Todd P. Silverstein

1.3k citations
77 papers · 950 · h-index 17

Impact in

Papers in

Todd P. Silverstein

76 papers receiving 928 citations

Peers

Todd P. Silverstein
Comparison fields: 5 of 127
  • Physical and Theoretical Chemistry 151
  • Electrochemistry 55
  • Chemical Health and Safety 5
  • Filtration and Separation 15
  • Molecular Biology 391
Replace Omer Markovitch with:
Omer Markovitch Israel
Yaoquan Tu Sweden
Sudip Chakraborty India
C. Mark Maupin United States
Véronique Pimienta France
Manuel Cortijo Spain
Lidong Gong China
Jaroslava Mikšovská United States
Jonathan Woodward United States
Timothy D. Vaden United States
Todd P. Silverstein relative to Omer Markovitch Israel Omer Markovitch's profile →
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Countries citing papers authored by Todd P. Silverstein

Since Specialization
Citations

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

Fields of papers citing papers by Todd P. Silverstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Todd P. Silverstein, 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 P. Silverstein Line = papers co-authored together Todd P. Silverstein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201280
2 199870
3 201770
4 199357
5 201444
6 202141
7 199336
8 200432
9 201930
10 201928
11 201626
12 201025
13 200421
14 202018
15 201517
16 201417
17 201217
18 202216
19 202115
20 202015

About Todd P. Silverstein

Todd P. Silverstein is a scholar working on Molecular Biology, Physical and Theoretical Chemistry, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Electrochemistry, having authored 77 papers that have together received 950 indexed citations. Recurring topics across this work include Various Chemistry Research Topics (29 papers), Spectroscopy and Quantum Chemical Studies (8 papers), Protein Structure and Dynamics (7 papers), Mitochondrial Function and Pathology (7 papers), Lipid Membrane Structure and Behavior (7 papers), Electrochemical Analysis and Applications (7 papers), Chemistry and Chemical Engineering (6 papers) and ATP Synthase and ATPases Research (5 papers). The work is most often cited by research in Physical and Theoretical Chemistry (151 citations), Electrochemistry (55 citations), Chemical Health and Safety (5 citations), Filtration and Separation (15 citations) and Molecular Biology (391 citations). Todd P. Silverstein has collaborated with scholars based in United States, Sweden and Brazil. Frequent co-authors include Stephen T. Heller, John F. Allen, Marcos Gugliotti, Kristin M. Slade, Karen L. McFarlane Holman, Carl Slater, Mário J. Politi, Maurı́cio S. Baptista, Travis V. Harris and Buck L. H. Taylor. Their work appears in journals such as Journal of Chemical Education, Journal of Bioenergetics and Biomembranes, Protein Science, Biophysical Chemistry and Journal of Neurophysiology.

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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