Todd D. Porter

45 papers receiving 1.9k citations

Peers

Todd D. Porter
Comparison fields: 5 of 104
  • Pharmacology 648
  • Biochemistry 233
  • Toxicology 83
  • Biochemistry 97
  • Molecular Biology 867
Replace Jan J.P. Bogaards with:
Jan J.P. Bogaards Netherlands
Kenichiro Ogura Japan
Jun‐Yan Hong United States
Michael R. Franklin United States
Runhui Liu China
Teruaki Akao Japan
Gregory Moore Sweden
Grace Chao Yeh United States
Arun P. Kulkarni United States
Mark A. Tirmenstein United States
Todd D. Porter relative to Jan J.P. Bogaards Netherlands Jan J.P. Bogaards's profile →
Citations per field
00.5×1.5×1.9×
Jan J.P. Bogaards · 1×
Citations per year

Countries citing papers authored by Todd D. Porter

Since Specialization
Citations

This map shows the geographic impact of Todd D. Porter'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. Porter 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. Porter more than expected).

Fields of papers citing papers by Todd D. Porter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd D. Porter. 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. Porter. The network helps show where Todd D. Porter may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986210
2 2002157
3 2006140
4 2001121
5 2012113
6 1991110
7 200086
8 200177
9 199066
10 198765
11 200863
12 198662
13 200646
14 200244
15 199643
16 200241
17 199140
18 201133
19 199133
20 201229

About Todd D. Porter

Todd D. Porter is a scholar working on Pharmacology, Molecular Biology, Surgery, Oncology and Endocrinology, Diabetes and Metabolism, having authored 48 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (24 papers), Cholesterol and Lipid Metabolism (9 papers), Drug Transport and Resistance Mechanisms (9 papers), Computational Drug Discovery Methods (5 papers), Hormonal Regulation and Hypertension (4 papers), Natural Products and Biological Research (4 papers), Antioxidant Activity and Oxidative Stress (4 papers) and Plant biochemistry and biosynthesis (4 papers). The work is most often cited by research in Pharmacology (648 citations), Biochemistry (233 citations), Toxicology (83 citations), Biochemistry (97 citations) and Molecular Biology (867 citations). Todd D. Porter has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Charles B. Kasper, Dev K. Singh, Nisha Gupta, Li Li, Thomas W. Beck, Subhashis Banerjee, Vishwesh Mokashi, Thomas E. Wilson, Jinsheng Dong and S. P. Ghoshal. Their work appears in journals such as Archives of Biochemistry and Biophysics, The FASEB Journal, Journal of Biochemical and Molecular Toxicology, Drug Metabolism and Disposition and Biochemical and Biophysical Research Communications.

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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