James J. Starling
- Oncology top 2%
- Molecular Biology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Infectious Diseases top 10%
- Co-authors
- Anne H. DantzigJin CaoRobert L. ShepardThomas F. BumolWilliam J. EhlhardtTodd M. BaughmanKevin L. LawSheng-Bin Peng
- Topics
- Monoclonal and Polyclonal Antibodies Research (16 papers)Glycosylation and Glycoproteins Research (11 papers)Drug Transport and Resistance Mechanisms (11 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
James J. Starling
54 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 93
- Oncology 1.3k
- Molecular Biology 1.1k
- Radiology, Nuclear Medicine and Imaging 335
- Pediatrics, Perinatology and Child Health 334
- Infectious Diseases 239
Countries citing papers authored by James J. Starling
This map shows the geographic impact of James J. Starling'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 James J. Starling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James J. Starling more than expected).
Fields of papers citing papers by James J. Starling
This network shows the impact of papers produced by James J. Starling. 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 James J. Starling. The network helps show where James J. Starling may publish in the future.
Co-authorship network of co-authors of James J. Starling
This figure shows the co-authorship network connecting the top 25 collaborators of James J. Starling. A scholar is included among the top collaborators of James J. Starling based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James J. Starling. James J. Starling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 117 | |
| 2 | 104 | |
| 3 | 24 | |
| 4 | 1 | |
| 5 | 17 | |
| 6 | 41 | |
| 7 | A small molecule inhibitor of TGFβ RI kinase potentiates VEGF dependent angiogenesis in vitro | 1 |
| 8 | 49 | |
| 9 | 36 | |
| 10 | 55 | |
| 11 | 113 | |
| 12 | 115 | |
| 13 | 23 | |
| 14 | 70 | |
| 15 | 25 | |
| 16 | 26 | |
| 17 | 10 | |
| 18 | 29 | |
| 19 | 95 | |
| 20 | 5 |
About James J. Starling
James J. Starling is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 55 papers that have together received 2.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (16 papers), Glycosylation and Glycoproteins Research (11 papers) and Drug Transport and Resistance Mechanisms (11 papers). The work is most often cited by research in Oncology (1.3k citations), Pediatrics, Perinatology and Child Health (334 citations) and Molecular Biology (1.1k citations). James J. Starling has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Anne H. Dantzig, Jin Cao, Robert L. Shepard, Thomas F. Bumol, William J. Ehlhardt, Todd M. Baughman, Kevin L. Law, Sheng-Bin Peng, Sean G. Buchanan and Vipin Yadav. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research and Journal of Medicinal 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.