R.M. Hochmuth

57 papers and 3.6k indexed citations i.

About

R.M. Hochmuth is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, R.M. Hochmuth has authored 57 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Physiology, 35 papers in Pulmonary and Respiratory Medicine and 22 papers in Molecular Biology. Recurrent topics in R.M. Hochmuth’s work include Erythrocyte Function and Pathophysiology (38 papers), Blood properties and coagulation (35 papers) and Lipid Membrane Structure and Behavior (21 papers). R.M. Hochmuth is often cited by papers focused on Erythrocyte Function and Pathophysiology (38 papers), Blood properties and coagulation (35 papers) and Lipid Membrane Structure and Behavior (21 papers). R.M. Hochmuth collaborates with scholars based in United States. R.M. Hochmuth's co-authors include David Needham, Evan Evans, Richard E. Waugh, Narla Mohandas, H. Ping Ting‐Beall, Perry L. Blackshear, Salvatore P. Sutera, Jin‐Yu Shao, Doncho V. Zhelev and Roger Tran‐Son‐Tay and has published in prestigious journals such as Science, Journal of Clinical Investigation and The Journal of Cell Biology.

In The Last Decade

Co-authorship network of co-authors of R.M. Hochmuth i

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.

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).

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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