Sean C. Yoder
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 2
- Ubiquitin and proteasome pathways 2
- Oncology 5
- CAR-T cell therapy research 5
- Co-authors
- Jost Vielmetter (2 shared papers)David F. Carmichael (2 shared papers)Omid Vafa (2 shared papers)Sher Karki (2 shared papers)Greg A. Lazar (2 shared papers)Helen Chung (1 shared paper)Araz Eivazi (1 shared paper)Bassil I. Dahiyat (1 shared paper)
- Journals
- Blood (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Journal of Bacteriology (1 paper)Thrombosis Research (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Sean C. Yoder
14 papers receiving 809 citations
Sean C. Yoder's Hit Papers
Peers
Comparison fields: 5 of 63
- Radiology, Nuclear Medicine and Imaging 488
- Immunology 290
- Periodontics 43
- Oncology 210
- Genetics 68
Countries citing papers authored by Sean C. Yoder
This map shows the geographic impact of Sean C. 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 Sean C. Yoder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean C. Yoder more than expected).
Fields of papers citing papers by Sean C. Yoder
This network shows the impact of papers produced by Sean C. 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 Sean C. Yoder. The network helps show where Sean C. Yoder may publish in the future.
Co-authors
The 25 scholars most cited alongside Sean C. Yoder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Engineered antibody Fc variants with enhanced effector function Hit paper breakdown → | 2006 | 630 |
| 2 | 2000 | 43 | |
| 3 | 2008 | 42 | |
| 4 | 2010 | 33 | |
| 5 | 2005 | 32 | |
| 6 | 2008 | 23 | |
| 7 | 2015 | 21 | |
| 8 | 2005 | 14 | |
| 9 | 2017 | 9 | |
| 10 | 2009 | 4 | |
| 11 | 2015 | 3 | |
| 12 | 2002 | 3 | |
| 13 | 1995 | 3 | |
| 14 | 1992 | 3 | |
| 15 | 2015 | 1 |
About Sean C. Yoder
Sean C. Yoder is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Periodontics and Cancer Research, having authored 15 papers that have together received 864 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Otolaryngology and Infectious Diseases (3 papers), Oral microbiology and periodontitis research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Ubiquitin and proteasome pathways (2 papers), Streptococcal Infections and Treatments (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (488 citations), Immunology (290 citations), Periodontics (43 citations), Oncology (210 citations) and Genetics (68 citations). Sean C. Yoder has collaborated with scholars based in United States. Frequent co-authors include Jost Vielmetter, David F. Carmichael, Omid Vafa, Sher Karki, Greg A. Lazar, Helen Chung, Araz Eivazi, Bassil I. Dahiyat, Robert J. Hayes and Wei Dang. Their work appears in journals such as Blood, Bioorganic & Medicinal Chemistry Letters, Journal of Bacteriology, Thrombosis Research and Proceedings of the National Academy of Sciences.
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.