Brian C. Willis

445 total citations
9 papers, 305 citations indexed

About

Brian C. Willis is a scholar working on Oncology, Epidemiology and Surgery. According to data from OpenAlex, Brian C. Willis has authored 9 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Epidemiology and 2 papers in Surgery. Recurrent topics in Brian C. Willis's work include Cervical Cancer and HPV Research (3 papers), Genetic factors in colorectal cancer (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Brian C. Willis is often cited by papers focused on Cervical Cancer and HPV Research (3 papers), Genetic factors in colorectal cancer (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). Brian C. Willis collaborates with scholars based in United States, Poland and Egypt. Brian C. Willis's co-authors include Anne M. Mills, Emily A. Sloan, Kari L. Ring, Susan C. Modesitt, Cynthia Cohen, Jason Wang, Mark H. Stoler, Kristen A. Atkins, Joseph D. Coppock and Kevin McCarthy and has published in prestigious journals such as The American Journal of Surgical Pathology, Modern Pathology and Cancer Cytopathology.

In The Last Decade

Brian C. Willis

9 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian C. Willis United States 7 162 82 79 54 52 9 305
Anne‐Katrin Zimmermann Switzerland 9 139 0.9× 74 0.9× 118 1.5× 29 0.5× 18 0.3× 11 337
Víctor Rodríguez-Freixinós Spain 11 194 1.2× 41 0.5× 84 1.1× 30 0.6× 23 0.4× 27 319
Félix Blanc‐Durand France 11 171 1.1× 50 0.6× 103 1.3× 64 1.2× 15 0.3× 40 303
Noriko Sasahara Japan 10 109 0.7× 46 0.6× 61 0.8× 35 0.6× 92 1.8× 17 307
P. G. Knapstein Germany 10 139 0.9× 43 0.5× 84 1.1× 19 0.4× 88 1.7× 24 339
Shengwei Mo China 11 217 1.3× 32 0.4× 93 1.2× 157 2.9× 36 0.7× 30 348
M. Kiechle‐Schwarz Germany 12 97 0.6× 57 0.7× 102 1.3× 17 0.3× 54 1.0× 23 319
Alba Martínez United States 6 77 0.5× 28 0.3× 121 1.5× 35 0.6× 63 1.2× 10 287
Hualei Bu China 11 118 0.7× 34 0.4× 173 2.2× 36 0.7× 38 0.7× 24 354
Audrey Le Formal France 8 207 1.3× 51 0.6× 190 2.4× 96 1.8× 48 0.9× 18 422

Countries citing papers authored by Brian C. Willis

Since Specialization
Citations

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

Fields of papers citing papers by Brian C. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian C. Willis

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

All Works

9 of 9 papers shown
1.
Coppock, Joseph D., Brian C. Willis, Mark H. Stoler, & Anne M. Mills. (2018). HPV RNA in situ hybridization can inform cervical cytology‐histology correlation. Cancer Cytopathology. 126(8). 533–540. 7 indexed citations
2.
Willis, Brian C., Emily A. Sloan, Kristen A. Atkins, Mark H. Stoler, & Anne M. Mills. (2017). Mismatch repair status and PD-L1 expression in clear cell carcinomas of the ovary and endometrium. Modern Pathology. 30(11). 1622–1632. 55 indexed citations
3.
Mills, Anne M., Joseph D. Coppock, Brian C. Willis, & Mark H. Stoler. (2017). HPV E6/E7 mRNA In Situ Hybridization in the Diagnosis of Cervical Low-grade Squamous Intraepithelial Lesions (LSIL). The American Journal of Surgical Pathology. 42(2). 192–200. 15 indexed citations
4.
Coppock, Joseph D., Brian C. Willis, Mark H. Stoler, & Anne M. Mills. (2017). HPV RNA In Situ Hybridization can Inform Cervical Cytology-Histology Correlation. Journal of the American Society of Cytopathology. 6(5). S29–S29. 1 indexed citations
5.
Willis, Brian C., Julia K. Shinnick, Lei Lou, et al.. (2016). Two Case Reports of Nodular Fasciitis: A Newly Recognized Placental Lesion. Fetal and Pediatric Pathology. 35(2). 93–97. 2 indexed citations
6.
Mohammed, Kareem Hosny, Momin T. Siddiqui, Brian C. Willis, et al.. (2016). Parafibromin, APC, and MIB-1 Are Useful Markers for Distinguishing Parathyroid Carcinomas From Adenomas. Applied immunohistochemistry & molecular morphology. 25(10). 731–735. 26 indexed citations
7.
Sloan, Emily A., Kari L. Ring, Brian C. Willis, Susan C. Modesitt, & Anne M. Mills. (2016). PD-L1 Expression in Mismatch Repair-deficient Endometrial Carcinomas, Including Lynch Syndrome-associated and MLH1 Promoter Hypermethylated Tumors. The American Journal of Surgical Pathology. 41(3). 326–333. 112 indexed citations
8.
Willis, Brian C., et al.. (2014). SOX10. Applied immunohistochemistry & molecular morphology. 23(2). 109–112. 65 indexed citations
9.
McCarthy, Kevin, et al.. (2005). Differential cyclooxygenase-2 enzyme expression in radiosensitive versus radioresistant glioblastoma multiforme cell lines.. PubMed. 25(1B). 675–9. 22 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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