Jonathan D. Bargh
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Oncology top 5%
- HER2/EGFR in Cancer Research
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
- Oncology 9
- HER2/EGFR in Cancer Research 7
- Peptidase Inhibition and Analysis 2
-
- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- David R. Spring (9 shared papers)Albert Isidro‐Llobet (4 shared papers)Jeremy S. Parker (5 shared papers)Nicola Ashman (4 shared papers)Stephen J. Walsh (7 shared papers)Jason S. Carroll (7 shared papers)Hikaru Seki (3 shared papers)Friederike M. Dannheim (2 shared papers)
- Journals
- Chemical Science (3 papers)Chemical Society Reviews (3 papers)Chemical Communications (2 papers)Organic & Biomolecular Chemistry (1 paper)
- Partner nations
- United KingdomBrazilSweden
In The Last Decade
Jonathan D. Bargh
9 papers receiving 1.0k citations
Jonathan D. Bargh's Hit Papers
Peers
Comparison fields: 5 of 65
- Radiology, Nuclear Medicine and Imaging 546
- Oncology 616
- Organic Chemistry 267
- Molecular Biology 463
- Biomaterials 61
Countries citing papers authored by Jonathan D. Bargh
This map shows the geographic impact of Jonathan D. Bargh'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 Jonathan D. Bargh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan D. Bargh more than expected).
Fields of papers citing papers by Jonathan D. Bargh
This network shows the impact of papers produced by Jonathan D. Bargh. 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 Jonathan D. Bargh. The network helps show where Jonathan D. Bargh may publish in the future.
Co-authors
The 20 scholars most cited alongside Jonathan D. Bargh, 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 | Cleavable linkers in antibody–drug conjugates Hit paper breakdown → | 2019 | 475 |
| 2 | Site-selective modification strategies in antibody–drug conjugates Hit paper breakdown → | 2020 | 337 |
| 3 | 2022 | 73 | |
| 4 | 2020 | 61 | |
| 5 | 2021 | 32 | |
| 6 | 2021 | 29 | |
| 7 | 2020 | 24 | |
| 8 | 2022 | 21 | |
| 9 | 2023 | 17 |
About Jonathan D. Bargh
Jonathan D. Bargh is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Organic Chemistry and Immunology and Allergy, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), HER2/EGFR in Cancer Research (7 papers), Click Chemistry and Applications (3 papers), Glycosylation and Glycoproteins Research (2 papers), Chemical Synthesis and Analysis (2 papers), Peptidase Inhibition and Analysis (2 papers), Cell Adhesion Molecules Research (1 paper) and Nanofabrication and Lithography Techniques (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (546 citations), Oncology (616 citations), Organic Chemistry (267 citations), Molecular Biology (463 citations) and Biomaterials (61 citations). Jonathan D. Bargh has collaborated with scholars based in United Kingdom, Brazil and Sweden. Frequent co-authors include David R. Spring, Albert Isidro‐Llobet, Jeremy S. Parker, Nicola Ashman, Stephen J. Walsh, Jason S. Carroll, Hikaru Seki, Friederike M. Dannheim, Andrew J. Counsell and Abigail R. Hanby. Their work appears in journals such as Chemical Science, Chemical Society Reviews, Chemical Communications and Organic & Biomolecular 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.