Brian J. Tunquist
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
- Cell Biology 15
- Microtubule and mitosis dynamics 15
- Hematology 12
- Multiple Myeloma Research and Treatments 11
- Co-authors
- James L. Maller (5 shared papers)Markus S. Schwab (4 shared papers)Duncan H. Walker (7 shared papers)John D. Scott (4 shared papers)Lorene K. Langeberg (4 shared papers)Richard D. Woessner (4 shared papers)B.Tibor Roberts (3 shared papers)Stefan David Gross (3 shared papers)
- Journals
- Blood (7 papers)Journal of Biological Chemistry (3 papers)Current Biology (2 papers)Biology of the Cell (1 paper)Cancer Medicine (1 paper)
- Partner nations
- United StatesSpainPoland
In The Last Decade
Brian J. Tunquist
27 papers receiving 754 citations
Peers
Comparison fields: 5 of 62
- Cell Biology 340
- Hematology 97
- Molecular Biology 579
- Aging 9
- Public Health, Environmental and Occupational Health 135
Countries citing papers authored by Brian J. Tunquist
This map shows the geographic impact of Brian J. 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 J. 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 J. Tunquist more than expected).
Fields of papers citing papers by Brian J. Tunquist
This network shows the impact of papers produced by Brian J. 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 J. Tunquist. The network helps show where Brian J. Tunquist may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian J. 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 134 | |
| 2 | 2001 | 87 | |
| 3 | 2002 | 77 | |
| 4 | 2010 | 66 | |
| 5 | ARRY-520, a novel KSP inhibitor with potent activity in hematological and taxane-resistant tumor models. | 2009 | 54 |
| 6 | 2003 | 48 | |
| 7 | Pim-1 protein kinase is nuclear in Burkitt's lymphoma: nuclear localization is necessary for its biologic effects. | 2003 | 44 |
| 8 | 2011 | 37 | |
| 9 | 2016 | 34 | |
| 10 | 2002 | 33 | |
| 11 | 2015 | 25 | |
| 12 | 2001 | 24 | |
| 13 | 2011 | 24 | |
| 14 | 2017 | 22 | |
| 15 | 2021 | 12 | |
| 16 | 2012 | 10 | |
| 17 | 2015 | 9 | |
| 18 | 2013 | 7 | |
| 19 | 2013 | 5 | |
| 20 | 2016 | 5 |
About Brian J. Tunquist
Brian J. Tunquist is a scholar working on Cell Biology, Hematology, Molecular Biology, Oncology and Cancer Research, having authored 27 papers that have together received 770 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (15 papers), Multiple Myeloma Research and Treatments (11 papers), Protein Degradation and Inhibitors (6 papers), Ubiquitin and proteasome pathways (4 papers), Reproductive Biology and Fertility (3 papers), 14-3-3 protein interactions (2 papers), Plant Molecular Biology Research (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Cell Biology (340 citations), Hematology (97 citations), Molecular Biology (579 citations), Aging (9 citations) and Public Health, Environmental and Occupational Health (135 citations). Brian J. Tunquist has collaborated with scholars based in United States, Spain and Poland. Frequent co-authors include James L. Maller, Markus S. Schwab, Duncan H. Walker, John D. Scott, Lorene K. Langeberg, Richard D. Woessner, B.Tibor Roberts, Stefan David Gross, Andrea L. Lewellyn and Frédéric E. Taieb. Their work appears in journals such as Blood, Journal of Biological Chemistry, Current Biology, Biology of the Cell and Cancer Medicine.
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.