R.M. Hochmuth

4.8k citations
57 papers · 3.7k · h-index 33

Impact in

    • Cellular Mechanics and Interactions
  • Physiology top 1%
    • Erythrocyte Function and Pathophysiology

Papers in

R.M. Hochmuth

57 papers receiving 3.5k citations

Peers

R.M. Hochmuth
Comparison fields: 5 of 130
  • Cell Biology 947
  • Physiology 1.2k
  • Immunology and Allergy 272
  • Fluid Flow and Transfer Processes 292
  • Pulmonary and Respiratory Medicine 1.3k
Replace Richard E. Waugh with:
Richard E. Waugh United States
Shunichi Usami United States
Robert M. Hochmuth United States
Henry S. Slayter United States
Roger Tran‐Son‐Tay United States
Robert M. Ezzell United States
Claude Verdier France
Yiider Tseng United States
Peter B. Canham Canada
Κωνσταντίνος Κωνσταντόπουλος United States
R.M. Hochmuth relative to Richard E. Waugh United States Richard E. Waugh's profile →
Citations per field
00.5×1.5×
Richard E. Waugh · 1×
Citations per year

Countries citing papers authored by R.M. Hochmuth

Since Specialization
Citations

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

Fields of papers citing papers by R.M. Hochmuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.M. Hochmuth. 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 R.M. Hochmuth. The network helps show where R.M. Hochmuth may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987252
2 1976248
3 1973242
4 1989223
5 1979212
6 1996145
7 1993126
8 1993124
9 1983123
10 1992118
11 1982114
12 1987113
13 1990111
14 1991108
15 1974107
16 1994101
17 199390
18 198275
19 197669
20 197068

About R.M. Hochmuth

R.M. Hochmuth is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Molecular Biology, Biomedical Engineering and Cell Biology, having authored 57 papers that have together received 3.7k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (38 papers), Blood properties and coagulation (35 papers), Lipid Membrane Structure and Behavior (21 papers), Microfluidic and Bio-sensing Technologies (12 papers), Force Microscopy Techniques and Applications (6 papers), Cellular Mechanics and Interactions (5 papers), Hemoglobinopathies and Related Disorders (5 papers) and Cell Adhesion Molecules Research (5 papers). The work is most often cited by research in Cell Biology (947 citations), Physiology (1.2k citations), Immunology and Allergy (272 citations), Fluid Flow and Transfer Processes (292 citations) and Pulmonary and Respiratory Medicine (1.3k citations). R.M. Hochmuth has collaborated with scholars based in United States and Canada. Frequent co-authors include David Needham, Evan Evans, Richard E. Waugh, Narla Mohandas, H. Ping Ting‐Beall, Perry L. Blackshear, Doncho V. Zhelev, Salvatore P. Sutera, Jin‐Yu Shao and Roger Tran‐Son‐Tay. Their work appears in journals such as Biophysical Journal, Blood, Journal of Biomechanical Engineering, Microvascular Research and Journal of Rheology.

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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