Jeffrey S. Thompson

5.6k total citations · 1 hit paper
63 papers, 3.7k citations indexed

About

Jeffrey S. Thompson is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Jeffrey S. Thompson has authored 63 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Organic Chemistry. Recurrent topics in Jeffrey S. Thompson's work include DNA Repair Mechanisms (7 papers), Genomics and Chromatin Dynamics (7 papers) and Mercury impact and mitigation studies (7 papers). Jeffrey S. Thompson is often cited by papers focused on DNA Repair Mechanisms (7 papers), Genomics and Chromatin Dynamics (7 papers) and Mercury impact and mitigation studies (7 papers). Jeffrey S. Thompson collaborates with scholars based in United States, Switzerland and Australia. Jeffrey S. Thompson's co-authors include Fang Qian, Teresa G. Cachero, Christine Ambrose, Pascal Schneider, Jeffrey L. Browning, Jürg Tschopp, Michael Grunstein, Christopher D. Benjamin, Martin Scott and Mohammad Zafari and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jeffrey S. Thompson

60 papers receiving 3.6k citations

Hit Papers

BAFF-R, a Newly Identifie... 2001 2026 2009 2017 2001 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey S. Thompson United States 25 1.5k 1.3k 403 401 367 63 3.7k
Maurizio Bruschi Italy 37 778 0.5× 2.5k 1.9× 303 0.8× 230 0.6× 242 0.7× 148 5.1k
Angelo A. Ucci United States 29 816 0.5× 841 0.6× 238 0.6× 251 0.6× 435 1.2× 75 3.2k
Tor Olofsson Sweden 33 917 0.6× 967 0.7× 289 0.7× 273 0.7× 420 1.1× 145 3.3k
Masayuki Hakoda Japan 27 436 0.3× 993 0.8× 123 0.3× 289 0.7× 420 1.1× 88 2.6k
Xiaohu Wang China 29 1.5k 1.0× 1.2k 0.9× 232 0.6× 360 0.9× 505 1.4× 166 3.6k
Robert Salomon United States 29 632 0.4× 1.2k 0.9× 258 0.6× 275 0.7× 432 1.2× 67 3.7k
Tatsuo Abe Japan 35 1.0k 0.7× 2.1k 1.6× 749 1.9× 549 1.4× 907 2.5× 137 4.4k
Christoph A. Reichel Germany 35 1.1k 0.7× 897 0.7× 125 0.3× 292 0.7× 381 1.0× 94 3.5k
James H. Pringle United Kingdom 38 649 0.4× 1.8k 1.4× 282 0.7× 695 1.7× 1.2k 3.4× 97 4.0k
Tianfu Wu United States 33 1.5k 1.0× 966 0.7× 131 0.3× 155 0.4× 298 0.8× 98 3.4k

Countries citing papers authored by Jeffrey S. Thompson

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey S. Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey S. Thompson

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey S. Thompson. A scholar is included among the top collaborators of Jeffrey S. Thompson 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 Jeffrey S. Thompson. Jeffrey S. Thompson 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
2.
Thompson, Jeffrey S., Robert Merrill, Sheeraz A. Qureshi, & Dante M. Leven. (2020). Compression of the S1 Nerve Root by an Extradural Vascular Malformation: A Case Report and Discussion of Atypical Causes of Lumbar Radiculopathy. The International Journal of Spine Surgery. 14(1). 96–101. 3 indexed citations
3.
Thompson, Jeffrey S., et al.. (2019). Fascia Iliaca Block Decreases Hip Fracture Postoperative Opioid Consumption: A Prospective Randomized Controlled Trial. Journal of Orthopaedic Trauma. 34(1). 49–54. 28 indexed citations
4.
Azzolina, Nicholas A., et al.. (2018). Lessons learned and best practices derived from environmental monitoring at a large-scale CO2 injection project. International journal of greenhouse gas control. 78. 254–270. 2 indexed citations
5.
Boudoures, Anna L., et al.. (2014). Histone H3 K79 methylation states play distinct roles in UV-induced sister chromatid exchange and cell cycle checkpoint arrest in Saccharomyces cerevisiae. Nucleic Acids Research. 42(10). 6286–6299. 14 indexed citations
7.
Keller, Andrew, et al.. (2007). Methylation of histone H3 lysine-79 by Dot1p plays multiple roles in the response to UV damage in Saccharomyces cerevisiae. DNA repair. 6(3). 383–395. 70 indexed citations
9.
Darwish, Mona, et al.. (2005). Pharmacokinetics and Dose Proportionality of Fentanyl Effervescent Buccal Tablets in Healthy Volunteers. Clinical Pharmacokinetics. 44(12). 1279–1286. 44 indexed citations
10.
Ng, Lai Guan, Andrew P. R. Sutherland, Rebecca Newton, et al.. (2004). B Cell-Activating Factor Belonging to the TNF Family (BAFF)-R Is the Principal BAFF Receptor Facilitating BAFF Costimulation of Circulating T and B Cells. The Journal of Immunology. 173(2). 807–817. 401 indexed citations
11.
Zhuang, Ye, Jeffrey S. Thompson, Christopher J. Zygarlicke, & John H. Pavlish. (2004). Development of a Mercury Transformation Model in Coal Combustion Flue Gas. Environmental Science & Technology. 38(21). 5803–5808. 62 indexed citations
12.
Pelletier, Marc R., Jeffrey S. Thompson, Fang Qian, et al.. (2003). Comparison of Soluble Decoy IgG Fusion Proteins of BAFF-R and BCMA as Antagonists for BAFF. Journal of Biological Chemistry. 278(35). 33127–33133. 79 indexed citations
13.
Thompson, Jeffrey S. & John H. Pavlish. (2000). Cryogenic trapping of oxidized mercury species from combustion flue gas. Fuel Processing Technology. 65-66. 167–175. 2 indexed citations
14.
Hawthorne, Steven B., et al.. (1997). Assessment of the Subsurface Environmental Fate of Amines Used by the Gas Industry. 6 indexed citations
15.
Brown, Stephen, et al.. (1997). T10B9 action: The effect of anti-t-cell antibody mitogenicity and graft rejection on the first dose cytokine response. Transplantation Proceedings. 29(1-2). 315–316. 2 indexed citations
16.
Thompson, Jeffrey S., Lianna M. Johnson, & Michael Grunstein. (1994). Specific repression of the yeast silent mating locus HMR by an adjacent telomere. Molecular and Cellular Biology. 14(1). 446–455. 18 indexed citations
17.
Feinberg, Andrew P., Linda M. Kalikin, Laura A. Johnson, & Jeffrey S. Thompson. (1994). Loss of Imprinting in Human Cancer. Cold Spring Harbor Symposia on Quantitative Biology. 59(0). 357–364. 20 indexed citations
18.
Thompson, Jeffrey S., Xuefeng B. Ling, & Michael Grunstein. (1994). Histone H3 amino terminus is required for telomeric and silent mating locus repression in yeast. Nature. 369(6477). 245–247. 195 indexed citations
20.
Hecht, D. W., Jeffrey S. Thompson, & Michael H. Malamy. (1989). Characterization of the termini and transposition products of Tn4399, a conjugal mobilizing transposon of Bacteroides fragilis.. Proceedings of the National Academy of Sciences. 86(14). 5340–5344. 19 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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