Casey W. Williamson

82 total papers · 1.4k total citations
30 papers, 917 citations indexed

About

Casey W. Williamson is a scholar working on Surgery, Obstetrics and Gynecology and Epidemiology. According to data from OpenAlex, Casey W. Williamson has authored 30 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 15 papers in Obstetrics and Gynecology and 10 papers in Epidemiology. Recurrent topics in Casey W. Williamson's work include Endometrial and Cervical Cancer Treatments (15 papers), Management of metastatic bone disease (8 papers) and Cervical Cancer and HPV Research (8 papers). Casey W. Williamson is often cited by papers focused on Endometrial and Cervical Cancer Treatments (15 papers), Management of metastatic bone disease (8 papers) and Cervical Cancer and HPV Research (8 papers). Casey W. Williamson collaborates with scholars based in United States, India and Czechia. Casey W. Williamson's co-authors include Dana T. Aftab, Weon‐Kyoo You, Barbara Sennino, Donald M. McDonald, Loren K. Mell, Jyoti Mayadev, Sébastien P. Tabruyn, Ying Wei, Harold A. Chapman and James G. Christensen and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Cancer Research.

In The Last Decade

Casey W. Williamson

29 papers receiving 904 citations

Author Peers

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

Author Last Decade Papers Cites
Casey W. Williamson 373 301 202 184 161 30 917
Antonio Febbraro 647 1.7× 249 0.8× 314 1.6× 241 1.3× 77 0.5× 56 1.2k
J. Lacava 630 1.7× 226 0.8× 184 0.9× 304 1.7× 149 0.9× 31 1.2k
Pierre‐Alexandre Just 268 0.7× 412 1.4× 276 1.4× 220 1.2× 58 0.4× 45 1.1k
Shalini Singh 658 1.8× 274 0.9× 369 1.8× 211 1.1× 189 1.2× 38 1.1k
James L. Freddo 396 1.1× 563 1.9× 568 2.8× 294 1.6× 133 0.8× 27 1.2k
Paola Bossi 461 1.2× 351 1.2× 159 0.8× 186 1.0× 171 1.1× 30 1.0k
Darren Riehle 292 0.8× 315 1.0× 359 1.8× 224 1.2× 136 0.8× 27 1.2k
TG Cooke 451 1.2× 120 0.4× 146 0.7× 185 1.0× 77 0.5× 35 884
M. Machiavelli 761 2.0× 107 0.4× 256 1.3× 229 1.2× 68 0.4× 32 1.0k
D Atlan 597 1.6× 177 0.6× 205 1.0× 104 0.6× 94 0.6× 27 996

Countries citing papers authored by Casey W. Williamson

Since Specialization
Citations

This map shows the geographic impact of Casey W. Williamson'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 Casey W. Williamson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey W. Williamson more than expected).

Fields of papers citing papers by Casey W. Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey W. Williamson. 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 Casey W. Williamson. The network helps show where Casey W. Williamson may publish in the future.

Co-authorship network of co-authors of Casey W. Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Casey W. Williamson. A scholar is included among the top collaborators of Casey W. Williamson 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 Casey W. Williamson. Casey W. Williamson 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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