Marc Vallée

1.3k citations
18 papers · 808 · h-index 9

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

Marc Vallée

18 papers receiving 775 citations

Peers

Marc Vallée
Comparison fields: 5 of 71
  • Hepatology 314
  • Epidemiology 433
  • Nephrology 80
  • Internal Medicine 39
  • Clinical Biochemistry 70
Replace Alan Bonder with:
Alan Bonder United States
Padaki Nagaraja Rao India
I.A. Hauser Germany
Richard A. Willson United States
Eric S. Maller United States
Oded Jurim Israel
Ziv Ben‐Ari Israel
R. Poupon France
Etsuko Hashimoto Japan
Koichi Mizuta Japan
Marc Vallée relative to Alan Bonder United States Alan Bonder's profile →
Citations per field
00.5×10×14×
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Citations per year

Countries citing papers authored by Marc Vallée

Since Specialization
Citations

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

Fields of papers citing papers by Marc Vallée

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc Vallée. 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 Marc Vallée. The network helps show where Marc Vallée may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2003298
2 2006133
3 2003119
4 202058
5 200848
6 200643
7 202041
8 200125
9 200116
10 20087
11 20145
12 20184
13 20153
14 20153
15 20202
16
Higher Aspirin Dose is Associated with Reduced Mortality and More Serious Bleeding in Patients with Recent Cerebrovascular or Coronary Ischemic Events: Insights from the BRAVO Trial
20031
17 20201
18 20031

About Marc Vallée

Marc Vallée is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Immunology, Nephrology and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 808 indexed citations. Recurring topics across this work include Complement system in diseases (4 papers), Alkaline Phosphatase Research Studies (4 papers), Adenosine and Purinergic Signaling (3 papers), Hepatitis C virus research (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Neurogenetic and Muscular Disorders Research (2 papers). The work is most often cited by research in Hepatology (314 citations), Epidemiology (433 citations), Nephrology (80 citations), Internal Medicine (39 citations) and Clinical Biochemistry (70 citations). Marc Vallée has collaborated with scholars based in United States, Spain and Australia. Frequent co-authors include Keyur Patel, John G. McHutchison, Cynthia Behling, Paul J. Pockros, Heather Patton, Andrew Conrad, Lawrence M. Blatt, Joel Morganroth, Brian Warren and Vance G. Fowler. Their work appears in journals such as Clinical Gastroenterology and Hepatology, Pediatric Nephrology, Circulation, AIDS and Journal of Hepatology.

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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