Craig Tenner

535 citations
24 papers · 393 · h-index 11

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • Colorectal Cancer Screening and Detection
    • Global Cancer Incidence and Screening
    • Viral-associated cancers and disorders

Papers in

Craig Tenner

23 papers receiving 380 citations

Peers

Craig Tenner
Comparison fields: 5 of 75
  • Hepatology 84
  • Oncology 115
  • Pharmacy 19
  • Nephrology 26
  • Epidemiology 123
Replace Laura Mulloy with:
Laura Mulloy United States
Rhys Pockett United Kingdom
Niall Breslin Ireland
Marilyn R. Bartucci United States
John B. Sorensen United States
Howard Baron United States
Yang‐Jen Chiang Taiwan
Ramón Gisbert Spain
Awatif Alam Saudi Arabia
David Hochman Canada
Craig Tenner relative to Laura Mulloy United States Laura Mulloy's profile →
Citations per field
00.5×2.9×
Laura Mulloy · 1×
Citations per year

Countries citing papers authored by Craig Tenner

Since Specialization
Citations

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

Fields of papers citing papers by Craig Tenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200565
2 200562
3 201361
4 200648
5 202023
6 202318
7 201917
8 201215
9 201611
10 200610
11 201810
12 202110
13
Cardiovascular Disease Prevalence in Patients with Osteoarthritis, Gout, or Both.
20169
14 20139
15 20217
16 20207
17 20203
18 20182
19 20202
20 20211

About Craig Tenner

Craig Tenner is a scholar working on General Health Professions, Oncology, Nephrology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 24 papers that have together received 393 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (5 papers), Gout, Hyperuricemia, Uric Acid (4 papers), Obesity and Health Practices (3 papers), Health Policy Implementation Science (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Healthcare cost, quality, practices (2 papers), Cardiac Health and Mental Health (2 papers) and Inflammasome and immune disorders (2 papers). The work is most often cited by research in Hepatology (84 citations), Oncology (115 citations), Pharmacy (19 citations), Nephrology (26 citations) and Epidemiology (123 citations). Craig Tenner has collaborated with scholars based in United States and Vietnam. Frequent co-authors include Edmund J. Bini, Michael A. Poles, Fritz François, Ayse Aytaman, Sameer Dhalla, Scott E. Sherman, Daniel L. Cohen, David Wan, Ann Danoff and Michael H. Pillinger. Their work appears in journals such as The American Journal of Gastroenterology, Gastrointestinal Endoscopy, The American Journal of Medicine, Journal of General Internal Medicine and BMJ Open.

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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