Benjamin C. Calhoun

2.6k total citations
72 papers, 1.3k citations indexed

About

Benjamin C. Calhoun is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Benjamin C. Calhoun has authored 72 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cancer Research, 28 papers in Oncology and 27 papers in Pathology and Forensic Medicine. Recurrent topics in Benjamin C. Calhoun's work include Breast Cancer Treatment Studies (27 papers), Breast Lesions and Carcinomas (24 papers) and Cancer and Skin Lesions (16 papers). Benjamin C. Calhoun is often cited by papers focused on Breast Cancer Treatment Studies (27 papers), Breast Lesions and Carcinomas (24 papers) and Cancer and Skin Lesions (16 papers). Benjamin C. Calhoun collaborates with scholars based in United States, South Korea and Australia. Benjamin C. Calhoun's co-authors include James R. Goldenring, Laura C. Collins, Charles D. Sturgis, Lynne A. Lapierre, Stephen R. Grobmyer, Jenny C. Chang, William P. Schiemann, Arishya Sharma, Alexandru Almasan and Catherine S. Chew and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Benjamin C. Calhoun

70 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin C. Calhoun United States 20 529 387 357 330 262 72 1.3k
Karin Wadt Denmark 18 701 1.3× 319 0.8× 528 1.5× 132 0.4× 173 0.7× 65 1.4k
Hiroto Katoh Japan 23 797 1.5× 394 1.0× 427 1.2× 143 0.4× 142 0.5× 71 1.7k
F Kasumi Japan 16 686 1.3× 530 1.4× 529 1.5× 380 1.2× 59 0.2× 53 1.4k
Nicola Barnard United States 17 481 0.9× 283 0.7× 450 1.3× 166 0.5× 66 0.3× 40 1.1k
D. G. Powe United Kingdom 21 532 1.0× 491 1.3× 395 1.1× 156 0.5× 47 0.2× 32 1.7k
Paolo Aretini Italy 23 799 1.5× 352 0.9× 313 0.9× 163 0.5× 41 0.2× 88 1.5k
Kyoko Iwao Japan 19 1.0k 2.0× 194 0.5× 513 1.4× 247 0.7× 230 0.9× 25 1.7k
Siddhartha Deb Australia 20 660 1.2× 244 0.6× 435 1.2× 96 0.3× 51 0.2× 48 1.3k
Laufey T. Ámundadóttir United States 21 1.0k 1.9× 287 0.7× 641 1.8× 174 0.5× 297 1.1× 47 1.7k

Countries citing papers authored by Benjamin C. Calhoun

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin C. Calhoun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin C. Calhoun. 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 Benjamin C. Calhoun. The network helps show where Benjamin C. Calhoun may publish in the future.

Co-authorship network of co-authors of Benjamin C. Calhoun

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin C. Calhoun. A scholar is included among the top collaborators of Benjamin C. Calhoun 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 Benjamin C. Calhoun. Benjamin C. Calhoun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Love, Michael I., Benjamin C. Calhoun, Eboneé N. Butler, et al.. (2025). Genomic Analysis Reveals Racial and Age-Related Differences in the Somatic Landscape of Breast Cancer and the Association with Socioeconomic Factors. Cancer Research. 85(7). 1327–1340. 1 indexed citations
2.
Nyante, Sarah J., Allison M. Deal, Hillary Heiling, et al.. (2024). Trends in breast, colon, pancreatic, and uterine cancers in women during the COVID‐19 pandemic in North Carolina. Cancer Medicine. 13(7). e7156–e7156. 2 indexed citations
3.
Li, Yao, Benjamin C. Calhoun, Charles M. Perou, et al.. (2024). Visual Intratumor Heterogeneity and Breast Tumor Progression. Cancers. 16(13). 2294–2294. 1 indexed citations
4.
Kim, Hyunsoo, Susana García‐Recio, Benjamin C. Calhoun, et al.. (2023). Tamoxifen Response at Single-Cell Resolution in Estrogen Receptor–Positive Primary Human Breast Tumors. Clinical Cancer Research. 29(23). 4894–4907. 6 indexed citations
5.
Shi, Yifeng, Katherine A. Hoadley, Benjamin C. Calhoun, et al.. (2023). Predicting early breast cancer recurrence from histopathological images in the Carolina Breast Cancer Study. npj Breast Cancer. 9(1). 92–92. 9 indexed citations
6.
Hurson, Amber N., Alina M. Hamilton, Erin L. Kirk, et al.. (2023). Reproducibility and intratumoral heterogeneity of the PAM50 breast cancer assay. Breast Cancer Research and Treatment. 199(1). 147–154. 5 indexed citations
7.
O’Connor, Siobhán, et al.. (2023). Pathological measurement and staging of residual breast cancer after neoadjuvant chemotherapy. Histopathology. 83(3). 453–464. 1 indexed citations
8.
Kuzmiak, Cherie M. & Benjamin C. Calhoun. (2023). Pure Mucinous Carcinoma of the Breast: Radiologic-Pathologic Correlation. Journal of Breast Imaging. 5(2). 180–187. 4 indexed citations
9.
Hamilton, Alina M., Xiaohua Gao, Benjamin C. Calhoun, et al.. (2022). Incorporating RNA-based Risk Scores for Genomic Instability to Predict Breast Cancer Recurrence and Immunogenicity in a Diverse Population. Cancer Research Communications. 3(1). 12–20. 4 indexed citations
10.
Benefield, Halei C., Katherine E. Reeder‐Hayes, Hazel B. Nichols, et al.. (2020). Outcomes of Hormone-Receptor Positive, HER2-Negative Breast Cancers by Race and Tumor Biological Features. JNCI Cancer Spectrum. 5(1). 13 indexed citations
11.
Radford, Diane M., Christopher Kovacs, Benjamin C. Calhoun, et al.. (2018). Cystic neutrophilic granulomatous mastitis: The Cleveland Clinic experience with diagnosis and management. The Breast Journal. 25(1). 80–85. 37 indexed citations
12.
Calhoun, Benjamin C., et al.. (2018). Analytical and clinical performance of progesterone receptor antibodies in breast cancer. Annals of Diagnostic Pathology. 35. 21–26. 3 indexed citations
13.
Pederson, Holly J., et al.. (2017). Breast cancer risk associated with atypical hyperplasia and lobular carcinoma in situ initially diagnosed on core‐needle biopsy. Cancer. 124(3). 459–465. 28 indexed citations
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16.
Tiwari, Shruti, Prasun Mishra, Paola Raska, et al.. (2016). Retrospective study of the efficacy and safety of neoadjuvant docetaxel, carboplatin, trastuzumab/pertuzumab (TCH-P) in nonmetastatic HER2-positive breast cancer. Breast Cancer Research and Treatment. 158(1). 189–193. 19 indexed citations
17.
Calhoun, Benjamin C. & Laura C. Collins. (2015). Predictive markers in breast cancer: An update on ER and HER2 testing and reporting. Seminars in Diagnostic Pathology. 32(5). 362–369. 50 indexed citations
18.
Nam, Ki Taek, J. Joshua Smith, Lynne A. Lapierre, et al.. (2010). Loss of Rab25 promotes the development of intestinal neoplasia in mice and is associated with human colorectal adenocarcinomas. Journal of Clinical Investigation. 120(3). 840–849. 118 indexed citations
19.
Calhoun, Benjamin C., et al.. (2003). Sampling Error in the Standard Evaluation of Endoscopic Colonic Biopsies. The American Journal of Surgical Pathology. 27(2). 254–257. 20 indexed citations
20.
Calhoun, Benjamin C. & James R. Goldenring. (1997). Rab proteins in gastric parietal cells: evidence for the membrane recycling hypothesis.. PubMed. 69(1). 1–8. 25 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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