Samir Rahman
Impact in
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- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Single-cell and spatial transcriptomics
- Nuclear Structure and Function
Papers in
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- Genomics and Chromatin Dynamics 9
- RNA Research and Splicing 6
- Epigenetics and DNA Methylation 4
- Single-cell and spatial transcriptomics 4
- RNA and protein synthesis mechanisms 3
- Genetics 4
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Daniel Zenklusen (6 shared papers)Mihaela Gadjeva (2 shared papers)Manuele Castelnuovo (1 shared paper)Françoise Stutz (1 shared paper)Elisa Guffanti (1 shared paper)Srivathsan Adivarahan (1 shared paper)Bin Wu (1 shared paper)Olivia S. Rissland (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Molecular Cell (1 paper)Current topics in behavioral neurosciences (1 paper)Nature Structural & Molecular Biology (1 paper)Alzheimer s & Dementia (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Samir Rahman
16 papers receiving 602 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 453
- Neurology 38
- Biological Psychiatry 10
- Endocrinology 21
- Immunology 82
Countries citing papers authored by Samir Rahman
This map shows the geographic impact of Samir 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 Samir Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samir Rahman more than expected).
Fields of papers citing papers by Samir Rahman
This network shows the impact of papers produced by Samir 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 Samir Rahman. The network helps show where Samir Rahman may publish in the future.
Co-authors
The 25 scholars most cited alongside Samir Rahman, 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 | 2013 | 113 | |
| 2 | 2018 | 112 | |
| 3 | 2022 | 77 | |
| 4 | 2023 | 57 | |
| 5 | 2015 | 56 | |
| 6 | 2014 | 48 | |
| 7 | 2016 | 41 | |
| 8 | 2014 | 41 | |
| 9 | 2013 | 28 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 8 | |
| 12 | 2017 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2023 | 1 | |
| 16 | 2021 | 1 |
About Samir Rahman
Samir Rahman is a scholar working on Molecular Biology, Genetics, Neurology, Endocrinology and Immunology, having authored 16 papers that have together received 603 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (9 papers), RNA Research and Splicing (6 papers), Epigenetics and DNA Methylation (4 papers), Single-cell and spatial transcriptomics (4 papers), RNA and protein synthesis mechanisms (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Legionella and Acanthamoeba research (2 papers). The work is most often cited by research in Molecular Biology (453 citations), Neurology (38 citations), Biological Psychiatry (10 citations), Endocrinology (21 citations) and Immunology (82 citations). Samir Rahman has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Daniel Zenklusen, Mihaela Gadjeva, Manuele Castelnuovo, Françoise Stutz, Elisa Guffanti, Srivathsan Adivarahan, Bin Wu, Olivia S. Rissland, Nathan M. Livingston and Beth Nicholson. Their work appears in journals such as Nucleic Acids Research, Molecular Cell, Current topics in behavioral neurosciences, Nature Structural & Molecular Biology and Alzheimer s & Dementia.
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.