Paul Tapang
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- Cancer-related Molecular Pathways
- Peptidase Inhibition and Analysis
Papers in
-
- Protein Degradation and Inhibitors 4
- Receptor Mechanisms and Signaling 2
- Oncology 7
- Cancer-related Molecular Pathways 3
- Co-authors
- Daniel H. Albert (23 shared papers)Steven K. Davidsen (18 shared papers)Daniel Albert (1 shared paper)Yan Luo (1 shared paper)Ran Guan (1 shared paper)Vincent L. Giranda (1 shared paper)Michael L. Curtin (9 shared papers)Andrew J. Souers (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (6 papers)Journal of Pharmacology and Experimental Therapeutics (4 papers)Cancer Research (4 papers)Journal of Medicinal Chemistry (2 papers)Blood (2 papers)
- Partner nations
- United StatesUnited KingdomVenezuela
In The Last Decade
Paul Tapang
28 papers receiving 763 citations
Peers
Comparison fields: 5 of 71
- Hematology 139
- Oncology 206
- Cell Biology 121
- Genetics 71
- Molecular Biology 415
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-authors
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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 224 | |
| 2 | 2005 | 122 | |
| 3 | 2001 | 79 | |
| 4 | 2003 | 68 | |
| 5 | 2003 | 34 | |
| 6 | 1998 | 28 | |
| 7 | 1998 | 28 | |
| 8 | 2009 | 27 | |
| 9 | 1997 | 25 | |
| 10 | 2012 | 19 | |
| 11 | 2011 | 17 | |
| 12 | 2011 | 17 | |
| 13 | 2009 | 16 | |
| 14 | 1990 | 16 | |
| 15 | 1996 | 12 | |
| 16 | 1995 | 6 | |
| 17 | 1997 | 6 | |
| 18 | 2016 | 6 | |
| 19 | 1996 | 5 | |
| 20 | 2012 | 4 |
About Paul Tapang
Paul Tapang is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Organic Chemistry and Hematology, having authored 29 papers that have together received 775 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (4 papers), Microtubule and mitosis dynamics (4 papers), Cancer-related Molecular Pathways (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Lung Cancer Treatments and Mutations (3 papers), Chemical synthesis and pharmacological studies (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Hematology (139 citations), Oncology (206 citations), Cell Biology (121 citations), Genetics (71 citations) and Molecular Biology (415 citations). Paul Tapang has collaborated with scholars based in United States, United Kingdom and Venezuela. Frequent co-authors include Daniel H. Albert, Steven K. Davidsen, Daniel Albert, Yan Luo, Ran Guan, Vincent L. Giranda, Michael L. Curtin, Andrew J. Souers, Patrick A. Marcotte and Joel D. Leverson. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics, Cancer Research, Journal of Medicinal Chemistry 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.