Brian J. Yoder

1.8k total citations
22 papers, 1.4k citations indexed

About

Brian J. Yoder is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Brian J. Yoder has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 7 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in Brian J. Yoder's work include HER2/EGFR in Cancer Research (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Cancer Cells and Metastasis (3 papers). Brian J. Yoder is often cited by papers focused on HER2/EGFR in Cancer Research (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Cancer Cells and Metastasis (3 papers). Brian J. Yoder collaborates with scholars based in United States, Switzerland and Canada. Brian J. Yoder's co-authors include David G. Hicks, Raymond R. Tubbs, Nicole Massoll, Shannon Tarr, Marek Skacel, G. Thomas Budd, Rachel Redman, Joseph P. Crowe, Edward J. Wilkinson and John R. Goldblum and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and The Journal of Urology.

In The Last Decade

Brian J. Yoder

22 papers receiving 1.4k 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 J. Yoder United States 18 670 460 331 318 290 22 1.4k
Eric K. Nakakura United States 22 1.1k 1.6× 672 1.5× 283 0.9× 312 1.0× 310 1.1× 95 2.0k
Shota Tanaka Japan 23 276 0.4× 553 1.2× 285 0.9× 336 1.1× 366 1.3× 86 1.7k
P Wülfing Germany 22 576 0.9× 773 1.7× 153 0.5× 191 0.6× 452 1.6× 47 1.7k
A. Ramaioli France 17 800 1.2× 402 0.9× 321 1.0× 536 1.7× 310 1.1× 32 1.5k
Takafumi Sangai Japan 26 979 1.5× 877 1.9× 189 0.6× 317 1.0× 444 1.5× 78 2.1k
Fabienne Baffert Switzerland 13 434 0.6× 968 2.1× 99 0.3× 223 0.7× 341 1.2× 19 1.5k
Christian Kersting Germany 22 440 0.7× 790 1.7× 186 0.6× 294 0.9× 295 1.0× 42 1.6k
Arlene Berman United States 22 1.3k 1.9× 614 1.3× 165 0.5× 474 1.5× 534 1.8× 47 2.4k
Renê Gerhard Brazil 21 985 1.5× 615 1.3× 385 1.2× 243 0.8× 365 1.3× 41 1.8k
Sabrina Rossi Italy 24 636 0.9× 1.0k 2.3× 478 1.4× 1.0k 3.2× 483 1.7× 55 2.5k

Countries citing papers authored by Brian J. Yoder

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Yoder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian J. Yoder

This figure shows the co-authorship network connecting the top 25 collaborators of Brian J. Yoder. A scholar is included among the top collaborators of Brian J. Yoder 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 J. Yoder. Brian J. Yoder 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
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Zhang, Paul J., John S. Brooks, John R. Goldblum, et al.. (2008). Primary cardiac sarcomas: a clinicopathologic analysis of a series with follow-up information in 17 patients and emphasis on long-term survival. Human Pathology. 39(9). 1385–1395. 85 indexed citations
3.
Yoder, Brian J., et al.. (2008). Stage IA Vulvar Squamous Cell Carcinoma. The American Journal of Surgical Pathology. 32(5). 765–772. 33 indexed citations
4.
Prayson, Richard A. & Brian J. Yoder. (2007). Clinicopathologic findings in mesial temporal sclerosis treated with gamma knife radiotherapy. Annals of Diagnostic Pathology. 11(1). 22–26. 20 indexed citations
5.
Prayson, Richard A., Brian J. Yoder, & Gene H. Barnett. (2007). Epidermal growth factor receptor is not amplified in schwannomas. Annals of Diagnostic Pathology. 11(5). 326–329. 11 indexed citations
6.
Yoder, Brian J., Marek Skacel, Ryan C. Hedgepeth, et al.. (2007). Reflex UroVysion Testing of Bladder Cancer Surveillance Patients With Equivocal or Negative Urine Cytology. American Journal of Clinical Pathology. 127(2). 295–301. 131 indexed citations
7.
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Yoder, Brian J., Edward J. Wilkinson, & Nicole Massoll. (2007). Molecular and Morphologic Distinctions between Infiltrating Ductal and Lobular Carcinoma of the Breast. The Breast Journal. 13(2). 172–179. 57 indexed citations
9.
Yoder, Brian J., Marek Skacel, Ryan C. Hedgepeth, et al.. (2007). Reflex UroVysion Testing of Bladder Cancer Surveillance Patients With Equivocal or Negative Urine Cytology: A Prospective Study With Focus on the Natural History of Anticipatory Positive Findings. American Journal of Clinical Pathology. 127(2). 295–301. 7 indexed citations
10.
Ulusal, Betül Gözel, et al.. (2006). Trafficking of Donor-Derived Bone Marrow Correlates With Chimerism and Extension of Composite Allograft Survival Across MHC Barrier. Transplantation Proceedings. 38(5). 1625–1633. 8 indexed citations
11.
Hicks, David G., Sarah Short, Nichole Prescott, et al.. (2006). Breast Cancers With Brain Metastases are More Likely to be Estrogen Receptor Negative, Express the Basal Cytokeratin CK5/6, and Overexpress HER2 or EGFR. The American Journal of Surgical Pathology. 30(9). 1097–1104. 211 indexed citations
12.
Yoder, Brian J., Rachel Redman, & Nicole Massoll. (2006). Validation of a Five-Tier Cytodiagnostic System for Thyroid Fine Needle Aspiration Biopsies Using Cytohistologic Correlation. Thyroid. 16(8). 781–786. 34 indexed citations
13.
Hicks, David G., Brian J. Yoder, Sarah Short, et al.. (2006). Loss of Breast Cancer Metastasis Suppressor 1 Protein Expression Predicts Reduced Disease-Free Survival in Subsets of Breast Cancer Patients. Clinical Cancer Research. 12(22). 6702–6708. 78 indexed citations
14.
Redman, Rachel, Brian J. Yoder, & Nicole Massoll. (2006). Perceptions of Diagnostic Terminology and Cytopathologic Reporting of Fine-Needle Aspiration Biopsies of Thyroid Nodules: A Survey of Clinicians and Pathologists. Thyroid. 16(10). 1003–1008. 75 indexed citations
15.
Ring, Brian Z., Robert S. Seitz, Shannon Tarr, et al.. (2006). Novel Prognostic Immunohistochemical Biomarker Panel for Estrogen Receptor–Positive Breast Cancer. Journal of Clinical Oncology. 24(19). 3039–3047. 135 indexed citations
16.
Yoder, Brian J., Marek Skacel, Shannon Tarr, et al.. (2005). The Expression of Fascin, an Actin-Bundling Motility Protein, Correlates with Hormone Receptor–Negative Breast Cancer and a More Aggressive Clinical Course. Clinical Cancer Research. 11(1). 186–192. 160 indexed citations
17.
Downs‐Kelly, Erinn, James Pettay, David G. Hicks, et al.. (2005). Analytical Validation and Interobserver Reproducibility of EnzMet GenePro. The American Journal of Surgical Pathology. 29(11). 1505–1511. 36 indexed citations
18.
19.
Allison, Kimberly H., Brian J. Yoder, Mary P. Bronner, John R. Goldblum, & Brian P. Rubin. (2004). Angiosarcoma Involving the Gastrointestinal Tract. The American Journal of Surgical Pathology. 28(3). 298–307. 86 indexed citations
20.

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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