Robert Dood
Impact in
- Obstetrics and Gynecology top 10%
- Endometrial and Cervical Cancer Treatments
- Uterine Myomas and Treatments
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment
Papers in
-
- Ovarian cancer diagnosis and treatment 4
- Oncology 4
- Co-authors
- Anil K. Sood (12 shared papers)Marta Sans (1 shared paper)Lívia S. Eberlin (1 shared paper)Jonathan H. Young (1 shared paper)Jialing Zhang (1 shared paper)Liang Li (1 shared paper)Kshipra M. Gharpure (1 shared paper)Robert Tibshirani (1 shared paper)
- Journals
- Gynecologic Oncology (7 papers)International Journal of Gynecological Cancer (2 papers)Scientific Reports (2 papers)Journal of Clinical Oncology (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesGermanySouth Africa
In The Last Decade
Robert Dood
20 papers receiving 287 citations
Peers
Comparison fields: 5 of 60
- Obstetrics and Gynecology 55
- Reproductive Medicine 43
- Spectroscopy 73
- Oncology 56
- Cancer Research 27
Countries citing papers authored by Robert Dood
This map shows the geographic impact of Robert Dood'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 Robert Dood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Dood more than expected).
Fields of papers citing papers by Robert Dood
This network shows the impact of papers produced by Robert Dood. 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 Robert Dood. The network helps show where Robert Dood may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Dood, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 101 | |
| 2 | 2018 | 37 | |
| 3 | 2021 | 28 | |
| 4 | 2021 | 26 | |
| 5 | 2014 | 24 | |
| 6 | 2022 | 24 | |
| 7 | 2019 | 17 | |
| 8 | 2021 | 13 | |
| 9 | 2018 | 3 | |
| 10 | 2017 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2017 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2017 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 2020 | 1 |
About Robert Dood
Robert Dood is a scholar working on Reproductive Medicine, Oncology, Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 288 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (4 papers), Endometrial and Cervical Cancer Treatments (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Immune cells in cancer (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Obstetrics and Gynecology (55 citations), Reproductive Medicine (43 citations), Spectroscopy (73 citations), Oncology (56 citations) and Cancer Research (27 citations). Robert Dood has collaborated with scholars based in United States, Germany and South Africa. Frequent co-authors include Anil K. Sood, Marta Sans, Lívia S. Eberlin, Jonathan H. Young, Jialing Zhang, Liang Li, Kshipra M. Gharpure, Robert Tibshirani, Jinsong Liu and Robert L. Coleman. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecological Cancer, Scientific Reports, Journal of Clinical Oncology and Cancer Research.
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.