David P. Hoffman

22 papers receiving 682 citations

David P. Hoffman's Hit Papers

Motion of VAPB molecules reveals ER–mitochondria contact site subdomains 2024 · 48 citations
480+1Years since publication10203040

Peers

David P. Hoffman
Comparison fields: 5 of 90
  • Biophysics 110
  • Physical and Theoretical Chemistry 119
  • Cell Biology 140
  • Cellular and Molecular Neuroscience 137
  • Structural Biology 10
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Amanda Remorino France
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Eugene Novikov France
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Countries citing papers authored by David P. Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by David P. Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021168
2 201681
3 202278
4 201467
5
Motion of VAPB molecules reveals ER–mitochondria contact site subdomains
Hit paper breakdown →
202448
6 201545
7 201233
8 201331
9 201326
10 201821
11 201320
12 201516
13 200512
14 201411
15 20229
16 20187
17 20224
18 19723
19 19913
20 20192

About David P. Hoffman

David P. Hoffman is a scholar working on Cellular and Molecular Neuroscience, General Health Professions, Atomic and Molecular Physics, and Optics, Physical and Theoretical Chemistry and Molecular Biology, having authored 23 papers that have together received 687 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (6 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Photochemistry and Electron Transfer Studies (4 papers), Ethics in medical practice (3 papers), Photochromic and Fluorescence Chemistry (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers), Metabolism and Genetic Disorders (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Biophysics (110 citations), Physical and Theoretical Chemistry (119 citations), Cell Biology (140 citations), Cellular and Molecular Neuroscience (137 citations) and Structural Biology (10 citations). David P. Hoffman has collaborated with scholars based in United States, Australia and Saudi Arabia. Frequent co-authors include Richard A. Mathies, Scott R. Ellis, Harald F. Hess, Gleb Shtengel, C. Shan Xu, David T. Valley, Aubrey V. Weigel, Melanie Freeman, Nirmala Iyer and Jennifer Lippincott‐Schwartz. Their work appears in journals such as The Journal of Physical Chemistry A, Physical Chemistry Chemical Physics, Optics Express, Health Affairs and Accounts of Chemical Research.

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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