Arwin Aban
Impact in
-
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Chemical Synthesis and Analysis
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- Organic Chemistry top 10%
- Click Chemistry and Applications
Papers in ⓘ
- Oncology 6
- Cancer-related Molecular Pathways 3
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- Computational Drug Discovery Methods 3
- Co-authors
- Tyzoon Nomanbhoy (13 shared papers)John W. Kozarich (9 shared papers)Helge Weissig (3 shared papers)Matthew P. Patricelli (3 shared papers)Marek Liyanage (4 shared papers)Anna Katrin Szardenings (3 shared papers)Min Wu (1 shared paper)Stephen Tanner (1 shared paper)
- Journals
- Biochemistry (4 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)Assay and Drug Development Technologies (2 papers)Molecular Cancer Therapeutics (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Arwin Aban
13 papers receiving 720 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 575
- Organic Chemistry 211
- Spectroscopy 120
- Cell Biology 102
- Oncology 165
Countries citing papers authored by Arwin Aban
This map shows the geographic impact of Arwin Aban'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 Arwin Aban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arwin Aban more than expected).
Fields of papers citing papers by Arwin Aban
This network shows the impact of papers produced by Arwin Aban. 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 Arwin Aban. The network helps show where Arwin Aban may publish in the future.
Co-authors
The 25 scholars most cited alongside Arwin Aban, 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 | 2006 | 341 | |
| 2 | 2011 | 259 | |
| 3 | 2019 | 30 | |
| 4 | 2016 | 26 | |
| 5 | 2011 | 20 | |
| 6 | 2013 | 20 | |
| 7 | 2015 | 20 | |
| 8 | 2003 | 8 | |
| 9 | 2019 | 8 | |
| 10 | 2011 | 7 | |
| 11 | 2016 | 6 | |
| 12 | 2013 | 2 | |
| 13 | 2003 | 1 |
About Arwin Aban
Arwin Aban is a scholar working on Oncology, Computational Theory and Mathematics, Genetics, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 748 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Cancer-related Molecular Pathways (3 papers), Click Chemistry and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Melanoma and MAPK Pathways (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Molecular Biology (575 citations), Organic Chemistry (211 citations), Spectroscopy (120 citations), Cell Biology (102 citations) and Oncology (165 citations). Arwin Aban has collaborated with scholars based in United States and Spain. Frequent co-authors include Tyzoon Nomanbhoy, John W. Kozarich, Helge Weissig, Matthew P. Patricelli, Marek Liyanage, Anna Katrin Szardenings, Min Wu, Stephen Tanner, Doris Chun and Heidi E. Brown. Their work appears in journals such as Biochemistry, Bioorganic & Medicinal Chemistry Letters, Assay and Drug Development Technologies, Molecular Cancer Therapeutics and PLoS ONE.
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.