David H. Perlmutter

21 total papers · 908 total citations
17 papers, 682 citations indexed

About

David H. Perlmutter is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, David H. Perlmutter has authored 17 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in David H. Perlmutter's work include Pediatric Hepatobiliary Diseases and Treatments (4 papers), Protease and Inhibitor Mechanisms (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). David H. Perlmutter is often cited by papers focused on Pediatric Hepatobiliary Diseases and Treatments (4 papers), Protease and Inhibitor Mechanisms (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). David H. Perlmutter collaborates with scholars based in United States. David H. Perlmutter's co-authors include Frederick C. Ryckman, Jay H. Hoofnagle, William F. Balistreri, Frederick J. Suchy, Ronald J. Sokol, Richard J. Grand, Peter J. Nelson, Robert J. Fallon, Charles S. Schasteen and S P Adams and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Gastroenterology.

In The Last Decade

David H. Perlmutter

17 papers receiving 670 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David H. Perlmutter 334 242 130 117 100 17 682
Morito Monden 137 0.4× 113 0.5× 302 2.3× 86 0.7× 145 1.4× 19 636
Marie‐Thérèse Simon 243 0.7× 68 0.3× 209 1.6× 70 0.6× 179 1.8× 12 662
K Mafune 143 0.4× 126 0.5× 367 2.8× 103 0.9× 147 1.5× 28 697
Mihaela Ignat 196 0.6× 94 0.4× 260 2.0× 53 0.5× 96 1.0× 22 613
Eustachio Ruggieri 122 0.4× 121 0.5× 238 1.8× 89 0.8× 211 2.1× 19 590
Gavin Tjin 119 0.4× 334 1.4× 222 1.7× 66 0.6× 81 0.8× 20 785
Diego Muilenburg 84 0.3× 92 0.4× 150 1.2× 74 0.6× 118 1.2× 15 605
Amanda Mikels‐Vigdal 92 0.3× 138 0.6× 253 1.9× 170 1.5× 206 2.1× 14 656
Charles T. Miller 117 0.4× 155 0.6× 455 3.5× 104 0.9× 152 1.5× 15 704
Antje Mohs 196 0.6× 50 0.2× 212 1.6× 97 0.8× 49 0.5× 16 663

Countries citing papers authored by David H. Perlmutter

Since Specialization
Citations

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

Fields of papers citing papers by David H. Perlmutter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David H. Perlmutter

This figure shows the co-authorship network connecting the top 25 collaborators of David H. Perlmutter. A scholar is included among the top collaborators of David H. Perlmutter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David H. Perlmutter. David H. Perlmutter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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