Peter Bronk

2.1k citations
27 papers · 1.7k · h-index 16

Impact in

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

Papers in

Peter Bronk

26 papers receiving 1.7k citations

Peers

Peter Bronk
Comparison fields: 5 of 92
  • Aging 73
  • Cell Biology 627
  • Cellular and Molecular Neuroscience 548
  • Virology 84
  • Molecular Biology 1.0k
Replace Elvin Woodruff with:
Elvin Woodruff United States
Zhiping Nie United States
Zhaolin Hua United States
Michael W. Linhoff United States
Marie‐Christine Dabauvalle Germany
Richard T. Ambron United States
Melissa M. Rolls United States
Margaret S. Ho China
Daniela A. Sahlender United Kingdom
Barbara W. Bernstein United States
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Citations per field
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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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998320
2 1997193
3 2013181
4 2011117
5 2001110
6 2007104
7 200081
8 200177
9 199976
10 200670
11 199869
12 200264
13 200056
14 200550
15 201847
16 201930
17 201813
18 202012
19 20208
20 20238

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 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (10 papers), Cellular transport and secretion (7 papers), Neurobiology and Insect Physiology Research (7 papers), Lipid Membrane Structure and Behavior (7 papers), Ion channel regulation and function (6 papers), Heat shock proteins research (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Cardiovascular Effects of Exercise (2 papers). The work is most often cited by research in Aging (73 citations), Cell Biology (627 citations), Cellular and Molecular Neuroscience (548 citations), Virology (84 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, Harold L. Atwood, Ken Dawson‐Scully, Ravi Ranjan and Zhiping Nie. Their work appears in journals such as Journal of Neuroscience, Biophysical Journal, Frontiers in Physiology, The Journal of Cell Biology 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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