Peter Bronk

2.1k citations
26 papers · 1.6k · h-index 16

Impact in

  • Aging top 5%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

Peter Bronk

25 papers receiving 1.6k citations

Peers

Peter Bronk
Comparison fields: 5 of 91
  • Aging 73
  • Cell Biology 608
  • Cellular and Molecular Neuroscience 537
  • Virology 86
  • Molecular Biology 1.0k
Replace Zhiping Nie with:
Zhiping Nie United States
Marie‐Christine Dabauvalle Germany
Elvin Woodruff United States
John C. Christianson United Kingdom
Margaret S. Ho China
Irina Ankoudinova United States
Richard T. Ambron United States
Amy E. Sheehan United States
Barbara W. Bernstein United States
Rudy Behnia United States
Peter Bronk relative to Zhiping Nie United States Zhiping Nie's profile →
Citations per field
00.5×1.5×2.0×
Zhiping Nie · 1×
Citations per year

Countries citing papers authored by Peter Bronk

Since Specialization
Citations

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

Fields of papers citing papers by Peter Bronk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Bronk. 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 Peter Bronk. The network helps show where Peter Bronk may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998309
2 1997192
3 2013165
4 2011117
5 2001104
6 2007101
7 200079
8 199974
9 200173
10 199867
11 200666
12 200260
13 200051
14 200548
15 201843
16 201924
17 201812
18 202011
19 20238
20 20237

About Peter Bronk

Peter Bronk is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Cell Biology and Genetics, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (10 papers), Lipid Membrane Structure and Behavior (7 papers), Neurobiology and Insect Physiology Research (7 papers), Cellular transport and secretion (7 papers), Ion channel regulation and function (6 papers), Heat shock proteins research (3 papers), Neuroscience and Neural Engineering (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Aging (73 citations), Cell Biology (608 citations), Cellular and Molecular Neuroscience (537 citations), Virology (86 citations) and Molecular Biology (1.0k citations). Peter Bronk has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Konrad E. Zinsmaier, Vadim A. Frolov, Joshua Zimmerberg, Eugenia Leikina, Leonid Chernomordik, Thomas C. Südhof, Ken Dawson‐Scully, Harold L. Atwood, Ravi Ranjan and Zhiping Nie. Their work appears in journals such as Journal of Neuroscience, The Journal of Cell Biology, Journal of Neurophysiology, Frontiers in Physiology and Neuron.

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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