Daniel K. Treiber
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- RNA and protein synthesis mechanisms 9
- RNA modifications and cancer 7
- RNA Research and Splicing 5
- DNA Repair Mechanisms 3
- Protein Degradation and Inhibitors 3
- DNA and Nucleic Acid Chemistry 3
- Oncology 6
- HER2/EGFR in Cancer Research 3
- Co-authors
- James R. Williamson (9 shared papers)Patrick P. Zarrinkar (7 shared papers)Lisa Wodicka (4 shared papers)Pietro Ciceri (4 shared papers)Jeremy P. Hunt (4 shared papers)Gabriel Pallares (3 shared papers)Mindy I. Davis (2 shared papers)Sanna Herrgård (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (3 papers)Nature Biotechnology (3 papers)Journal of Molecular Biology (2 papers)Cancer Research (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Daniel K. Treiber
25 papers receiving 3.5k citations
Daniel K. Treiber's Hit Papers
Peers
Comparison fields: 5 of 114
- Hematology 449
- Computational Theory and Mathematics 732
- Molecular Biology 2.6k
- Genetics 264
- Oncology 553
Countries citing papers authored by Daniel K. Treiber
This map shows the geographic impact of Daniel K. Treiber'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 Daniel K. Treiber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel K. Treiber more than expected).
Fields of papers citing papers by Daniel K. Treiber
This network shows the impact of papers produced by Daniel K. Treiber. 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 Daniel K. Treiber. The network helps show where Daniel K. Treiber may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel K. Treiber, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comprehensive analysis of kinase inhibitor selectivity Hit paper breakdown → | 2011 | 1723 |
| 2 | 2014 | 273 | |
| 3 | 2006 | 225 | |
| 4 | 1999 | 199 | |
| 5 | 1998 | 190 | |
| 6 | 2001 | 169 | |
| 7 | 1994 | 134 | |
| 8 | 1990 | 119 | |
| 9 | 1997 | 105 | |
| 10 | 1998 | 94 | |
| 11 | 2010 | 83 | |
| 12 | 1999 | 74 | |
| 13 | 1992 | 68 | |
| 14 | 2001 | 36 | |
| 15 | 2009 | 28 | |
| 16 | 2019 | 20 | |
| 17 | 2013 | 15 | |
| 18 | 2000 | 15 | |
| 19 | 2011 | 14 | |
| 20 | 2012 | 10 |
About Daniel K. Treiber
Daniel K. Treiber is a scholar working on Molecular Biology, Oncology, Hematology, Ecology and Genetics, having authored 25 papers that have together received 3.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), DNA Repair Mechanisms (3 papers), Protein Degradation and Inhibitors (3 papers), HER2/EGFR in Cancer Research (3 papers) and DNA and Nucleic Acid Chemistry (3 papers). The work is most often cited by research in Hematology (449 citations), Computational Theory and Mathematics (732 citations), Molecular Biology (2.6k citations), Genetics (264 citations) and Oncology (553 citations). Daniel K. Treiber has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include James R. Williamson, Patrick P. Zarrinkar, Lisa Wodicka, Pietro Ciceri, Jeremy P. Hunt, Gabriel Pallares, Mindy I. Davis, Sanna Herrgård, Michael Höcker and Martha Rook. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Nature Biotechnology, Journal of Molecular Biology, Cancer Research and Proceedings of the National Academy of Sciences.
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.