Paul Tapang
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- Cancer-related Molecular Pathways
- Peptidase Inhibition and Analysis
Papers in
-
- Chronic Myeloid Leukemia Treatments 3
- Acute Myeloid Leukemia Research 2
- Genetics 3
- Co-authors
- Joel JohanssonDaniel H. AlbertSteven K. DavidsenVincent L. GirandaRan GuanDaniel AlbertYan LuoMichael L. Curtin
- Journals
- Bioorganic & Medicinal Chemistry Letters (6 papers)Journal of Pharmacology and Experimental Therapeutics (4 papers)Cancer Research (4 papers)Molecular Cancer Therapeutics (2 papers)Blood (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Paul Tapang
28 papers receiving 758 citations
Peers
Comparison fields: 5 of 75
- Hematology 149
- Oncology 236
- Cell Biology 123
- Genetics 79
- Molecular Biology 444
Countries citing papers authored by Paul Tapang
This map shows the geographic impact of Paul Tapang'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 Paul Tapang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Tapang more than expected).
Fields of papers citing papers by Paul Tapang
This network shows the impact of papers produced by Paul Tapang. 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 Paul Tapang. The network helps show where Paul Tapang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul Tapang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 223 | |
| 2 | 2014 | 1 | |
| 3 | 2012 | 19 | |
| 4 | 2012 | 4 | |
| 5 | 2011 | 17 | |
| 6 | 2011 | 17 | |
| 7 | 2009 | 27 | |
| 8 | 2009 | 16 | |
| 9 | 2005 | 122 | |
| 10 | ABT-869 a novel multi-targeted receptor tyrosine kinase inhibitor: characterization of FLT3 phosphorylation in a model of acute myelogenous leukemia | 2005 | 0 |
| 11 | 2005 | 2 | |
| 12 | 2003 | 34 | |
| 13 | 2003 | 67 | |
| 14 | 1997 | 6 | |
| 15 | 1997 | 25 | |
| 16 | 1996 | 5 | |
| 17 | 1996 | 12 | |
| 18 | ABT-299, a potent antagonist of platelet activating factor. | 1995 | 2 |
| 19 | 1995 | 6 | |
| 20 | 1995 | 3 |
About Paul Tapang
Paul Tapang is a scholar working on Hematology, Genetics, Oncology, Cell Biology and Pharmacology, having authored 29 papers that have together received 773 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (4 papers), Protein Degradation and Inhibitors (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Cancer therapeutics and mechanisms (3 papers), Cancer-related Molecular Pathways (3 papers), Lung Cancer Treatments and Mutations (3 papers), Acute Myeloid Leukemia Research (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Hematology (149 citations), Oncology (236 citations), Cell Biology (123 citations), Genetics (79 citations) and Molecular Biology (444 citations). Paul Tapang has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Joel Johansson, Daniel H. Albert, Steven K. Davidsen, Vincent L. Giranda, Ran Guan, Daniel Albert, Yan Luo, Michael L. Curtin, Patrick A. Marcotte and Andrew J. Souers. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics, Cancer Research, Molecular Cancer Therapeutics and Blood.
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.