Darrel Cook

2.5k citations
72 papers · 1.8k · h-index 25

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment
    • HIV, Drug Use, Sexual Risk

Papers in

    • Cervical Cancer and HPV Research 28
    • Hepatitis B Virus Studies 10
    • HIV, Drug Use, Sexual Risk 6
    • Liver Disease Diagnosis and Treatment 4
    • Hepatitis C virus research 16

Darrel Cook

71 papers receiving 1.7k citations

Peers

Darrel Cook
Comparison fields: 5 of 81
  • Hepatology 431
  • Epidemiology 1.2k
  • Virology 119
  • Infectious Diseases 282
  • Microbiology 74
Replace Karin Hardt with:
Karin Hardt Belgium
Amitis Ramezani Iran
Jean‐Dominique Poveda France
Radha Railkar United States
Eftyhia Vardas South Africa
Jacek Wysocki Poland
Snježana Židovec Lepej Croatia
Elizabeth Donegan United States
Ines Ushiro‐Lumb United Kingdom
Alex Vorsters Belgium
Darrel Cook relative to Karin Hardt Belgium Karin Hardt's profile →
Citations per field
00.5×6.3×
Karin Hardt · 1×
Citations per year

Countries citing papers authored by Darrel Cook

Since Specialization
Citations

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

Fields of papers citing papers by Darrel Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018189
2 201686
3 201676
4 201273
5 201669
6 201064
7 200164
8 201860
9 201656
10 200151
11 200946
12 201145
13 201741
14 201640
15 201439
16 201539
17 201235
18 201635
19 201332
20 201832

About Darrel Cook

Darrel Cook is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Virology and Surgery, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (28 papers), Hepatitis C virus research (16 papers), Hepatitis B Virus Studies (10 papers), HIV/AIDS Research and Interventions (10 papers), HIV Research and Treatment (7 papers), HIV, Drug Use, Sexual Risk (6 papers), Liver Disease Diagnosis and Treatment (4 papers) and Genital Health and Disease (4 papers). The work is most often cited by research in Hepatology (431 citations), Epidemiology (1.2k citations), Virology (119 citations), Infectious Diseases (282 citations) and Microbiology (74 citations). Darrel Cook has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Mel Krajden, Gina Ogilvie, Laurie Smith, Andrew J. Coldman, Eduardo L. Franco, Amanda Yu, Kathy Ceballos, Naveed Z. Janjua, Gavin Stuart and Stuart Peacock. Their work appears in journals such as International Journal of Cancer, Journal of Clinical Virology, Journal of Viral Hepatitis, Vaccine and AIDS.

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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