Thomas G. Day
Impact in
- Reproductive Medicine top 2%
- Ovarian cancer diagnosis and treatment
- Obstetrics and Gynecology top 2%
- Endometrial and Cervical Cancer Treatments
Papers in
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- Artificial Intelligence in Healthcare and Education 7
-
- Ovarian cancer diagnosis and treatment 7
- Co-authors
- Gordon R. TobinJulian P. SmithJan‐Peter MüllerJohn SimpsonChandana Venkateswara RaoJ. Andrew CarlsonZhenmin LeiJames L. Wittliff
- Journals
- Gynecologic Oncology (9 papers)American Journal of Obstetrics and Gynecology (5 papers)Prenatal Diagnosis (3 papers)The Journal of Clinical Endocrinology & Metabolism (3 papers)Ultrasound in Obstetrics and Gynecology (3 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Thomas G. Day
64 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 116
- Reproductive Medicine 294
- Obstetrics and Gynecology 263
- Health Informatics 24
- Hematology 140
- Genetics 106
Countries citing papers authored by Thomas G. Day
This map shows the geographic impact of Thomas G. Day'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 Thomas G. Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas G. Day more than expected).
Fields of papers citing papers by Thomas G. Day
This network shows the impact of papers produced by Thomas G. Day. 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 Thomas G. Day. The network helps show where Thomas G. Day may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas G. Day, 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 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 1 | |
| 4 | 2020 | 33 | |
| 5 | 2019 | 3 | |
| 6 | 2017 | 15 | |
| 7 | 2015 | 2 | |
| 8 | 2012 | 3 | |
| 9 | 2012 | 4 | |
| 10 | 2011 | 9 | |
| 11 | 2008 | 34 | |
| 12 | 2008 | 53 | |
| 13 | 1994 | 83 | |
| 14 | TOPOGRAPHY OF APOLLINARIS-PATERA AND MAADIM-VALLIS - AUTOMATED EXTRACTION OF DIGITAL ELEVATION MODELS | 1993 | 2 |
| 15 | 1990 | 44 | |
| 16 | 1989 | 30 | |
| 17 | Visualisation Of Topographic Data Using Video Animation | 1988 | 5 |
| 18 | QUALITY ASSESSMENT OF DIGITAL ELEVATION MODELS PRODUCED BY AUTOMATIC STEREOMATCHERS FROM SPOT IMAGE PAIRS | 1988 | 3 |
| 19 | 1988 | 151 | |
| 20 | 1986 | 0 |
About Thomas G. Day
Thomas G. Day is a scholar working on Health Informatics, Reproductive Medicine, Obstetrics and Gynecology, Geology and Hematology, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (13 papers), Ovarian cancer diagnosis and treatment (7 papers), Artificial Intelligence in Healthcare and Education (7 papers), Cardiac Structural Anomalies and Repair (4 papers), Cervical Cancer and HPV Research (4 papers), Fetal and Pediatric Neurological Disorders (4 papers), Endometrial and Cervical Cancer Treatments (4 papers) and Satellite Image Processing and Photogrammetry (4 papers). The work is most often cited by research in Reproductive Medicine (294 citations), Obstetrics and Gynecology (263 citations), Health Informatics (24 citations), Hematology (140 citations) and Genetics (106 citations). Thomas G. Day has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Gordon R. Tobin, Julian P. Smith, Jan‐Peter Müller, John Simpson, Chandana Venkateswara Rao, J. Andrew Carlson, Zhenmin Lei, James L. Wittliff, Emma Drašar and S L Thein. Their work appears in journals such as Gynecologic Oncology, American Journal of Obstetrics and Gynecology, Prenatal Diagnosis, The Journal of Clinical Endocrinology & Metabolism and Ultrasound in Obstetrics and Gynecology.
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.