William D. Tench
Impact in
- Epidemiology top 10%
- Cervical Cancer and HPV Research
-
- Global Cancer Incidence and Screening
- Colorectal Cancer Screening and Detection
Papers in
- Epidemiology 13
- Cervical Cancer and HPV Research 12
- Oncology 4
- Global Cancer Incidence and Screening 3
- Lung Cancer Research Studies 1
- Co-authors
- David C. Wilbur (13 shared papers)Ann Moriarty (12 shared papers)Lisa A. Fatheree (10 shared papers)Rhona J. Souers (7 shared papers)Amy C. Clayton (8 shared papers)Michael Henry (7 shared papers)Mary R. Schwartz (5 shared papers)Mary R. Schwartz (3 shared papers)
- Journals
- Archives of Pathology & Laboratory Medicine (11 papers)Acta Cytologica (1 paper)Frontiers in Immunology (1 paper)Radiology (1 paper)Human Pathology (1 paper)
- Partner nations
- United StatesUnited Arab EmiratesUnited Kingdom
In The Last Decade
William D. Tench
20 papers receiving 500 citations
Peers
Comparison fields: 5 of 56
- Epidemiology 320
- Oncology 92
- Obstetrics and Gynecology 24
- Surgery 86
- Artificial Intelligence 63
Countries citing papers authored by William D. Tench
This map shows the geographic impact of William D. Tench'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 D. Tench with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William D. Tench more than expected).
Fields of papers citing papers by William D. Tench
This network shows the impact of papers produced by William D. Tench. 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 D. Tench. The network helps show where William D. Tench may publish in the future.
Co-authors
The 25 scholars most cited alongside William D. Tench, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 74 | |
| 2 | 2009 | 70 | |
| 3 | 2010 | 67 | |
| 4 | 1977 | 39 | |
| 5 | Preliminary assessment of the AutoCyte PREP. Direct-to-vial performance. | 2000 | 33 |
| 6 | 2008 | 27 | |
| 7 | 2008 | 26 | |
| 8 | 2009 | 25 | |
| 9 | 2009 | 25 | |
| 10 | 2013 | 23 | |
| 11 | 2021 | 23 | |
| 12 | The Papanicolaou smear. | 1992 | 18 |
| 13 | 2009 | 16 | |
| 14 | 2009 | 14 | |
| 15 | 2002 | 14 | |
| 16 | 2009 | 11 | |
| 17 | 2003 | 11 | |
| 18 | 2009 | 4 | |
| 19 | 2009 | 4 | |
| 20 | 2018 | 1 |
About William D. Tench
William D. Tench is a scholar working on Epidemiology, Oncology, Surgery, Artificial Intelligence and Otorhinolaryngology, having authored 20 papers that have together received 525 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (12 papers), Global Cancer Incidence and Screening (3 papers), AI in cancer detection (2 papers), Head and Neck Cancer Studies (1 paper), NF-κB Signaling Pathways (1 paper), Lung Cancer Research Studies (1 paper), Spider Taxonomy and Behavior Studies (1 paper) and Respiratory Support and Mechanisms (1 paper). The work is most often cited by research in Epidemiology (320 citations), Oncology (92 citations), Obstetrics and Gynecology (24 citations), Surgery (86 citations) and Artificial Intelligence (63 citations). William D. Tench has collaborated with scholars based in United States, United Arab Emirates and United Kingdom. Frequent co-authors include David C. Wilbur, Ann Moriarty, Lisa A. Fatheree, Rhona J. Souers, Amy C. Clayton, Michael Henry, Mary R. Schwartz, Mary R. Schwartz, W. Stephen Black‐Schaffer and Ronald D. Luff. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Acta Cytologica, Frontiers in Immunology, Radiology and Human Pathology.
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.