Graham C. Parry
- Molecular Biology top 5%
- Immunology top 2%
- Cancer Research top 1%
- Hematology top 0.5%
- Oncology top 5%
- Co-authors
- Nigel MackmanRonald R. CobbAndrew P. MazarKatherine A. FeltsPaul OethJonathan ErlichDavid E. ShawTeresa Martin
- Topics
- Blood Coagulation and Thrombosis Mechanisms (20 papers)Protease and Inhibitor Mechanisms (20 papers)Cell Adhesion Molecules Research (16 papers)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Graham C. Parry
75 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.7k
- Immunology 1.4k
- Cancer Research 1.4k
- Hematology 1.2k
- Oncology 814
Countries citing papers authored by Graham C. Parry
This map shows the geographic impact of Graham C. Parry'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 Graham C. Parry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graham C. Parry more than expected).
Fields of papers citing papers by Graham C. Parry
This network shows the impact of papers produced by Graham C. Parry. 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 Graham C. Parry. The network helps show where Graham C. Parry may publish in the future.
Co-authorship network of co-authors of Graham C. Parry
This figure shows the co-authorship network connecting the top 25 collaborators of Graham C. Parry. A scholar is included among the top collaborators of Graham C. Parry 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 Graham C. Parry. Graham C. Parry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 26 | |
| 6 | 15 | |
| 7 | A monoclonal antibody targeting the human urokinase plasminogen activator receptor (uPAR) combined with bevacizumab inhibits the growth of colon cancer metastases in the liver: Differential effects mediated by tumor burden. | 2 |
| 8 | 120 | |
| 9 | In vitro and in vivo characterization of a monoclonal antibody, ATN-658, targeting the uPA system | 2 |
| 10 | 54 | |
| 11 | 17 | |
| 12 | 1 | |
| 13 | 36 | |
| 14 | 19 | |
| 15 | 172 | |
| 16 | 281 | |
| 17 | 41 | |
| 18 | 309 | |
| 19 | 67 | |
| 20 | 4 |
About Graham C. Parry
Graham C. Parry is a scholar working on Hematology, Immunology and Allergy and Cancer Research, having authored 75 papers that have together received 5.0k indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (20 papers), Protease and Inhibitor Mechanisms (20 papers) and Cell Adhesion Molecules Research (16 papers). The work is most often cited by research in Immunology and Allergy (771 citations), Hematology (1.2k citations) and Cancer Research (1.4k citations). Graham C. Parry has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Nigel Mackman, Ronald R. Cobb, Andrew P. Mazar, Katherine A. Felts, Paul Oeth, Jonathan Erlich, David E. Shaw, Teresa Martin, Dominique de Prost and Véronique Ollivier. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological 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.