Daiva Bajorunas
- Reproductive Medicine top 5%
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- Diabetes Treatment and Management 5
- Pituitary Gland Disorders and Treatments 3
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Surgery top 10%
- Lipoproteins and Cardiovascular Health 4
- Testicular diseases and treatments 4
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research 3
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- Neuroendocrine Tumor Research Advances 3
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- Cancer, Lipids, and Metabolism 3
- Co-authors
- K. McdermottJoseph G. FortnerCarolyn M. DreslerMichael H. DavidsonRichard H. KarasL KellerGeorge J. BoslPeter W. T. Pisters
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
Daiva Bajorunas
35 papers receiving 978 citations
Peers
Comparison fields: 5 of 77
- Reproductive Medicine 142
- Endocrinology, Diabetes and Metabolism 233
- Surgery 507
- Oncology 305
- Microbiology 4
Countries citing papers authored by Daiva Bajorunas
This map shows the geographic impact of Daiva Bajorunas'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 Daiva Bajorunas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiva Bajorunas more than expected).
Fields of papers citing papers by Daiva Bajorunas
This network shows the impact of papers produced by Daiva Bajorunas. 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 Daiva Bajorunas. The network helps show where Daiva Bajorunas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daiva Bajorunas, 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 | 2021 | 8 | |
| 2 | 2020 | 2 | |
| 3 | 2008 | 36 | |
| 4 | 2008 | 77 | |
| 5 | 2008 | 46 | |
| 6 | 2008 | 1 | |
| 7 | 1997 | 28 | |
| 8 | 1995 | 7 | |
| 9 | 1992 | 23 | |
| 10 | 1991 | 141 | |
| 11 | 1991 | 94 | |
| 12 | 1990 | 6 | |
| 13 | 1988 | 40 | |
| 14 | 1987 | 8 | |
| 15 | 1987 | 60 | |
| 16 | 1986 | 53 | |
| 17 | 1986 | 14 | |
| 18 | Virilizing hilus (Leydig) cell tumor of the ovary: the challenge of an accurate preoperative diagnosis. | 1983 | 7 |
| 19 | 1981 | 27 | |
| 20 | 1980 | 15 |
About Daiva Bajorunas
Daiva Bajorunas is a scholar working on Microbiology, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (5 papers), Lipoproteins and Cardiovascular Health (4 papers), Testicular diseases and treatments (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Cancer, Lipids, and Metabolism (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Reproductive Medicine (142 citations), Endocrinology, Diabetes and Metabolism (233 citations) and Surgery (507 citations). Daiva Bajorunas has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include K. Mcdermott, Joseph G. Fortner, Carolyn M. Dresler, Michael H. Davidson, Richard H. Karas, L Keller, George J. Bosl, Peter W. T. Pisters, Gene R. Pesola and Eugênio Cersósimo. Their work appears in journals such as Cancer, Diabetes, Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Journal of clinical lipidology.
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.