Brian J. Yoder

1.8k citations
22 papers · 1.4k · h-index 18

Impact in

  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • Vascular Tumors and Angiosarcomas
    • Breast Cancer Treatment Studies

Papers in

    • HER2/EGFR in Cancer Research 7
    • Cancer Cells and Metastasis 2
    • Bladder and Urothelial Cancer Treatments 2

Brian J. Yoder

22 papers receiving 1.4k citations

Peers

Brian J. Yoder
Comparison fields: 5 of 77
  • Oncology 515
  • Cancer Research 232
  • Pulmonary and Respiratory Medicine 241
  • Immunology and Allergy 45
  • Endocrinology, Diabetes and Metabolism 103
Replace Ichiro Fukai with:
Ichiro Fukai Japan
Eric K. Nakakura United States
Christian Kersting Germany
P Wülfing Germany
Sabrina Rossi Italy
Tai Hato Japan
Paolo Esposto Pirani Italy
Shota Tanaka Japan
PR Carroll United States
Ji Shin Lee South Korea
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Citations per field
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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 2006213
2 2005160
3 2006136
4 2007131
5 2005100
6 200487
7 200885
8 200678
9 200675
10 200757
11 200550
12 200536
13 200835
14 200634
15 200732
16 201031
17 199523
18 200720
19 200711
20 20068

About Brian J. Yoder

Brian J. Yoder is a scholar working on Oncology, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Cardiac tumors and thrombi (2 papers), Cancer Cells and Metastasis (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and Bladder and Urothelial Cancer Treatments (2 papers). The work is most often cited by research in Oncology (515 citations), Cancer Research (232 citations), Pulmonary and Respiratory Medicine (241 citations), Immunology and Allergy (45 citations) and Endocrinology, Diabetes and Metabolism (103 citations). Brian J. Yoder has collaborated with scholars based in United States, Switzerland and Canada. Frequent 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. Their work appears in journals such as The American Journal of Surgical Pathology, Clinical Cancer Research, The Breast Journal, Human Pathology and American Journal of Clinical 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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