Todd D. Williams
Impact in
- Biochemistry top 0.2%
- Lipid metabolism and biosynthesis
-
- Regulation of Appetite and Obesity
Papers in
- Biochemistry 21
- Lipid metabolism and biosynthesis 10
- Spectroscopy 31
- Mass Spectrometry Techniques and Applications 26
- Analytical Chemistry and Chromatography 13
- Advanced Proteomics Techniques and Applications 10
- Co-authors
- Christian SchöneichRuth WeltiDiana J. BigelowJ. M. OvertonXuemin WangRosa I. VinerThomas C. SquierMaoyin Li
- Journals
- Chemical Research in Toxicology (13 papers)Biochemistry (10 papers)Analytical Biochemistry (7 papers)Journal of Biological Chemistry (4 papers)Journal of Pharmaceutical and Biomedical Analysis (4 papers)
- Partner nations
- United StatesCanadaBelgium
In The Last Decade
Todd D. Williams
138 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Biochemistry 886
- Endocrine and Autonomic Systems 490
- Spectroscopy 982
- Molecular Biology 3.7k
- Physiology 1.2k
Countries citing papers authored by Todd D. Williams
This map shows the geographic impact of Todd D. 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 Todd D. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd D. Williams more than expected).
Fields of papers citing papers by Todd D. Williams
This network shows the impact of papers produced by Todd D. 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 Todd D. Williams. The network helps show where Todd D. Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd D. Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 41 | |
| 2 | 2018 | 43 | |
| 3 | 2017 | 76 | |
| 4 | 2016 | 5 | |
| 5 | 2016 | 24 | |
| 6 | 2015 | 23 | |
| 7 | 2009 | 35 | |
| 8 | 2008 | 6 | |
| 9 | 2008 | 100 | |
| 10 | 2008 | 14 | |
| 11 | 2007 | 11 | |
| 12 | 2007 | 34 | |
| 13 | 2007 | 32 | |
| 14 | 2006 | 29 | |
| 15 | 2002 | 388 | |
| 16 | 2002 | 26 | |
| 17 | 2002 | 32 | |
| 18 | 2002 | 32 | |
| 19 | 2000 | 1 | |
| 20 | 1980 | 8 |
About Todd D. Williams
Todd D. Williams is a scholar working on Biochemistry, Spectroscopy, Endocrine and Autonomic Systems, Molecular Biology and Pharmacology, having authored 138 papers that have together received 7.1k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (26 papers), Metabolomics and Mass Spectrometry Studies (14 papers), Analytical Chemistry and Chromatography (13 papers), Redox biology and oxidative stress (10 papers), Advanced Proteomics Techniques and Applications (10 papers), Ion channel regulation and function (10 papers), Lipid metabolism and biosynthesis (10 papers) and Adipose Tissue and Metabolism (9 papers). The work is most often cited by research in Biochemistry (886 citations), Endocrine and Autonomic Systems (490 citations), Spectroscopy (982 citations), Molecular Biology (3.7k citations) and Physiology (1.2k citations). Todd D. Williams has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Christian Schöneich, Ruth Welti, Diana J. Bigelow, J. M. Overton, Xuemin Wang, Rosa I. Viner, Thomas C. Squier, Maoyin Li, Deborah A. Ferrington and Yongming Sang. Their work appears in journals such as Chemical Research in Toxicology, Biochemistry, Analytical Biochemistry, Journal of Biological Chemistry and Journal of Pharmaceutical and Biomedical Analysis.
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.