John Kuriyan
Impact in
- Hematology top 0.1%
- Chronic Myeloid Leukemia Treatments
- Molecular Biology top 0.05%
- Protein Kinase Regulation and GTPase Signaling
- Protein Structure and Dynamics
- DNA Repair Mechanisms
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 54
- Protein Structure and Dynamics 41
- DNA Repair Mechanisms 27
- DNA and Nucleic Acid Chemistry 21
- Cell Biology 32
- Co-authors
- Martin Karplus (10 shared papers)Mike E. O’Donnell (36 shared papers)Morgan Huse (6 shared papers)Frank Sicheri (5 shared papers)Axel T. Brünger (4 shared papers)Bhushan Nagar (11 shared papers)Ismail Moarefi (6 shared papers)Patricia Pellicena (8 shared papers)
- Journals
- Cell (40 papers)Proceedings of the National Academy of Sciences (25 papers)eLife (14 papers)Nature (14 papers)Journal of Molecular Biology (11 papers)
- Partner nations
- United StatesGermanySingapore
In The Last Decade
John Kuriyan
244 papers receiving 41.4k citations
John Kuriyan's Hit Papers
Peers
Comparison fields: 5 of 175
- Hematology 5.2k
- Molecular Biology 29.9k
- Genetics 3.6k
- Cell Biology 5.2k
- Oncology 7.5k
Countries citing papers authored by John Kuriyan
This map shows the geographic impact of John Kuriyan'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 John Kuriyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Kuriyan more than expected).
Fields of papers citing papers by John Kuriyan
This network shows the impact of papers produced by John Kuriyan. 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 John Kuriyan. The network helps show where John Kuriyan may publish in the future.
Co-authors
The 25 scholars most cited alongside John Kuriyan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 246 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Crystallographic R Factor Refinement by Molecular Dynamics Hit paper breakdown → | 1987 | 1815 |
| 2 | Structural Mechanism for STI-571 Inhibition of Abelson Tyrosine Kinase Hit paper breakdown → | 2000 | 1503 |
| 3 | The Conformational Plasticity of Protein Kinases Hit paper breakdown → | 2002 | 1416 |
| 4 | Multiple BCR-ABL kinase domain mutations confer polyclonal resistance to the tyrosine kinase inhibitor imatinib (STI571) in chronic phase and blast crisis chronic myeloid leukemia Hit paper breakdown → | 2002 | 1386 |
| 5 | An Allosteric Mechanism for Activation of the Kinase Domain of Epidermal Growth Factor Receptor Hit paper breakdown → | 2006 | 1316 |
| 6 | Crystal structure of the Src family tyrosine kinase Hck Hit paper breakdown → | 1997 | 1031 |
| 7 | Molecular dynamics and protein function Hit paper breakdown → | 2005 | 914 |
| 8 | Crystal structures of the kinase domain of c-Abl in complex with the small molecule inhibitors PD173955 and imatinib (STI-571). Hit paper breakdown → | 2002 | 794 |
| 9 | Crystal structure of the eukaryotic DNA polymerase processivity factor PCNA Hit paper breakdown → | 1994 | 781 |
| 10 | Three-dimensional structure of the catalytic subunit of protein serine/threonine phosphatase-1 Hit paper breakdown → | 1995 | 758 |
| 11 | Structural Basis for the Autoinhibition of c-Abl Tyrosine Kinase Hit paper breakdown → | 2003 | 719 |
| 12 | 1998 | 700 | |
| 13 | Structure of the C-Terminal Region of p21WAF1/CIP1 Complexed with Human PCNA Hit paper breakdown → | 1996 | 693 |
| 14 | The structural basis of the activation of Ras by Sos Hit paper breakdown → | 1998 | 683 |
| 15 | Three-dimensional structure of the β subunit of E. coli DNA polymerase III holoenzyme: A sliding DNA clamp Hit paper breakdown → | 1992 | 675 |
| 16 | Validation of ITD mutations in FLT3 as a therapeutic target in human acute myeloid leukaemia Hit paper breakdown → | 2012 | 637 |
| 17 | 1998 | 601 | |
| 18 | Crystal structure of the phosphotyrosine recognition domain SH2 of v-src complexed with tyrosine-phosphorylated peptides Hit paper breakdown → | 1992 | 581 |
| 19 | 1997 | 539 | |
| 20 | 2009 | 490 |
About John Kuriyan
John Kuriyan is a scholar working on Molecular Biology, Cell Biology, Oncology, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 246 papers that have together received 42.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (54 papers), Protein Structure and Dynamics (41 papers), Enzyme Structure and Function (40 papers), Monoclonal and Polyclonal Antibodies Research (30 papers), DNA Repair Mechanisms (27 papers), Chronic Myeloid Leukemia Treatments (24 papers), DNA and Nucleic Acid Chemistry (21 papers) and Bacterial Genetics and Biotechnology (19 papers). The work is most often cited by research in Hematology (5.2k citations), Molecular Biology (29.9k citations), Genetics (3.6k citations), Cell Biology (5.2k citations) and Oncology (7.5k citations). John Kuriyan has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Martin Karplus, Mike E. O’Donnell, Morgan Huse, Frank Sicheri, Axel T. Brünger, Bhushan Nagar, Ismail Moarefi, Patricia Pellicena, Thomas Hellmut Schindler and William G. Bornmann. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences, eLife, Nature and Journal of Molecular Biology.
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.