Fred Jacobson
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
- CAR-T cell therapy research
Papers in
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- Monoclonal and Polyclonal Antibodies Research 10
- Oncology 7
- HER2/EGFR in Cancer Research 7
- Peptidase Inhibition and Analysis 2
- Co-authors
- Mary Cromwell (1 shared paper)Michael T. Kim (4 shared papers)Stuart Lutzker (1 shared paper)Shanu Modi (1 shared paper)Mark X. Sliwkowski (1 shared paper)Wei Yu (1 shared paper)Scott N. Holden (1 shared paper)Muralidhar Beeram (1 shared paper)
- Journals
- Bioconjugate Chemistry (3 papers)Journal of Pharmaceutical Sciences (1 paper)Scientific Reports (1 paper)Journal of Clinical Oncology (1 paper)mAbs (1 paper)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Fred Jacobson
10 papers receiving 1.2k citations
Fred Jacobson's Hit Papers
Peers
Comparison fields: 5 of 78
- Radiology, Nuclear Medicine and Imaging 806
- Oncology 548
- Molecular Biology 774
- Pharmaceutical Science 37
- Biotechnology 50
Countries citing papers authored by Fred Jacobson
This map shows the geographic impact of Fred Jacobson'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 Fred Jacobson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Jacobson more than expected).
Fields of papers citing papers by Fred Jacobson
This network shows the impact of papers produced by Fred Jacobson. 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 Fred Jacobson. The network helps show where Fred Jacobson may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred Jacobson, 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 | Protein aggregation and bioprocessing Hit paper breakdown → | 2006 | 578 |
| 2 | 2010 | 437 | |
| 3 | 2014 | 115 | |
| 4 | 2008 | 53 | |
| 5 | 2019 | 41 | |
| 6 | 2009 | 28 | |
| 7 | 2016 | 27 | |
| 8 | 2023 | 14 | |
| 9 | 2016 | 12 | |
| 10 | 2017 | 3 | |
| 11 | 2013 | 0 |
About Fred Jacobson
Fred Jacobson is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Molecular Biology, Spectroscopy and Immunology and Allergy, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), HER2/EGFR in Cancer Research (7 papers), Protein purification and stability (6 papers), Peptidase Inhibition and Analysis (2 papers), Biosimilars and Bioanalytical Methods (1 paper), Analytical Chemistry and Chromatography (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (806 citations), Oncology (548 citations), Molecular Biology (774 citations), Pharmaceutical Science (37 citations) and Biotechnology (50 citations). Fred Jacobson has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Mary Cromwell, Michael T. Kim, Stuart Lutzker, Shanu Modi, Mark X. Sliwkowski, Wei Yu, Scott N. Holden, Muralidhar Beeram, Jay Tibbitts and Ian E. Krop. Their work appears in journals such as Bioconjugate Chemistry, Journal of Pharmaceutical Sciences, Scientific Reports, Journal of Clinical Oncology and mAbs.
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.