M. Abdur Rahman
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Organic Chemistry
- Neurology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Anita H. LewinJohn W. BojaBert Fraser‐ReidPhilip AbrahamF. Ivy CarrollYigong GaoMichael J. KuharM J Kuhar
- Topics
- Neurotransmitter Receptor Influence on Behavior (5 papers)Neuroscience and Neuropharmacology Research (4 papers)Receptor Mechanisms and Signaling (3 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Medicinal ChemistryThe Journal of Organic Chemistry
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
M. Abdur Rahman
12 papers receiving 436 citations
Peers
Comparison fields: 5 of 60
- Cellular and Molecular Neuroscience 281
- Molecular Biology 216
- Organic Chemistry 115
- Neurology 55
- Radiology, Nuclear Medicine and Imaging 39
Countries citing papers authored by M. Abdur Rahman
This map shows the geographic impact of M. Abdur Rahman'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 M. Abdur Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Abdur Rahman more than expected).
Fields of papers citing papers by M. Abdur Rahman
This network shows the impact of papers produced by M. Abdur Rahman. 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 M. Abdur Rahman. The network helps show where M. Abdur Rahman may publish in the future.
Co-authorship network of co-authors of M. Abdur Rahman
This figure shows the co-authorship network connecting the top 25 collaborators of M. Abdur Rahman. A scholar is included among the top collaborators of M. Abdur Rahman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Abdur Rahman. M. Abdur Rahman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 6 | |
| 3 | 8 | |
| 4 | 133 | |
| 5 | 119 | |
| 6 | 17 | |
| 7 | 32 | |
| 8 | 64 | |
| 9 | [125I]3b-(4-Iodophenyl)tropan-2b-carboxylic Acid Methyl Ester (RTI-55), A Unique Cocaine Receptor Ligand for Imaging the Dopamine and Serotonin Transporters in Vivo | 1 |
| 10 | 18 | |
| 11 | 39 | |
| 12 | 12 |
About M. Abdur Rahman
M. Abdur Rahman is a scholar working on Toxicology, Cellular and Molecular Neuroscience and Pharmacology, having authored 12 papers that have together received 455 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (281 citations), Toxicology (26 citations) and Pharmaceutical Science (27 citations). M. Abdur Rahman has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Anita H. Lewin, John W. Boja, Bert Fraser‐Reid, Philip Abraham, F. Ivy Carroll, Philip Abraham, Yigong Gao, Michael J. Kuhar, M J Kuhar and Amrat Patel. Their work appears in journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and The Journal of Organic Chemistry.
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.