James S Chalfant

21 total papers · 713 total citations
18 papers, 522 citations indexed

About

James S Chalfant is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Surgery. According to data from OpenAlex, James S Chalfant has authored 18 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Oncology and 6 papers in Surgery. Recurrent topics in James S Chalfant's work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Global Cancer Incidence and Screening (4 papers). James S Chalfant is often cited by papers focused on AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Global Cancer Incidence and Screening (4 papers). James S Chalfant collaborates with scholars based in United States and Cameroon. James S Chalfant's co-authors include Vicente Gilsanz, Frederick J. Dorey, Ashley O. Mo, David C. Lee, Steven D. Mittelman, Cyrus Bateni, Lawrence Yao, Robert D. Boutin, Sharon E. Oberfield and Joan M. Lappe and has published in prestigious journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and JNCI Journal of the National Cancer Institute.

In The Last Decade

James S Chalfant

16 papers receiving 509 citations

Author Peers

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

Author						Papers	Cites
James S Chalfant	262	218	112	70	63	18	522
David Pye	368 1.4×	217 1.0×	121 1.1×	43 0.6×	58 0.9×	15	583
Catherine Shore‐Lorenti	183 0.7×	191 0.9×	147 1.3×	66 0.9×	45 0.7×	21	505
Ashley O. Mo	320 1.2×	213 1.0×	94 0.8×	84 1.2×	72 1.1×	12	614
Vera Lúcia Szejnfeld	266 1.0×	122 0.6×	123 1.1×	44 0.6×	75 1.2×	18	500
Anouar Benmalek	198 0.8×	106 0.5×	124 1.1×	61 0.9×	53 0.8×	16	540
Danila Diano	151 0.6×	174 0.8×	107 1.0×	76 1.1×	87 1.4×	25	467
Giorgio Gandolini	291 1.1×	74 0.3×	105 0.9×	81 1.2×	122 1.9×	18	523
S.P. Stewart	141 0.5×	185 0.8×	97 0.9×	43 0.6×	47 0.7×	22	457
Francesco Pio Cafarelli	107 0.4×	147 0.7×	113 1.0×	36 0.5×	62 1.0×	28	474
Jian Zhao	269 1.0×	109 0.5×	166 1.5×	19 0.3×	52 0.8×	31	557

Countries citing papers authored by James S Chalfant

Since Specialization

Citations

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

Fields of papers citing papers by James S Chalfant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James S Chalfant. 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 James S Chalfant. The network helps show where James S Chalfant may publish in the future.

Co-authorship network of co-authors of James S Chalfant

This figure shows the co-authorship network connecting the top 25 collaborators of James S Chalfant. A scholar is included among the top collaborators of James S Chalfant 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 James S Chalfant. James S Chalfant 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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