Paul J. Balderes
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Oncology top 5%
- HER2/EGFR in Cancer Research
- CAR-T cell therapy research
Papers in
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- Monoclonal and Polyclonal Antibodies Research 14
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- Chronic Myeloid Leukemia Treatments 4
- Acute Myeloid Leukemia Research 3
- Co-authors
- Dale L. Ludwig (19 shared papers)Zhenping Zhu (11 shared papers)Xenia Jimenez (10 shared papers)Haifan Zhang (8 shared papers)Daniel J. Hicklin (8 shared papers)Rajiv Bassi (9 shared papers)Larry Witte (7 shared papers)Peter Böhlen (6 shared papers)
- Journals
- Cancer Research (3 papers)Journal of Immunological Methods (2 papers)Molecular Cancer Therapeutics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Blood (2 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Paul J. Balderes
33 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 439
- Oncology 510
- Immunology 295
- Molecular Biology 875
- Hepatology 80
Countries citing papers authored by Paul J. Balderes
This map shows the geographic impact of Paul J. Balderes'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 Paul J. Balderes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul J. Balderes more than expected).
Fields of papers citing papers by Paul J. Balderes
This network shows the impact of papers produced by Paul J. Balderes. 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 Paul J. Balderes. The network helps show where Paul J. Balderes may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul J. Balderes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 164 | |
| 2 | 2006 | 132 | |
| 3 | 2004 | 114 | |
| 4 | 2006 | 105 | |
| 5 | 2010 | 104 | |
| 6 | 2005 | 103 | |
| 7 | 2022 | 103 | |
| 8 | 2006 | 82 | |
| 9 | 2005 | 78 | |
| 10 | 2010 | 72 | |
| 11 | 2013 | 58 | |
| 12 | 2009 | 53 | |
| 13 | 1987 | 45 | |
| 14 | 2011 | 45 | |
| 15 | 2005 | 44 | |
| 16 | 2004 | 43 | |
| 17 | 2003 | 36 | |
| 18 | 2007 | 34 | |
| 19 | 2022 | 34 | |
| 20 | 2006 | 28 |
About Paul J. Balderes
Paul J. Balderes is a scholar working on Radiology, Nuclear Medicine and Imaging, Hematology, Oncology, Molecular Biology and Immunology, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), Glycosylation and Glycoproteins Research (8 papers), Angiogenesis and VEGF in Cancer (7 papers), Protein purification and stability (5 papers), HER2/EGFR in Cancer Research (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (439 citations), Oncology (510 citations), Immunology (295 citations), Molecular Biology (875 citations) and Hepatology (80 citations). Paul J. Balderes has collaborated with scholars based in United States and Germany. Frequent co-authors include Dale L. Ludwig, Zhenping Zhu, Xenia Jimenez, Haifan Zhang, Daniel J. Hicklin, Rajiv Bassi, Larry Witte, Peter Böhlen, Dan Lu and James R. Tonra. Their work appears in journals such as Cancer Research, Journal of Immunological Methods, Molecular Cancer Therapeutics, Proceedings of the National Academy of Sciences and Blood.
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.