Paul Tapang

1.5k citations
29 papers · 773 indexed · h-index 14

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

Paul Tapang

28 papers receiving 758 citations

Peers

Paul Tapang
Comparison fields: 5 of 75
  • Hematology 149
  • Oncology 236
  • Cell Biology 123
  • Genetics 79
  • Molecular Biology 444
Replace Michelle L. Kraus with:
Michelle L. Kraus United States
Banibrata Sen United States
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Daniel Scheibe United States
Kylie A. Hotchkiss United States
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Leslie Giampa United States
Hannah J. Lomax-Browne United Kingdom
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Citations per field
00.5×1.5×2.4×
Michelle L. Kraus · 1×
Citations per year

Countries citing papers authored by Paul Tapang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Paul Tapang Line = papers co-authored together Paul Tapang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2016223
2 20141
3 201219
4 20124
5 201117
6 201117
7 200927
8 200916
9 2005122
10
ABT-869 a novel multi-targeted receptor tyrosine kinase inhibitor: characterization of FLT3 phosphorylation in a model of acute myelogenous leukemia
20050
11 20052
12 200334
13 200367
14 19976
15 199725
16 19965
17 199612
18
ABT-299, a potent antagonist of platelet activating factor.
19952
19 19956
20 19953

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.

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