L Vaught
Impact in
- Epidemiology top 10%
- Cervical Cancer and HPV Research
- Nonmelanoma Skin Cancer Studies
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- Cell Image Analysis Techniques
Papers in
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- AI in cancer detection 5
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- Cervical Cancer and HPV Research 2
- Nonmelanoma Skin Cancer Studies 2
- Co-authors
- Mary R. Papenfuss (2 shared papers)Anna R. Giuliano (2 shared papers)Danelle R. Wallace (2 shared papers)Martha E. Abrahamsen (2 shared papers)Susie B. Baldwin (2 shared papers)Hubert G. Bartels (4 shared papers)Rodolfo Montironi (3 shared papers)Janet R. Kornegay (1 shared paper)
- Journals
- Blood (1 paper)European Urology (1 paper)The Journal of Infectious Diseases (1 paper)Sexually Transmitted Diseases (1 paper)PubMed (5 papers)
- Partner nations
- United StatesBrazilItaly
In The Last Decade
L Vaught
9 papers receiving 311 citations
Peers
Comparison fields: 5 of 31
- Epidemiology 176
- Biophysics 20
- Surgery 59
- Artificial Intelligence 48
- Otorhinolaryngology 7
Countries citing papers authored by L Vaught
This map shows the geographic impact of L Vaught'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 L Vaught with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L Vaught more than expected).
Fields of papers citing papers by L Vaught
This network shows the impact of papers produced by L Vaught. 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 L Vaught. The network helps show where L Vaught may publish in the future.
Co-authors
The 22 scholars most cited alongside L Vaught, 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 | 2004 | 107 | |
| 2 | 2003 | 104 | |
| 3 | Nuclear chromatin texture in prostatic lesions. II. PIN and malignancy associated changes. | 1998 | 35 |
| 4 | Nuclear chromatin texture in prostatic lesions. I. PIN and adenocarcinoma. | 1998 | 27 |
| 5 | 1999 | 17 | |
| 6 | Measurement of chemopreventive efficacy in skin biopsies. | 2001 | 14 |
| 7 | 1978 | 13 | |
| 8 | Nuclear morphometry in solar keratosis. | 1998 | 8 |
| 9 | Progress in the classification of hematological neoplasms. From REAL to WHO concept | 2000 | 3 |
About L Vaught
L Vaught is a scholar working on Artificial Intelligence, Epidemiology, Radiology, Nuclear Medicine and Imaging, Biophysics and Dermatology, having authored 9 papers that have together received 328 indexed citations. Recurring topics across this work include AI in cancer detection (5 papers), Cervical Cancer and HPV Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Nonmelanoma Skin Cancer Studies (2 papers), Skin Protection and Aging (1 paper), Genital Health and Disease (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Epidemiology (176 citations), Biophysics (20 citations), Surgery (59 citations), Artificial Intelligence (48 citations) and Otorhinolaryngology (7 citations). L Vaught has collaborated with scholars based in United States, Brazil and Italy. Frequent co-authors include Mary R. Papenfuss, Anna R. Giuliano, Danelle R. Wallace, Martha E. Abrahamsen, Susie B. Baldwin, Hubert G. Bartels, Rodolfo Montironi, Janet R. Kornegay, P H Bartels and D Thompson. Their work appears in journals such as Blood, European Urology, The Journal of Infectious Diseases, Sexually Transmitted Diseases and PubMed.
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.