William T. Moss

60 total papers · 1.0k total citations
44 papers, 758 citations indexed

About

William T. Moss is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, William T. Moss has authored 44 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Surgery and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in William T. Moss's work include Radiation Dose and Imaging (7 papers), Advances in Oncology and Radiotherapy (6 papers) and Head and Neck Cancer Studies (5 papers). William T. Moss is often cited by papers focused on Radiation Dose and Imaging (7 papers), Advances in Oncology and Radiotherapy (6 papers) and Head and Neck Cancer Studies (5 papers). William T. Moss collaborates with scholars based in United States and Italy. William T. Moss's co-authors include Kenneth R. Stevens, Vaneerat Ratanatharathorn, Carlos A. Perez, Francis J. Haddy, James D. Cox, A. Brownlee, James D. Gagnon, Daphne Tong, John T. Grayhack and James M. Holland and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Cancer.

In The Last Decade

William T. Moss

43 papers receiving 649 citations

Author Peers

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

Author Last Decade Papers Cites
William T. Moss 328 254 213 188 142 44 758
S. Servagi-Vernat 219 0.7× 201 0.8× 201 0.9× 110 0.6× 161 1.1× 54 642
Matthew Beasley 337 1.0× 272 1.1× 148 0.7× 378 2.0× 106 0.7× 44 686
Diane C. Ling 318 1.0× 237 0.9× 205 1.0× 278 1.5× 97 0.7× 46 721
S. Bourdin 264 0.8× 432 1.7× 325 1.5× 213 1.1× 197 1.4× 40 886
Heerim Nam 344 1.0× 293 1.2× 264 1.2× 84 0.4× 142 1.0× 36 716
Hale Başak Çağlar 174 0.5× 462 1.8× 195 0.9× 194 1.0× 159 1.1× 41 780
Emmanuelle Tresch 213 0.6× 312 1.2× 173 0.8× 116 0.6× 113 0.8× 45 627
T.D. Nguyen 194 0.6× 420 1.7× 367 1.7× 130 0.7× 163 1.1× 24 778
S. Racadot 368 1.1× 326 1.3× 285 1.3× 425 2.3× 95 0.7× 70 844
Li‐Min Sun 279 0.9× 180 0.7× 255 1.2× 134 0.7× 120 0.8× 45 851

Countries citing papers authored by William T. Moss

Since Specialization
Citations

This map shows the geographic impact of William T. Moss'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 William T. Moss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William T. Moss more than expected).

Fields of papers citing papers by William T. Moss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William T. Moss. 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 William T. Moss. The network helps show where William T. Moss may publish in the future.

Co-authorship network of co-authors of William T. Moss

This figure shows the co-authorship network connecting the top 25 collaborators of William T. Moss. A scholar is included among the top collaborators of William T. Moss 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 William T. Moss. William T. Moss 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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