Saiful Islam
- Cancer Research top 2%
- Biophysics top 1%
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics 5
- Immunology top 5%
- T-cell and Retrovirus Studies 3
- Immune Cell Function and Interaction 3
- Hematology top 5%
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- HIV Research and Treatment 9
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- HIV/AIDS drug development and treatment 6
- HIV/AIDS Research and Interventions 3
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- Vibrio bacteria research studies 5
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- Animal Disease Management and Epidemiology 3
- Co-authors
- Sten LinnarssonPeter LönnerbergPaweł ZającUna KjällquistAnnalena MolinerAmit ZeiselMaria KasperGioele La Manno
- Journals
- Cell Reports (3 papers)Scientific Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesJapanBangladesh
In The Last Decade
Saiful Islam
32 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cancer Research 647
- Biophysics 202
- Molecular Biology 2.2k
- Immunology 658
- Hematology 267
Countries citing papers authored by Saiful Islam
This map shows the geographic impact of Saiful Islam'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 Saiful Islam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saiful Islam more than expected).
Fields of papers citing papers by Saiful Islam
This network shows the impact of papers produced by Saiful Islam. 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 Saiful Islam. The network helps show where Saiful Islam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Saiful Islam, 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 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 11 | |
| 5 | 2022 | 24 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 0 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 21 | |
| 10 | 2020 | 14 | |
| 11 | 2019 | 26 | |
| 12 | 2019 | 62 | |
| 13 | 2017 | 21 | |
| 14 | 2016 | 23 | |
| 15 | 2015 | 64 | |
| 16 | 2014 | 40 | |
| 17 | Quantitative single-cell RNA-seq with unique molecular identifiersbreakdown → | 2013 | 812 |
| 18 | 2013 | 44 | |
| 19 | Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seqbreakdown → | 2011 | 700 |
| 20 | Satellites and Human Health: Potential for Tracking Cholera Outbreaks | 2009 | 2 |
About Saiful Islam
Saiful Islam is a scholar working on Virology, Endocrinology, Immunology, Molecular Medicine and Infectious Diseases, having authored 34 papers that have together received 2.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), HIV/AIDS drug development and treatment (6 papers), Single-cell and spatial transcriptomics (5 papers), Vibrio bacteria research studies (5 papers), T-cell and Retrovirus Studies (3 papers), Immune Cell Function and Interaction (3 papers), HIV/AIDS Research and Interventions (3 papers) and Animal Disease Management and Epidemiology (3 papers). The work is most often cited by research in Cancer Research (647 citations), Biophysics (202 citations), Molecular Biology (2.2k citations), Immunology (658 citations) and Hematology (267 citations). Saiful Islam has collaborated with scholars based in United States, Japan and Bangladesh. Frequent co-authors include Sten Linnarsson, Peter Lönnerberg, Paweł Zając, Una Kjällquist, Annalena Moliner, Amit Zeisel, Maria Kasper, Gioele La Manno, Simon Joost and Jian-Bing Fan. Their work appears in journals such as Cell Reports, Scientific Reports, Proceedings of the National Academy of Sciences, Nature Methods and Infection Genetics and Evolution.
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.