Samiul Hasan

2.5k total citations · 1 hit paper
20 papers, 1.1k citations indexed

About

Samiul Hasan is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Samiul Hasan has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Samiul Hasan's work include Bioinformatics and Genomic Networks (5 papers), Computational Drug Discovery Methods (4 papers) and Scientific Computing and Data Management (3 papers). Samiul Hasan is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Computational Drug Discovery Methods (4 papers) and Scientific Computing and Data Management (3 papers). Samiul Hasan collaborates with scholars based in United Kingdom, United States and Singapore. Samiul Hasan's co-authors include Vinod Kumar, James R. Brown, José Garcia-Bustos, Darren V. S. Green, Emilio Fernández Álvarez, Catherine E. Peishoff, Laura M. Sanz, Jaume Vidal, Lon R. Cardon and Francisco‐Javier Gamo and has published in prestigious journals such as Nature, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Samiul Hasan

18 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Thousands of chemical starting points for antimalarial lead identification

2010 705 citations Francisco‐Javier Gamo, Laura M. Sanz et al. Nature profile →

Peers

Samiul Hasan

PHEOH

CTM

EPIDE

Ursula Eckstein‐Ludwig United Kingdom

Joël Lelièvre Spain

Esperanza Herreros Spain

Laura M. Sanz Spain

Nobutaka Kato United States

Thierry T. Diagana Singapore

P. G. Bray United Kingdom

Bärbel Bergmann Germany

Thomas Spangenberg Germany

Ursula Eckstein‐Ludwig United Kingdom

Samiul Hasan

401 ×0.8

826 ×1.8

PHEOH

344 ×1.0

CTM

150 ×0.6

201 ×1.2

EPIDE

Citations per year, relative to Samiul Hasan Samiul Hasan (= 1×) peers Ursula Eckstein‐Ludwig

Countries citing papers authored by Samiul Hasan

Since Specialization

Citations

This map shows the geographic impact of Samiul Hasan'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 Samiul Hasan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samiul Hasan more than expected).

Fields of papers citing papers by Samiul Hasan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samiul Hasan. 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 Samiul Hasan. The network helps show where Samiul Hasan may publish in the future.

Co-authorship network of co-authors of Samiul Hasan

This figure shows the co-authorship network connecting the top 25 collaborators of Samiul Hasan. A scholar is included among the top collaborators of Samiul Hasan 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 Samiul Hasan. Samiul Hasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Schmidlin, Thierry, Enas M. Behiry, Garry Dolton, et al.. (2025). MR1-ligand cross-linking identifies vitamin B6 metabolites as TCR-reactive antigens. Cell Reports Methods. 5(8). 101120–101120.

Gu, Wei, Samiul Hasan, Philippe Rocca‐Serra, & Venkata Satagopam. (2020). Road to effective data curation for translational research. Drug Discovery Today. 26(3). 626–630. 8 indexed citations

Hasan, Samiul, Edward A. Fox, Keith Bisset, & Madhav Marathe. (2017). EpiK: A Knowledge Base for Epidemiological Modeling and Analytics of Infectious Diseases. PubMed. 1(2). 260–303. 3 indexed citations

Khaladkar, Mugdha, Gautier Koscielny, Samiul Hasan, et al.. (2017). Uncovering novel repositioning opportunities using the Open Targets platform. Drug Discovery Today. 22(12). 1800–1807. 12 indexed citations

Sarntivijai, Sirarat, Drashtti Vasant, Simon Jupp, et al.. (2016). Linking rare and common disease: mapping clinical disease-phenotypes to ontologies in therapeutic target validation. Journal of Biomedical Semantics. 7(1). 8–8. 25 indexed citations

Rowland, Francis, Miguel Pignatelli, Luca Fumis, et al.. (2016). UX Design meets biological data visualization. Faculty of 1000 Research Ltd. 5.

Davies, Mark, Nathan Dedman, Anne Hersey, et al.. (2015). ADME SARfari: comparative genomics of drug metabolizing systems. Bioinformatics. 31(10). 1695–1697. 10 indexed citations

Ross, Lisa, Joseph Horton, Samiul Hasan, et al.. (2014). HIV-1 Transmission Patterns in Antiretroviral Therapy-Naïve, HIV-Infected North Americans Based on Phylogenetic Analysis by Population Level and Ultra-Deep DNA Sequencing. PLoS ONE. 9(2). e89611–e89611. 4 indexed citations

Hasan, Samiul, Sandeep Gupta, Edward A. Fox, Keith Bisset, & Madhav Marathe. (2014). Data mapping framework in a digital library with computational epidemiology datasets. 449–450. 2 indexed citations

10.

Vamathevan, Jessica, Matthew D. Hall, Samiul Hasan, et al.. (2013). Minipig and beagle animal model genomes aid species selection in pharmaceutical discovery and development. Toxicology and Applied Pharmacology. 270(2). 149–157. 40 indexed citations

11.

Hasan, Samiul, et al.. (2013). An Extensible Digital Library Service to Support Network Science. Procedia Computer Science. 18. 419–428. 1 indexed citations

12.

Vavro, Cindy, Samiul Hasan, Joseph Horton, et al.. (2013). Prevalent Polymorphisms in Wild-Type HIV-1 Integrase Are Unlikely To Engender Drug Resistance to Dolutegravir (S/GSK1349572). Antimicrobial Agents and Chemotherapy. 57(3). 1379–1384. 17 indexed citations

13.

Hasan, Samiul, Bhushan Bonde, Natalie Buchan, & Matthew D. Hall. (2012). Network analysis has diverse roles in drug discovery. Drug Discovery Today. 17(15-16). 869–874. 35 indexed citations

14.

Gamo, Francisco‐Javier, Laura M. Sanz, Jaume Vidal, et al.. (2010). Thousands of chemical starting points for antimalarial lead identification. Nature. 465(7296). 305–310. 705 indexed citations breakdown →

15.

Vamathevan, Jessica, Samiul Hasan, Richard D. Emes, et al.. (2008). The role of positive selection in determining the molecular cause of species differences in disease. BMC Evolutionary Biology. 8(1). 273–273. 75 indexed citations

16.

Kamani, Lubna, et al.. (2007). Rectal tuberculosis: the great mimic. Endoscopy. 39(S 1). E227–E228. 3 indexed citations

17.

Teo, Jeanette, Pamela Thayalan, David Beer, et al.. (2006). Peptide Deformylase Inhibitors as Potent Antimycobacterial Agents. Antimicrobial Agents and Chemotherapy. 50(11). 3665–3673. 47 indexed citations

18.

Hasan, Samiul & Mark Schreiber. (2006). Recovering motifs from biased genomes: application of signal correction. Nucleic Acids Research. 34(18). 5124–5132. 5 indexed citations

19.

Hasan, Samiul, Sabine Daugelat, P. S. Srinivasa Rao, & Mark Schreiber. (2006). Prioritizing Genomic Drug Targets in Pathogens: Application to Mycobacterium tuberculosis. PLoS Computational Biology. 2(6). e61–e61. 125 indexed citations

20.

Hasan, Samiul, et al.. (2005). Prioritizing genomic drug targets in pathogens. PLoS Computational Biology. preprint(2006). e61–e61. 1 indexed citations

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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