James S Chalfant

721 total citations
18 papers, 527 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 527 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, David C. Lee, Steven D. Mittelman, Ashley O. Mo, Frederick J. Dorey, Robert D. Boutin, Cyrus Bateni, Lawrence Yao, Karen K. Winer and Babette S. Zemel 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 514 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James S Chalfant United States 7 262 218 113 71 63 18 527
Anouar Benmalek France 10 200 0.8× 107 0.5× 128 1.1× 61 0.9× 52 0.8× 16 544
Friederike Thomasius Germany 12 449 1.7× 104 0.5× 153 1.4× 64 0.9× 187 3.0× 47 617
Maria Pilar Aparisi Gómez New Zealand 11 148 0.6× 195 0.9× 104 0.9× 40 0.6× 27 0.4× 51 465
D.O. Slosman Switzerland 15 403 1.5× 214 1.0× 192 1.7× 46 0.6× 138 2.2× 29 744
Giorgio Gandolini Italy 12 292 1.1× 74 0.3× 107 0.9× 80 1.1× 121 1.9× 18 524
Guanglin Wu United States 9 451 1.7× 288 1.3× 245 2.2× 68 1.0× 110 1.7× 18 727
Palak Choksi United States 10 146 0.6× 89 0.4× 113 1.0× 46 0.6× 117 1.9× 23 504
Lisa Johansson Sweden 11 289 1.1× 58 0.3× 178 1.6× 51 0.7× 90 1.4× 27 465
Mariana Bucovsky United States 13 323 1.2× 146 0.7× 185 1.6× 48 0.7× 150 2.4× 37 659
Cristina Carbonell-Abella Spain 8 329 1.3× 95 0.4× 217 1.9× 69 1.0× 124 2.0× 19 496

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

18 of 18 papers shown
1.
Chalfant, James S, et al.. (2025). Breast Cancer Screening and Solid Organ Transplantation. Journal of Breast Imaging. 7(5). 513–519. 1 indexed citations
2.
Chalfant, James S, Lucy Chow, Christopher Sears, et al.. (2025). Mammographic classification of interval breast cancers and artificial intelligence performance. JNCI Journal of the National Cancer Institute. 117(8). 1627–1638. 5 indexed citations
3.
Sears, Christopher, et al.. (2025). Commercial Artificial Intelligence Versus Radiologists: NPV and Recall Rate in Large Population-Based Digital Mammography and Tomosynthesis Screening Mammography Cohorts. American Journal of Roentgenology. 225(6). e2532889–e2532889. 2 indexed citations
4.
Nguyen, Hillary Brenda, et al.. (2025). Artificial Intelligence Versus Radiologist False-Positives on Digital Breast Tomosynthesis Examinations in a Population-Based Screening Program. American Journal of Roentgenology. 226(1). e2533412–e2533412.
5.
Sears, Christopher, et al.. (2024). External Validation of a Commercial Artificial Intelligence Algorithm on a Diverse Population for Detection of False Negative Breast Cancers. Journal of Breast Imaging. 7(1). 16–26. 3 indexed citations
6.
Chalfant, James S, et al.. (2022). Breast Density: Current Knowledge, Assessment Methods, and Clinical Implications. Journal of Breast Imaging. 4(4). 357–370. 15 indexed citations
7.
Kothari, D. P., Joseph Tseng, James S Chalfant, et al.. (2022). Breast Density Legislation Impact on Breast Cancer Screening and Risk Assessment. Journal of Breast Imaging. 4(4). 371–377. 2 indexed citations
8.
Chalfant, James S, Alice Chong, Lars J. Grimm, et al.. (2021). Impact of the COVID-19 Pandemic on Breast Imaging Education. Journal of Breast Imaging. 3(3). 354–362. 6 indexed citations
9.
Chalfant, James S, et al.. (2021). Background Parenchymal Enhancement on Breast MRI: Assessment and Clinical Implications. Current Radiology Reports. 9(10). 6 indexed citations
10.
Chalfant, James S, Jessica W. T. Leung, John Downey, et al.. (2021). Adaptations of Breast Imaging Centers to the COVID-19 Pandemic: A Survey of California and Texas. Journal of Breast Imaging. 3(3). 343–353.
11.
Chalfant, James S, et al.. (2019). Incidentally detected biliary ductal dilatation on contrast-enhanced CT: what is the incidence of occult obstructing malignancy?. Abdominal Radiology. 44(12). 4022–4027. 4 indexed citations
12.
Corwin, Michael T., James S Chalfant, Thomas W. Loehfelm, et al.. (2018). Incidentally Detected Bilateral Adrenal Nodules in Patients Without Cancer: Is Further Workup Necessary?. American Journal of Roentgenology. 210(4). 780–784. 9 indexed citations
13.
Chalfant, James S & Thomas Ray S. Sanchez. (2017). Congenital Clavicular Pseudoarthosis—How to Differentiate It From the More Common Clavicular Fractures. Pediatric Emergency Care. 35(2). e37–e39. 7 indexed citations
14.
Boutin, Robert D., et al.. (2016). Influence of IV Contrast Administration on CT Measures of Muscle and Bone Attenuation: Implications for Sarcopenia and Osteoporosis Evaluation. American Journal of Roentgenology. 207(5). 1046–1054. 74 indexed citations
15.
Chalfant, James S, Michelle L. Smith, Peng Hu, et al.. (2012). Inverse association between brown adipose tissue activation and white adipose tissue accumulation in successfully treated pediatric malignancy. American Journal of Clinical Nutrition. 95(5). 1144–1149. 23 indexed citations
16.
Gilsanz, Vicente, James S Chalfant, Heidi J. Kalkwarf, et al.. (2010). Age at Onset of Puberty Predicts Bone Mass in Young Adulthood. The Journal of Pediatrics. 158(1). 100–105.e2. 98 indexed citations
17.
Gilsanz, Vicente, James S Chalfant, Ashley O. Mo, et al.. (2010). Reciprocal Relations of Subcutaneous and Visceral Fat to Bone Structure and Strength. Obstetrical & Gynecological Survey. 65(2). 103–104. 2 indexed citations
18.
Gilsanz, Vicente, James S Chalfant, Ashley O. Mo, et al.. (2009). Reciprocal Relations of Subcutaneous and Visceral Fat to Bone Structure and Strength. The Journal of Clinical Endocrinology & Metabolism. 94(9). 3387–3393. 270 indexed citations

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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