Brian Tunquist
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Aging top 10%
Papers in
-
- Ubiquitin and proteasome pathways 5
- Protein Degradation and Inhibitors 4
- 14-3-3 protein interactions 2
- Wnt/β-catenin signaling in development and cancer 2
- Cell Biology 15
- Microtubule and mitosis dynamics 15
- Co-authors
- James L. Maller (6 shared papers)Markus S. Schwab (4 shared papers)Lorene K. Langeberg (4 shared papers)Duncan Walker (8 shared papers)John D. Scott (4 shared papers)Richard Woessner (6 shared papers)Andrea L. Lewellyn (2 shared papers)B.Tibor Roberts (3 shared papers)
- Journals
- Blood (6 papers)Journal of Biological Chemistry (3 papers)Current Biology (2 papers)Molecular Cancer Therapeutics (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesSpainPoland
In The Last Decade
Brian Tunquist
28 papers receiving 974 citations
Peers
Comparison fields: 5 of 69
- Cell Biology 440
- Aging 25
- Molecular Biology 718
- Public Health, Environmental and Occupational Health 248
- Hematology 89
Countries citing papers authored by Brian Tunquist
This map shows the geographic impact of Brian Tunquist'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 Brian Tunquist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Tunquist more than expected).
Fields of papers citing papers by Brian Tunquist
This network shows the impact of papers produced by Brian Tunquist. 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 Brian Tunquist. The network helps show where Brian Tunquist may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Tunquist, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 210 | |
| 2 | 2008 | 134 | |
| 3 | 2001 | 90 | |
| 4 | 2002 | 80 | |
| 5 | 2010 | 59 | |
| 6 | ARRY-520, a novel KSP inhibitor with potent activity in hematological and taxane-resistant tumor models. | 2009 | 53 |
| 7 | 2003 | 49 | |
| 8 | Pim-1 protein kinase is nuclear in Burkitt's lymphoma: nuclear localization is necessary for its biologic effects. | 2003 | 42 |
| 9 | 2011 | 37 | |
| 10 | 2016 | 33 | |
| 11 | 2002 | 32 | |
| 12 | 2001 | 24 | |
| 13 | 2011 | 24 | |
| 14 | 2015 | 24 | |
| 15 | 2017 | 22 | |
| 16 | 2010 | 22 | |
| 17 | 2021 | 11 | |
| 18 | 2012 | 10 | |
| 19 | 2013 | 7 | |
| 20 | 2011 | 6 |
About Brian Tunquist
Brian Tunquist is a scholar working on Molecular Biology, Cell Biology, Hematology, Oncology and Public Health, Environmental and Occupational Health, having authored 28 papers that have together received 987 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (15 papers), Multiple Myeloma Research and Treatments (10 papers), Ubiquitin and proteasome pathways (5 papers), Protein Degradation and Inhibitors (4 papers), Reproductive Biology and Fertility (4 papers), 14-3-3 protein interactions (2 papers), Cancer-related Molecular Pathways (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Cell Biology (440 citations), Aging (25 citations), Molecular Biology (718 citations), Public Health, Environmental and Occupational Health (248 citations) and Hematology (89 citations). Brian Tunquist has collaborated with scholars based in United States, Spain and Poland. Frequent co-authors include James L. Maller, Markus S. Schwab, Lorene K. Langeberg, Duncan Walker, John D. Scott, Richard Woessner, Andrea L. Lewellyn, B.Tibor Roberts, Stefan Groß and Frédéric Taïeb. Their work appears in journals such as Blood, Journal of Biological Chemistry, Current Biology, Molecular Cancer Therapeutics and Clinical Cancer Research.
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.