William C. Hunt

109 papers receiving 6.7k citations

William C. Hunt's Hit Papers

“U” curve association of blood pressure and mortality in hemodialysis patients 1998 · 515 citations
5150+9+19Years since publication200400600

Peers

William C. Hunt
Comparison fields: 5 of 167
  • Nephrology 586
  • Epidemiology 1.8k
  • Cancer Research 612
  • Endocrinology, Diabetes and Metabolism 602
  • Oncology 927
Replace Fredrik Granath with:
Fredrik Granath Sweden
Franco Merletti Italy
Mimi Kim United States
Margaret McCredie Australia
Stephen A. Roberts United Kingdom
Sue K. Park South Korea
Mary Pettinger United States
Gerda Engholm Denmark
Caroline Gordon United Kingdom
Lai‐Chu See Taiwan
William C. Hunt relative to Fredrik Granath Sweden Fredrik Granath's profile →
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Countries citing papers authored by William C. Hunt

Since Specialization
Citations

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

Fields of papers citing papers by William C. Hunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prognostic factors for thyroid carcinoma
Hit paper breakdown →
1997626
2
“U” curve association of blood pressure and mortality in hemodialysis patients
Hit paper breakdown →
1998515
3 1992428
4 2000343
5 2000275
6 2001216
7 1993194
8 2009193
9 1993146
10 2012138
11 2003126
12 1997124
13 1990118
14 2006111
15 2006107
16
Use of complementary therapies among primary care clinic patients with arthritis.
2004102
17 2001100
18 199497
19 200794
20 199389

About William C. Hunt

William C. Hunt is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Physiology, having authored 110 papers that have together received 7.0k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (28 papers), Global Cancer Incidence and Screening (12 papers), Prostate Cancer Diagnosis and Treatment (11 papers), Genital Health and Disease (8 papers), Breast Cancer Treatment Studies (4 papers), Nutrition and Health in Aging (4 papers), Dialysis and Renal Disease Management (4 papers) and Nutritional Studies and Diet (4 papers). The work is most often cited by research in Nephrology (586 citations), Epidemiology (1.8k citations), Cancer Research (612 citations), Endocrinology, Diabetes and Metabolism (602 citations) and Oncology (927 citations). William C. Hunt has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Charles R. Key, Jonathan M. Samet, Cosette M. Wheeler, Diana C. Farrow, James S. Goodwin, Frank D. Gilliland, Don M. Morris, Philip J. Garry, Frank D. Gilliland and Philip E. Castle. Their work appears in journals such as Cancer, Journal of the American Geriatrics Society, Cancer Epidemiology Biomarkers & Prevention, The Journal of Infectious Diseases and The Journal of Urology.

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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