following Primary Total Knee Arthroplasty: Are Their Patient-Reported Outcome Measures Inferior?. The Journal of Knee Surgery. 38(8). 407–414. 1 indexed citations
2.
3.
Gainer, James S., et al.. (2024). Reconstruction of the Medial Malleolus With Iliac Crest Autograft After Traumatic Loss. JBJS Case Connector. 14(2).
4.
5.
Gainer, James S.. (2022). Adding pseudo-observables to the four-lepton experimentalist’s toolbox. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
6.
Gainer, James S.. (2021). Exploring theory space with Monte Carlo reweighting. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 6 indexed citations
7.
Gainer, James S., et al.. (2021). Meta-Analysis: Functional Outcome of ORIF Versus Primary Subtalar Arthrodesis of Sanders Type II and Type III Calcaneal Fractures. The Journal of Foot & Ankle Surgery. 60(5). 1038–1043. 3 indexed citations
8.
Gainer, James S., et al.. (2019). Enhancing the discovery prospects for SUSY-like decays with a forgotten kinematic variable. Journal of High Energy Physics. 2019(5). 8 indexed citations
9.
Baer, Howard, V. Barger, James S. Gainer, et al.. (2018). LHC luminosity and energy upgrades confront natural supersymmetry models. Physical review. D. 98(7). 22 indexed citations
10.
Baer, Howard, V. Barger, James S. Gainer, et al.. (2017). Gluino reach and mass extraction at the LHC in\nradiatively-driven natural SUSY. Insecta mundi. 22 indexed citations
11.
Cahill-Rowley, M., James S. Gainer, JoAnne L. Hewett, & Thomas G. Rizzo. (2015). Towards a supersymmetric description of the Fermi Galactic center excess. Journal of High Energy Physics. 2015(2). 35 indexed citations
12.
Chen, Mingshui, Tongguang Cheng, James S. Gainer, et al.. (2014). Role of interference in unraveling theZZcouplings of the newly discovered boson at the LHC. Physical review. D. Particles, fields, gravitation, and cosmology. 89(3). 23 indexed citations
13.
Avery, Paul, D. Bourilkov, Mingshui Chen, et al.. (2013). Precision studies of the Higgs boson decay channelH→ZZ→4ℓwith MEKD. Physical review. D. Particles, fields, gravitation, and cosmology. 87(5). 38 indexed citations
14.
Avery, P., D. Bourilkov, Mingshui Chen, et al.. (2012). Precision Studies of the Higgs Golden Channel H -> ZZ* -> 4l. Part I. Kinematic discriminants from leading order matrix elements. arXiv (Cornell University). 4 indexed citations
15.
Gainer, James S., Wai-Yee Keung, Ian Low, & Pedro Schwaller. (2012). Looking for a light Higgs boson in theZγ→ll¯γchannel. Physical review. D. Particles, fields, gravitation, and cosmology. 86(3). 37 indexed citations
16.
Gainer, James S., Ran Huo, & Carlos E. M. Wagner. (2011). An Alternative Yukawa Unified SUSY Scenario. 6 indexed citations
17.
Gainer, James S., Kunal Kumar, Ian Low, & Roberto Vega-Morales. (2011). Improving the sensitivity of Higgs boson searches in the golden channel. Journal of High Energy Physics. 2011(11). 30 indexed citations
18.
Berger, Carola F., James S. Gainer, JoAnne L. Hewett, Ben Lillie, & Thomas G. Rizzo. (2009). General features of supersymmetric signals at the ILC: Solving the CERN LHC inverse problem. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
19.
Grouzmann, Eric, et al.. (2008). Dipeptidyl Peptidase IV in Angiotensin-Converting Enzyme Inhibitor-Associated Angioedema. Commentary. Hypertension. 51(1). 1 indexed citations
20.
Berger, Carola F., James S. Gainer, JoAnne L. Hewett, Ben Lillie, & Thomas G. Rizzo. (2007). General Features of Supersymmetric Signals at the ILC: Solving the LHC Inverse Problem. University of North Texas Digital Library (University of North Texas). 2 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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