Gerald H. Pollack

6.8k citations
186 papers · 5.0k · h-index 40

Impact in

Papers in

Gerald H. Pollack

181 papers receiving 4.7k citations

Peers

Gerald H. Pollack
Comparison fields: 5 of 158
  • Biophysics 993
  • Cardiology and Cardiovascular Medicine 1.8k
  • Physiology 328
  • Physiology 971
  • Biomedical Engineering 1.5k
Replace Frank S. Prato with:
Frank S. Prato Canada
Mark F. Lythgoe United Kingdom
R. Fink Germany
Masahiro Sokabe Japan
Frederick Sachs United States
Boris Martinac Australia
Roland Nitschke Germany
Julia Gorelik United Kingdom
Shin’ichi Ishiwata Japan
Mark B. Cannell United Kingdom
Gerald H. Pollack relative to Frank S. Prato Canada Frank S. Prato's profile →
Citations per field
00.5×1.5×1.9×
Frank S. Prato · 1×
Citations per year

Countries citing papers authored by Gerald H. Pollack

Since Specialization
Citations

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

Fields of papers citing papers by Gerald H. Pollack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald H. Pollack. 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 Gerald H. Pollack. The network helps show where Gerald H. Pollack may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006257
2 1994175
3 2003166
4 1978146
5 1977140
6 2009128
7 2002125
8 2016116
9 2008114
10 1970102
11 198991
12 200488
13
Cells, Gels and the Engines of Life: A New Unifying Approach to Cell Function
200184
14 200383
15 199782
16 198478
17 199376
18 200674
19 199873
20 199068

About Gerald H. Pollack

Gerald H. Pollack is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Biophysics, Atomic and Molecular Physics, and Optics and Physiology, having authored 186 papers that have together received 5.0k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (64 papers), Chemical and Physical Studies (49 papers), Biofield Effects and Biophysics (37 papers), Force Microscopy Techniques and Applications (31 papers), Muscle activation and electromyography studies (29 papers), Advanced Sensor and Energy Harvesting Materials (26 papers), Muscle Physiology and Disorders (21 papers) and Magnetic and Electromagnetic Effects (17 papers). The work is most often cited by research in Biophysics (993 citations), Cardiology and Cardiovascular Medicine (1.8k citations), Physiology (328 citations), Physiology (971 citations) and Biomedical Engineering (1.5k citations). Gerald H. Pollack has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Wolfgang A. Linke, Henk Granzier, Hyok Yoo, Xiumei Liu, V. I. Popov, Marc L. Bartoo, Haruo Sugi, Qing Zhao, J. T. Trevors and Toshiaki Iwazumi. Their work appears in journals such as Advances in experimental medicine and biology, Journal of Muscle Research and Cell Motility, Biophysical Journal, Langmuir and The Journal of Physical Chemistry B.

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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