Eric J. Yang
Impact in
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
Papers in
- Oncology 5
- HER2/EGFR in Cancer Research 2
- Lymphatic System and Diseases 1
- Cancer Immunotherapy and Biomarkers 1
-
- Advanced Proteomics Techniques and Applications 3
- Co-authors
- K. W. Michael Siu (2 shared papers)Rolando Pérez Rodríguez (2 shared papers)Elías Gracia (1 shared paper)Robert S. Kerbel (1 shared paper)Luis Enrique Fernandez (1 shared paper)Ailem Rabasa (1 shared paper)Normando Iznaga (1 shared paper)Greta Garrido (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)PROTEOMICS (2 papers)Molecular Cancer (1 paper)SLAS TECHNOLOGY (1 paper)Science Translational Medicine (1 paper)
- Partner nations
- CanadaUnited StatesCuba
In The Last Decade
Eric J. Yang
14 papers receiving 484 citations
Peers
Comparison fields: 5 of 62
- Otorhinolaryngology 26
- Filtration and Separation 8
- Immunology 60
- Oncology 69
- Genetics 25
Countries citing papers authored by Eric J. Yang
This map shows the geographic impact of Eric J. Yang'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 Eric J. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric J. Yang more than expected).
Fields of papers citing papers by Eric J. Yang
This network shows the impact of papers produced by Eric J. Yang. 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 Eric J. Yang. The network helps show where Eric J. Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric J. Yang, 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 | 2011 | 129 | |
| 2 | 2004 | 87 | |
| 3 | 2003 | 76 | |
| 4 | 2023 | 53 | |
| 5 | 2010 | 45 | |
| 6 | 2013 | 27 | |
| 7 | 2020 | 24 | |
| 8 | 2013 | 17 | |
| 9 | 2018 | 16 | |
| 10 | 2010 | 13 | |
| 11 | Bivalent binding properties of epidermal growth factor receptor targeted monoclonal antibodies: Factors contributing to differences in observed clinical profiles. | 2008 | 8 |
| 12 | 2022 | 7 | |
| 13 | 2010 | 1 | |
| 14 | 2017 | 1 |
About Eric J. Yang
Eric J. Yang is a scholar working on Oncology, Spectroscopy, Filtration and Separation, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 14 papers that have together received 504 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), HER2/EGFR in Cancer Research (2 papers), Protein purification and stability (1 paper), Lymphatic System and Diseases (1 paper), Microtubule and mitosis dynamics (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Otorhinolaryngology (26 citations), Filtration and Separation (8 citations), Immunology (60 citations), Oncology (69 citations) and Genetics (25 citations). Eric J. Yang has collaborated with scholars based in Canada, United States and Cuba. Frequent co-authors include K. W. Michael Siu, Rolando Pérez Rodríguez, Elías Gracia, Robert S. Kerbel, Luis Enrique Fernandez, Ailem Rabasa, Normando Iznaga, Greta Garrido, Tania Crombet and John C. McDermott. Their work appears in journals such as Clinical Cancer Research, PROTEOMICS, Molecular Cancer, SLAS TECHNOLOGY and Science Translational Medicine.
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.