Thomas Sheffield

624 citations
19 papers · 429 · h-index 11

Impact in

Papers in

Thomas Sheffield

18 papers receiving 418 citations

Peers

Thomas Sheffield
Comparison fields: 5 of 98
  • Health, Toxicology and Mutagenesis 100
  • Small Animals 48
  • Chemical Health and Safety 3
  • Computational Theory and Mathematics 70
  • Environmental Chemistry 32
Replace Richard M. Spencer with:
Richard M. Spencer United States
Qinchang Chen China
Yu‐Syuan Luo United States
Cameron MacKay United Kingdom
Zhiwen Duan China
Reetu Singh United States
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Citations per field
00.5×11.1×
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Citations per year

Countries citing papers authored by Thomas Sheffield

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Sheffield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Sheffield, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Sheffield Line = papers co-authored together Thomas Sheffield links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2021134
2 201952
3
Preservation of the myocardium during coronary artery bypass grafting.
198146
4 202131
5 202130
6 202027
7 202225
8 202119
9 201917
10 202113
11 201511
12 199110
13 20176
14
Simulated bi-SQUID Arrays Performing Direction Finding
20153
15 20242
16 20191
17 20251
18 20091
19 20260

About Thomas Sheffield

Thomas Sheffield is a scholar working on Computational Theory and Mathematics, Molecular Biology, Cardiology and Cardiovascular Medicine, Oceanography and Health, Toxicology and Mutagenesis, having authored 19 papers that have together received 429 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Gene expression and cancer classification (2 papers), Cell Image Analysis Techniques (2 papers), Ocean Waves and Remote Sensing (2 papers), Nonlinear Photonic Systems (1 paper), Recycling and Waste Management Techniques (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Radio Astronomy Observations and Technology (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (100 citations), Small Animals (48 citations), Chemical Health and Safety (3 citations), Computational Theory and Mathematics (70 citations) and Environmental Chemistry (32 citations). Thomas Sheffield has collaborated with scholars based in United States. Frequent co-authors include Richard Judson, Derik E. Haggard, Imran Shah, Logan J. Everett, Joshua Harrill, Clinton Willis, Russell S. Thomas, Joseph L. Bundy, Yang Xie and Benno Rumpf. Their work appears in journals such as Bioinformatics, Journal for ImmunoTherapy of Cancer, Frontiers in Immunology, Cancer Immunology Immunotherapy and Hypertension.

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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