Robert Dood

68 total papers · 1.1k total citations
20 papers, 263 citations indexed

About

Robert Dood is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Oncology. According to data from OpenAlex, Robert Dood has authored 20 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Obstetrics and Gynecology, 8 papers in Reproductive Medicine and 5 papers in Oncology. Recurrent topics in Robert Dood's work include Endometrial and Cervical Cancer Treatments (7 papers), Ovarian cancer diagnosis and treatment (6 papers) and Uterine Myomas and Treatments (3 papers). Robert Dood is often cited by papers focused on Endometrial and Cervical Cancer Treatments (7 papers), Ovarian cancer diagnosis and treatment (6 papers) and Uterine Myomas and Treatments (3 papers). Robert Dood collaborates with scholars based in United States, China and United Kingdom. Robert Dood's co-authors include Anil K. Sood, Robert Tibshirani, Marta Sans, Lívia S. Eberlin, Kshipra M. Gharpure, Jialing Zhang, Liang Li, Jinsong Liu, Jonathan H. Young and Robert L. Coleman and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Scientific Reports.

In The Last Decade

Robert Dood

18 papers receiving 263 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert Dood 88 71 65 62 61 20 263
Chunqin Pan 153 1.7× 54 0.8× 24 0.4× 35 0.6× 22 0.4× 14 274
Emmanuelle Malaurie 78 0.9× 21 0.3× 22 0.3× 76 1.2× 55 0.9× 15 199
Teresa C. Longoria 48 0.5× 9 0.1× 86 1.3× 166 2.7× 89 1.5× 14 306
Katerina Kubelka‐Sabit 92 1.0× 17 0.2× 9 0.1× 20 0.3× 34 0.6× 21 183
David L. Phelps 146 1.7× 106 1.5× 9 0.1× 56 0.9× 33 0.5× 14 292
E.A. Dubil 72 0.8× 5 0.1× 121 1.9× 44 0.7× 52 0.9× 12 240
Shuangwei Zou 153 1.7× 6 0.1× 106 1.6× 52 0.8× 29 0.5× 20 297
Jeremy Ford 118 1.3× 104 1.5× 9 0.1× 39 0.6× 22 0.4× 11 246
Maria Lycke 90 1.0× 45 0.6× 49 0.8× 29 0.5× 144 2.4× 12 273
Renzo Grattarola 27 0.3× 8 0.1× 23 0.4× 122 2.0× 68 1.1× 32 318

Countries citing papers authored by Robert Dood

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Robert Dood

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Dood. A scholar is included among the top collaborators of Robert Dood based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert Dood. Robert Dood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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