Don Ganem

31.7k citations
204 papers · 25.1k indexed · 7 hit papers · h-index 85

Impact in

  • Hepatology top 0.1%
    • Hepatitis C virus research
  • Epidemiology top 0.02%
    • Cytomegalovirus and herpesvirus research
    • Hepatitis B Virus Studies
    • Herpesvirus Infections and Treatments

Papers in

    • Hepatitis B Virus Studies 66
    • Cytomegalovirus and herpesvirus research 63
    • Herpesvirus Infections and Treatments 40
    • Hepatitis C virus research 28

Don Ganem

204 papers receiving 24.5k citations

Hit Papers

Hepatitis B Virus Infection — Natural History and Clinical Consequences 2004 · 1.9k citations
1.9k197720261993200950010001.5k

Peers

Don Ganem
Comparison fields: 5 of 145
  • Hepatology 4.6k
  • Epidemiology 16.5k
  • Oncology 10.9k
  • Infectious Diseases 5.4k
  • Virology 1.2k
Replace Jeffrey I. Cohen with:
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Don Ganem relative to Jeffrey I. Cohen United States Jeffrey I. Cohen's profile →
Citations per field
00.5×5.0×
Jeffrey I. Cohen · 1×
Citations per year

Countries citing papers authored by Don Ganem

Since Specialization
Citations

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

Fields of papers citing papers by Don Ganem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2011183
2 201029
3 2009187
4 200855
5 2007161
6 200738
7 2007195
8 200664
9 2005137
10
Hepatitis B Virus Infection — Natural History and Clinical Consequences
Hit paper breakdown →
20041856
11 2003326
12 1997247
13 1997142
14 199620
15 199617
16 19957
17 1995122
18 199310
19 199363
20 198729

About Don Ganem

Don Ganem is a scholar working on Epidemiology, Hepatology, Oncology, Virology and Animal Science and Zoology, having authored 204 papers that have together received 25.1k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (78 papers), Hepatitis B Virus Studies (66 papers), Cytomegalovirus and herpesvirus research (63 papers), Herpesvirus Infections and Treatments (40 papers), Animal Virus Infections Studies (28 papers), Hepatitis C virus research (28 papers), Viral gastroenteritis research and epidemiology (22 papers) and Bacteriophages and microbial interactions (15 papers). The work is most often cited by research in Hepatology (4.6k citations), Epidemiology (16.5k citations), Oncology (10.9k citations), Infectious Diseases (5.4k citations) and Virology (1.2k citations). Don Ganem has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Harold Varmus, Alfred M. Prince, Adam Grundhoff, Rolf Renne, Laurent Coscoy, Christopher S. Sullivan, David M. Lukac, Brian Herndier, Michael Lagunoff and Dean H. Kedes. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Virology, Journal of Clinical Investigation and Molecular and Cellular Biology.

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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