Lisa D. White
- Reproductive Medicine top 2%
- Genetics top 5%
- Genomic variations and chromosomal abnormalities 5
- Estrogen and related hormone effects 5
- Genetics top 5%
- Genomic variations and chromosomal abnormalities 5
- Estrogen and related hormone effects 5
- Immunology top 5%
- Reproductive System and Pregnancy 7
- Obstetrics and Gynecology top 5%
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- Paleontology and Stratigraphy of Fossils 6
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- Geology and Paleoclimatology Research 6
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- Career Development and Diversity 5
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- Genetics, Bioinformatics, and Biomedical Research 4
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- Research Data Management Practices 4
- Co-authors
- Francesco J. DeMayoJoAnne S. RichardsJae‐Wook JeongKevin Y. LeeJohn P. LydonTerence H. RabbittsThomas BoehmChad A. Shaw
- Cited by
- Reproductive MedicineGenetics
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Lisa D. White
55 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 148
- Reproductive Medicine 348
- Genetics 645
- Genetics 237
- Immunology 427
- Obstetrics and Gynecology 117
Countries citing papers authored by Lisa D. White
This map shows the geographic impact of Lisa D. White'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 Lisa D. White with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa D. White more than expected).
Fields of papers citing papers by Lisa D. White
This network shows the impact of papers produced by Lisa D. White. 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 Lisa D. White. The network helps show where Lisa D. White may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lisa D. White, 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 | 2023 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2020 | 2 | |
| 6 | 2019 | 5 | |
| 7 | 2019 | 15 | |
| 8 | 2018 | 12 | |
| 9 | 2012 | 26 | |
| 10 | 2010 | 51 | |
| 11 | 2008 | 64 | |
| 12 | 2008 | 51 | |
| 13 | 2006 | 264 | |
| 14 | 2006 | 211 | |
| 15 | 2005 | 132 | |
| 16 | 2003 | 8 | |
| 17 | 1998 | 13 | |
| 18 | 1996 | 6 | |
| 19 | 1996 | 18 | |
| 20 | 1992 | 97 |
About Lisa D. White
Lisa D. White is a scholar working on Paleontology, Safety Research and Information Systems and Management, having authored 58 papers that have together received 2.3k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (7 papers), Paleontology and Stratigraphy of Fossils (6 papers), Geology and Paleoclimatology Research (6 papers), Career Development and Diversity (5 papers), Genomic variations and chromosomal abnormalities (5 papers), Estrogen and related hormone effects (5 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers) and Research Data Management Practices (4 papers). The work is most often cited by research in Reproductive Medicine (348 citations), Genetics (645 citations) and Genetics (237 citations). Lisa D. White has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Francesco J. DeMayo, JoAnne S. Richards, Jae‐Wook Jeong, Kevin Y. Lee, John P. Lydon, Terence H. Rabbitts, Thomas Boehm, Chad A. Shaw, Ignacio González and Masayuki Shimada. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.