Brian J. Yoder

1.8k citations
22 papers · 1.5k · h-index 18

Impact in

    • Breast Cancer Treatment Studies
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Vascular Tumors and Angiosarcomas

Papers in

    • Breast Cancer Treatment Studies 5
    • HER2/EGFR in Cancer Research 5
    • Vascular Tumors and Angiosarcomas 1

Brian J. Yoder

22 papers receiving 1.5k citations

Peers

Brian J. Yoder
Comparison fields: 5 of 61
  • Cancer Research 346
  • Oncology 344
  • Endocrinology, Diabetes and Metabolism 119
  • Surgery 223
  • Pulmonary and Respiratory Medicine 148
Replace Shimiao Zhu with:
Shimiao Zhu China
Robert W. Schnepp United States
Ali G. Saad United States
Henry Rodriguez United States
Tanja Langsenlehner Austria
Hongchang Shen China
Yuichiro Nagai Japan
Greta Alì Italy
Isabella Morra Italy
Qiong Gan United States
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Citations per field
00.5×2×2.6×
Shimiao Zhu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Brian J. Yoder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian J. Yoder Line = papers co-authored together Brian J. Yoder links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006220
2 2005167
3 2007156
4 2006151
5 2005109
6 200492
7 200889
8 200681
9 200681
10 200764
11 200553
12 200844
13 200543
14 200636
15 200733
16 201032
17 199524
18 200722
19 200711
20 20068

About Brian J. Yoder

Brian J. Yoder is a scholar working on Cancer Research, Oncology, Endocrinology, Diabetes and Metabolism, Transplantation and Surgery, having authored 22 papers that have together received 1.5k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), HER2/EGFR in Cancer Research (5 papers), Bladder and Urothelial Cancer Treatments (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Epilepsy research and treatment (1 paper), Genital Health and Disease (1 paper), Vascular Tumors and Angiosarcomas (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Cancer Research (346 citations), Oncology (344 citations), Endocrinology, Diabetes and Metabolism (119 citations), Surgery (223 citations) and Pulmonary and Respiratory Medicine (148 citations). Brian J. Yoder has collaborated with scholars based in United States and Canada. Frequent co-authors include David G. Hicks, Raymond R. Tubbs, Nicole A. Massoll, Shannon M. Tarr, Marek Skacel, George Thomas Budd, Rachel Redman, Edward J. Wilkinson, James Pettay and Joseph P. Crowe. Their work appears in journals such as The American Journal of Surgical Pathology, Clinical Cancer Research, Thyroid, American Journal of Clinical Pathology and Human Pathology.

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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