Daniel E. Cohen

4.7k citations
57 papers · 1.7k · h-index 20

Impact in

  • Hepatology top 0.5%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis C virus research 47
    • Hepatitis B Virus Studies 11
    • Liver Disease Diagnosis and Treatment 11

Daniel E. Cohen

55 papers receiving 1.6k citations

Peers

Daniel E. Cohen
Comparison fields: 5 of 62
  • Hepatology 1.5k
  • Epidemiology 872
  • Infectious Diseases 348
  • Transplantation 39
  • Virology 31
Replace Vilma Sniukiene with:
Vilma Sniukiene United States
Sarah Arterburn United States
Humberto Aguilar United States
Philippe J. Zamor United States
Chris Estes United States
Lois Larsen United States
Sabela Lens Spain
Ziv Ben Ari Israel
Sarah Blach Switzerland
Janice Wahl United States
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Citations per field
00.5×3.3×
Vilma Sniukiene · 1×
Citations per year

Countries citing papers authored by Daniel E. Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel E. Cohen. 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 Daniel E. Cohen. The network helps show where Daniel E. Cohen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013222
2 2016202
3 2014197
4 2014106
5 201590
6 201581
7 201563
8 201561
9 201358
10 201255
11 201651
12 201348
13 201437
14 201734
15 201728
16 200627
17 201423
18 201521
19 201721
20 201219

About Daniel E. Cohen

Daniel E. Cohen is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Rheumatology and Genetics, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (47 papers), HIV/AIDS drug development and treatment (14 papers), Hepatitis B Virus Studies (11 papers), Liver Disease Diagnosis and Treatment (11 papers), Systemic Lupus Erythematosus Research (5 papers), Chronic Lymphocytic Leukemia Research (3 papers), Renal Transplantation Outcomes and Treatments (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Hepatology (1.5k citations), Epidemiology (872 citations), Infectious Diseases (348 citations), Transplantation (39 citations) and Virology (31 citations). Daniel E. Cohen has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Thomas Podsadecki, Barry Bernstein, Eric Lawitz, Lois Larsen, Rajeev Menon, Kris V. Kowdley, Fred Poordad, Mark Sulkowski, Rakesh Tripathi and E. Cohen. Their work appears in journals such as Journal of Hepatology, Journal of Viral Hepatitis, The American Journal of Gastroenterology, The Journal of Infectious Diseases and Antimicrobial Agents and Chemotherapy.

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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