Carlynn Willmore‐Payne

31 total papers · 1.1k total citations
30 papers, 832 citations indexed

About

Carlynn Willmore‐Payne is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Carlynn Willmore‐Payne has authored 30 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 12 papers in Molecular Biology and 11 papers in Oncology. Recurrent topics in Carlynn Willmore‐Payne's work include Gastrointestinal Tumor Research and Treatment (8 papers), HER2/EGFR in Cancer Research (6 papers) and Sarcoma Diagnosis and Treatment (6 papers). Carlynn Willmore‐Payne is often cited by papers focused on Gastrointestinal Tumor Research and Treatment (8 papers), HER2/EGFR in Cancer Research (6 papers) and Sarcoma Diagnosis and Treatment (6 papers). Carlynn Willmore‐Payne collaborates with scholars based in United States. Carlynn Willmore‐Payne's co-authors include Lester J. Layfield, Joseph A. Holden, Sheryl R. Tripp, Barbara Chadwick, Joel S. Bentz, G. Denice Smith, Sharon L. Hirschowitz, Jessica Comstock, Cheryl M. Coffin and Alan D. Proia and has published in prestigious journals such as Cancer, Journal of Clinical Pathology and Human Pathology.

In The Last Decade

Carlynn Willmore‐Payne

30 papers receiving 820 citations

Author Peers

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

Author Last Decade Papers Cites
Carlynn Willmore‐Payne 415 361 329 196 145 30 832
I. Bazin 420 1.0× 287 0.8× 370 1.1× 330 1.7× 193 1.3× 29 962
Soo Kyung Nam 388 0.9× 345 1.0× 312 0.9× 265 1.4× 114 0.8× 47 857
Chin‐Tung Chen 572 1.4× 386 1.1× 259 0.8× 152 0.8× 132 0.9× 22 987
C Sakakura 267 0.6× 354 1.0× 308 0.9× 115 0.6× 363 2.5× 28 983
Motokazu Suyama 487 1.2× 433 1.2× 258 0.8× 208 1.1× 119 0.8× 31 954
Lars Tharun 432 1.0× 465 1.3× 238 0.7× 178 0.9× 139 1.0× 40 956
José Ponce 640 1.5× 254 0.7× 176 0.5× 298 1.5× 216 1.5× 26 957
Ewa Matczak 295 0.7× 282 0.8× 383 1.2× 147 0.8× 81 0.6× 24 863
Matthew D. Stachler 316 0.8× 337 0.9× 289 0.9× 95 0.5× 337 2.3× 38 894
Marco Losa 456 1.1× 332 0.9× 242 0.7× 153 0.8× 106 0.7× 20 804

Countries citing papers authored by Carlynn Willmore‐Payne

Since Specialization
Citations

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

Fields of papers citing papers by Carlynn Willmore‐Payne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlynn Willmore‐Payne. 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 Carlynn Willmore‐Payne. The network helps show where Carlynn Willmore‐Payne may publish in the future.

Co-authorship network of co-authors of Carlynn Willmore‐Payne

This figure shows the co-authorship network connecting the top 25 collaborators of Carlynn Willmore‐Payne. A scholar is included among the top collaborators of Carlynn Willmore‐Payne 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 Carlynn Willmore‐Payne. Carlynn Willmore‐Payne 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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2026