Archibald S. Perkins
- Hematology top 2%
- Acute Myeloid Leukemia Research 18
- Hematopoietic Stem Cell Transplantation 4
- Neurology top 5%
- Molecular Biology top 10%
- Protein Degradation and Inhibitors 7
- Epigenetics and DNA Methylation 6
- Genomics and Chromatin Dynamics 4
- Retinoids in leukemia and cellular processes 3
- Genetics top 5%
- Oncology top 10%
- Cancer-related Molecular Pathways 3
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Luis F. ParadaBrian R. StantonDavid SassoonLino TessarolloNeal G. CopelandMichael L. NordlundCamilynn I. BrannanArthur M. Buchberg
- Cited by
- HematologyNeurologyMolecular Biology
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Archibald S. Perkins
42 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 99
- Hematology 417
- Neurology 402
- Molecular Biology 1.2k
- Genetics 172
- Oncology 425
Countries citing papers authored by Archibald S. Perkins
This map shows the geographic impact of Archibald S. Perkins'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 Archibald S. Perkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Archibald S. Perkins more than expected).
Fields of papers citing papers by Archibald S. Perkins
This network shows the impact of papers produced by Archibald S. Perkins. 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 Archibald S. Perkins. The network helps show where Archibald S. Perkins may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Archibald S. Perkins, 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 | 2025 | 4 | |
| 2 | 2021 | 15 | |
| 3 | 2020 | 172 | |
| 4 | 2020 | 6 | |
| 5 | 2019 | 36 | |
| 6 | 2018 | 37 | |
| 7 | 2016 | 15 | |
| 8 | 2014 | 48 | |
| 9 | 2014 | 21 | |
| 10 | 2013 | 17 | |
| 11 | 2008 | 82 | |
| 12 | 2006 | 19 | |
| 13 | 2004 | 62 | |
| 14 | 2003 | 16 | |
| 15 | 2002 | 27 | |
| 16 | 2002 | 15 | |
| 17 | 2001 | 7 | |
| 18 | 1998 | 11 | |
| 19 | 1996 | 23 | |
| 20 | 1981 | 76 |
About Archibald S. Perkins
Archibald S. Perkins is a scholar working on Hematology, Molecular Biology and Genetics, having authored 42 papers that have together received 2.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (18 papers), Protein Degradation and Inhibitors (7 papers), Epigenetics and DNA Methylation (6 papers), Hematopoietic Stem Cell Transplantation (4 papers), Genomics and Chromatin Dynamics (4 papers), Retinoids in leukemia and cellular processes (3 papers), Cancer-related Molecular Pathways (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Hematology (417 citations), Neurology (402 citations) and Molecular Biology (1.2k citations). Archibald S. Perkins has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Luis F. Parada, Brian R. Stanton, David Sassoon, Lino Tessarollo, Neal G. Copeland, Michael L. Nordlund, Camilynn I. Brannan, Arthur M. Buchberg, Nancy Ratner and Kristine S. Vogel. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.