Mote Mitchell

76 papers receiving 3.5k citations

Peers

Mote Mitchell
Comparison fields: 5 of 140
  • Biophysics 693
  • Obstetrics and Gynecology 351
  • Analytical Chemistry 409
  • Epidemiology 1.4k
  • Reproductive Medicine 305
Replace C. Simon Herrington with:
C. Simon Herrington United Kingdom
Jeffrey Low Singapore
Lars‐Christian Horn Germany
Mai P. Hoang United States
George L. Wright United States
Brian D. Tait Australia
Mehrdad Nadji United States
Terence J. Colgan Canada
Jean‐Luc Teillaud France
Thomas A. Godwin United States
Mote Mitchell relative to C. Simon Herrington United Kingdom C. Simon Herrington's profile →
Citations per field
00.5×1.5×
C. Simon Herrington · 1×
Citations per year

Countries citing papers authored by Mote Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Mote Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998276
2 1998223
3 1994205
4 1999203
5 1996186
6 1997183
7 1998177
8 1998144
9 1994137
10 1999114
11 1996112
12 1996109
13 199894
14 199989
15
Adenovirus-mediated transfer of a wild-type p53 gene and induction of apoptosis in cervical cancer.
199689
16 199388
17 199362
18 199558
19 199656
20 199254

About Mote Mitchell

Mote Mitchell is a scholar working on Epidemiology, Molecular Biology, Surgery, Obstetrics and Gynecology and Oncology, having authored 77 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (33 papers), Endometrial and Cervical Cancer Treatments (12 papers), Ovarian cancer diagnosis and treatment (9 papers), Optical Imaging and Spectroscopy Techniques (9 papers), Photodynamic Therapy Research Studies (7 papers), Virus-based gene therapy research (6 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers) and Reproductive tract infections research (5 papers). The work is most often cited by research in Biophysics (693 citations), Obstetrics and Gynecology (351 citations), Analytical Chemistry (409 citations), Epidemiology (1.4k citations) and Reproductive Medicine (305 citations). Mote Mitchell has collaborated with scholars based in United States, Myanmar and Canada. Frequent co-authors include Rebecca Richards‐Kortum, Nirmala Ramanujam, Anita Mahadevan, Guillermo Tortolero‐Luna, Anita Mahadevan‐Jansen, Urs Utzinger, Anaís Malpica, Sharon Thomsen, Sharon Thomsen and Waun Ki Hong. Their work appears in journals such as Lasers in Surgery and Medicine, Obstetrics and Gynecology, Journal of Cellular Biochemistry, Gynecologic Oncology and Cancer.

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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