Fred Jacobson
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
- Cancer Treatment and Pharmacology
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 9
- Oncology 7
- HER2/EGFR in Cancer Research 7
- Peptidase Inhibition and Analysis 1
- Co-authors
- Mary Cromwell (1 shared paper)Michael T. Kim (4 shared papers)Yan Chen (3 shared papers)Stuart Lutzker (1 shared paper)Shanu Modi (1 shared paper)Wei Yu (1 shared paper)Sandhya Girish (1 shared paper)Scott N. Holden (1 shared paper)
- Journals
- Bioconjugate Chemistry (3 papers)Journal of Clinical Oncology (1 paper)mAbs (1 paper)Journal of Chromatography B (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Fred Jacobson
10 papers receiving 1.3k citations
Fred Jacobson's Hit Papers
Peers
Comparison fields: 5 of 78
- Radiology, Nuclear Medicine and Imaging 715
- Oncology 532
- Molecular Biology 750
- 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 | 582 |
| 2 | 2010 | 440 | |
| 3 | 2014 | 117 | |
| 4 | 2008 | 53 | |
| 5 | 2019 | 43 | |
| 6 | 2016 | 28 | |
| 7 | 2009 | 28 | |
| 8 | 2023 | 21 | |
| 9 | 2016 | 13 | |
| 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 (9 papers), HER2/EGFR in Cancer Research (7 papers), Protein purification and stability (6 papers), Cell Adhesion Molecules Research (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Analytical Chemistry and Chromatography (1 paper), Biosimilars and Bioanalytical Methods (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (715 citations), Oncology (532 citations), Molecular Biology (750 citations), Pharmaceutical Science (37 citations) and Biotechnology (50 citations). Fred Jacobson has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Mary Cromwell, Michael T. Kim, Yan Chen, Stuart Lutzker, Shanu Modi, Wei Yu, Sandhya Girish, Scott N. Holden, Suzanne F. Jones and Joo‐Hee Yi. Their work appears in journals such as Bioconjugate Chemistry, Journal of Clinical Oncology, mAbs, Journal of Chromatography B and Analytical Chemistry.
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.