David H. Perlmutter

99 papers receiving 12.5k citations

David H. Perlmutter's Hit Papers

Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) 2016 · 4.7k citations
4.7k0+13+26Years since publication10002.0k3.0k4.0k

Peers

David H. Perlmutter
Comparison fields: 5 of 158
  • Aging 373
  • Epidemiology 5.2k
  • Cell Biology 2.5k
  • Physiology 640
  • Cancer Research 1.8k
Replace Gary A. Silverman with:
Gary A. Silverman United States
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Citations per field
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)
Hit paper breakdown →
20164660
2
Guidelines for the use and interpretation of assays for monitoring autophagy in higher eukaryotes
Hit paper breakdown →
20081849
3
Cachectin/tumor necrosis factor regulates hepatic acute-phase gene expression.
Hit paper breakdown →
1986531
4 1996321
5 1994246
6 2000236
7 2002229
8 1993223
9 2013222
10 2005207
11 1985182
12 1990165
13 2005130
14 1993122
15 1986121
16 2004114
17 1985113
18 2001113
19 1989102
20 1991100

About David H. Perlmutter

David H. Perlmutter is a scholar working on Cancer Research, Cell Biology, Aging, Hematology and Molecular Biology, having authored 101 papers that have together received 12.9k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (24 papers), Endoplasmic Reticulum Stress and Disease (22 papers), Peptidase Inhibition and Analysis (12 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers), Autophagy in Disease and Therapy (10 papers), Complement system in diseases (10 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers) and Signaling Pathways in Disease (7 papers). The work is most often cited by research in Aging (373 citations), Epidemiology (5.2k citations), Cell Biology (2.5k citations), Physiology (640 citations) and Cancer Research (1.8k citations). David H. Perlmutter has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Jeffrey H. Teckman, Harvey R. Colten, Charles Anthony Dinarello, Ernesto P. Molmenti, Béla Z. Schmidt, Dongfeng Qu, Pamela D. Hale, David A. Rudnick, Robert J. Fallon and Satoshi Ōmura. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, American Journal of Physiology-Gastrointestinal and Liver Physiology, Hepatology and Journal of Pediatric Gastroenterology and Nutrition.

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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