David M. Guidot

6.7k citations
130 papers · 5.3k indexed · h-index 47

David M. Guidot

126 papers receiving 5.2k citations

Peers

David M. Guidot
Comparison fields: 5 of 136
  • Biochemistry 687
  • Pathology and Forensic Medicine 1.3k
  • Virology 263
  • Biological Psychiatry 116
  • Neurology 365
Replace Pravin C. Singhal with:
Pravin C. Singhal United States
Martin Hersberger Switzerland
Juan B. Ochoa United States
Irina Petrache United States
Berthold Hocher Germany
Christa Buechler Germany
János G. Filep Canada
John Anthony Bauer United States
Kiichi Nakahira United States
R. Deulofeu Spain
David M. Guidot relative to Pravin C. Singhal United States Pravin C. Singhal's profile →
Citations per field
00.5×3.4×
Pravin C. Singhal · 1×
Citations per year

Countries citing papers authored by David M. Guidot

Since Specialization
Citations

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

Fields of papers citing papers by David M. Guidot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20176
3 201672
4 20150
5 2014131
6 201449
7 201425
8 201425
9 201365
10 201147
11 20075
12 20051
13 200536
14 200549
15 200469
16 2000171
17 2000191
18 199970
19 199587
20 199414

About David M. Guidot

David M. Guidot is a scholar working on Biochemistry, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 130 papers that have together received 5.3k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (43 papers), Respiratory Support and Mechanisms (27 papers), Eicosanoids and Hypertension Pharmacology (22 papers), Pneumocystis jirovecii pneumonia detection and treatment (17 papers), Sulfur Compounds in Biology (11 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (11 papers), HIV-related health complications and treatments (8 papers) and Neonatal Respiratory Health Research (8 papers). The work is most often cited by research in Biochemistry (687 citations), Pathology and Forensic Medicine (1.3k citations) and Virology (263 citations). David M. Guidot has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Lou Ann S. Brown, Pratibha Joshi, Xian Fan, John E. Repine, Jesse Roman, Rabih Bechara, Marc Moss, Michael Koval, Polly E. Parsons and Leonard D. Hudson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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