Michael C. Doherty

743 citations
14 papers · 580 · h-index 12

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Hepatitis C virus research
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • HIV, Drug Use, Sexual Risk
    • Neuroendocrine Tumor Research Advances

Papers in

Michael C. Doherty

14 papers receiving 545 citations

Peers

Michael C. Doherty
Comparison fields: 5 of 65
  • Hepatology 163
  • Epidemiology 243
  • Infectious Diseases 95
  • Oncology 122
  • Endocrinology, Diabetes and Metabolism 47
Replace M.A. Gentil with:
M.A. Gentil Spain
T. Pruett United States
Nyingi Kemmer United States
Chia W. Ko United States
Alnoor Ramji Canada
Giovanna Scroccaro Italy
E. I. Winkelman United States
Ting‐Yi Chen United States
Björn Fischler Sweden
Sung-Cheol Yun South Korea
Michael C. Doherty relative to M.A. Gentil Spain M.A. Gentil's profile →
Citations per field
00.5×2.9×
M.A. Gentil · 1×
Citations per year

Countries citing papers authored by Michael C. Doherty

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Doherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Doherty. 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 Michael C. Doherty. The network helps show where Michael C. Doherty may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2003129
2 200681
3 200655
4 199749
5 200647
6 201747
7 201646
8 201144
9
Inadequate bleach contact times during syringe cleaning among injection drug users.
199432
10 202314
11 201813
12 200112
13 202210
14 20131

About Michael C. Doherty

Michael C. Doherty is a scholar working on Infectious Diseases, Epidemiology, Hepatology, Genetics and Dermatology, having authored 14 papers that have together received 580 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (2 papers), Viral gastroenteritis research and epidemiology (2 papers), HIV, Drug Use, Sexual Risk (2 papers), Diabetes Management and Research (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Renal cell carcinoma treatment (1 paper), Endometriosis Research and Treatment (1 paper) and Census and Population Estimation (1 paper). The work is most often cited by research in Hepatology (163 citations), Epidemiology (243 citations), Infectious Diseases (95 citations), Oncology (122 citations) and Endocrinology, Diabetes and Metabolism (47 citations). Michael C. Doherty has collaborated with scholars based in United States, Nepal and Belgium. Frequent co-authors include Steven A. Bigler, David R. Gretch, Peter F. Malet, David Vlahov, David D. Dore, Kristy Iglay, Samuel S. Engel, H. J. Yang, Anthony P. Nunes and Larry Radican. Their work appears in journals such as Diabetes Research and Clinical Practice, Gastrointestinal Endoscopy, Radiology, Human Vaccines & Immunotherapeutics and Diabetes Obesity and Metabolism.

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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