Thomas C. Williams

4.4k citations
102 papers · 3.0k · h-index 33

Impact in

Papers in

Thomas C. Williams

96 papers receiving 2.9k citations

Peers

Thomas C. Williams
Comparison fields: 5 of 150
  • Molecular Biology 1.4k
  • Tourism, Leisure and Hospitality Management 27
  • Biotechnology 141
  • Biomedical Engineering 703
  • Emergency Medicine 90
Replace Sang‐Won Lee with:
Sang‐Won Lee South Korea
Peter Scholz Germany
Toshio Nakajima Japan
Xiaoqin Huang China
Hao Liu China
Bin Yang China
Hiroshi Ochiai Japan
Ina L. Urbatsch United States
Ishwar Singh India
Paul J. Smith United States
Thomas C. Williams relative to Sang‐Won Lee South Korea Sang‐Won Lee's profile →
Citations per field
00.5×8.2×
Sang‐Won Lee · 1×
Citations per year

Countries citing papers authored by Thomas C. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Thomas C. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas C. Williams, 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 C. Williams Line = papers co-authored together Thomas C. Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015160
2 2017150
3 2005150
4 2017122
5 2018113
6 2015110
7 1994110
8 2020102
9 201682
10 200073
11 199771
12 200870
13 202164
14 201261
15 201561
16 200760
17 197953
18 198053
19 200250
20 201545

About Thomas C. Williams

Thomas C. Williams is a scholar working on Molecular Biology, Organic Chemistry, Biomedical Engineering, Electrical and Electronic Engineering and Physiology, having authored 102 papers that have together received 3.0k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (12 papers), Microwave Imaging and Scattering Analysis (10 papers), Fungal and yeast genetics research (9 papers), Gene Regulatory Network Analysis (7 papers), Synthesis and characterization of novel inorganic/organometallic compounds (6 papers), Electrical and Bioimpedance Tomography (6 papers), Ultrasonics and Acoustic Wave Propagation (6 papers) and Silicone and Siloxane Chemistry (5 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Tourism, Leisure and Hospitality Management (27 citations), Biotechnology (141 citations), Biomedical Engineering (703 citations) and Emergency Medicine (90 citations). Thomas C. Williams has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Ian T. Paulsen, Claudia E. Vickers, Isak S. Pretorius, Lars K. Nielsen, Bingyin Peng, Brian D. Sykes, Serguei Semenov, David C. Corson, Y.E. Sizov and Hugh D. Goold. Their work appears in journals such as Nature Communications, Biochemistry, The Journal of Organic Chemistry, ACS Synthetic Biology and International Journal of Experimental Pathology.

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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