Saiful Islam

34 papers receiving 3.0k citations

Saiful Islam's Hit Papers

Human haematopoietic stem cell lineage commitment is a continuous process 2017 · 565 citations
5650+5+10Years since publication250500750

Peers

Saiful Islam
Comparison fields: 5 of 110
  • Cancer Research 616
  • Biophysics 200
  • Immunology 651
  • Molecular Biology 2.2k
  • Hematology 262
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Xi Shi United States
Yong Yu China
Martin Prlic United States
Vivek Bhardwaj Germany
Kosuke Yusa United Kingdom
Brian C. Schaefer United States
Mudra Hegde United States
Kévin Lebrigand France
Franklin L. Zhong United States
Alla A. Sigova United States
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Countries citing papers authored by Saiful Islam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Saiful Islam Line = papers co-authored together Saiful Islam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantitative single-cell RNA-seq with unique molecular identifiers
Hit paper breakdown →
2013844
2
Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq
Hit paper breakdown →
2011734
3
Human haematopoietic stem cell lineage commitment is a continuous process
Hit paper breakdown →
2017565
4 2012210
5 201688
6 201967
7 201565
8 201963
9 201347
10 201441
11 201934
12 202126
13 201926
14 202226
15 201625
16 201723
17 202317
18 202015
19 202015
20 202113

About Saiful Islam

Saiful Islam is a scholar working on Molecular Biology, Virology, Immunology, Infectious Diseases and Endocrinology, having authored 36 papers that have together received 3.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), Single-cell and spatial transcriptomics (6 papers), HIV/AIDS drug development and treatment (6 papers), Vibrio bacteria research studies (5 papers), Immune Cell Function and Interaction (4 papers), T-cell and Retrovirus Studies (3 papers), HIV/AIDS Research and Interventions (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Cancer Research (616 citations), Biophysics (200 citations), Immunology (651 citations), Molecular Biology (2.2k citations) and Hematology (262 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, Maria Kasper, Amit Zeisel, Simon Joost, Gioele La Manno and Jian-Bing Fan. Their work appears in journals such as Cell Reports, Journal of Virology, Scientific Reports, Proceedings of the National Academy of Sciences and Nature Methods.

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.

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