Asif U. Tamuri

2.0k total citations
19 papers, 631 citations indexed

About

Asif U. Tamuri is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Asif U. Tamuri has authored 19 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Epidemiology. Recurrent topics in Asif U. Tamuri's work include Genomics and Phylogenetic Studies (8 papers), Genetic diversity and population structure (6 papers) and Evolution and Genetic Dynamics (4 papers). Asif U. Tamuri is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Genetic diversity and population structure (6 papers) and Evolution and Genetic Dynamics (4 papers). Asif U. Tamuri collaborates with scholars based in United Kingdom, Malawi and France. Asif U. Tamuri's co-authors include Mario dos Reis, Richard A. Goldstein, Nick Goldman, Alan Hay, Ricardo A. Vialle, Ziheng Yang, Fabrícia F. Nascimento, Robert J. Asher, Philip C. J. Donoghue and Emily Carlisle and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Asif U. Tamuri

17 papers receiving 627 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Asif U. Tamuri United Kingdom	11	322	218	160	83	59	19	631
David Enard United States	14	345 1.1×	469 2.2×	66 0.4×	41 0.5×	119 2.0×	24	915
Gili Greenbaum Israel	10	116 0.4×	188 0.9×	73 0.5×	48 0.6×	16 0.3×	25	538
Hisako Gondo Higashi Brazil	11	89 0.3×	210 1.0×	95 0.6×	60 0.7×	40 0.7×	22	491
Martina Bradić United States	11	115 0.4×	172 0.8×	36 0.2×	149 1.8×	17 0.3×	17	549
Sarah L. Fordyce Denmark	12	441 1.4×	365 1.7×	44 0.3×	26 0.3×	25 0.4×	17	686
Felix M. Key Germany	10	147 0.5×	196 0.9×	49 0.3×	28 0.3×	33 0.6×	13	517
Emre Aksoy United States	14	191 0.6×	105 0.5×	154 1.0×	20 0.2×	37 0.6×	20	839
J. Kornegay United States	8	200 0.6×	156 0.7×	303 1.9×	34 0.4×	9 0.2×	9	556
Sree Kanthaswamy United States	17	334 1.0×	345 1.6×	55 0.3×	17 0.2×	48 0.8×	45	839
Guillaume Cornelis France	13	539 1.7×	274 1.3×	80 0.5×	16 0.2×	53 0.9×	15	924

Countries citing papers authored by Asif U. Tamuri

Since Specialization

Citations

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

Fields of papers citing papers by Asif U. Tamuri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Asif U. Tamuri. 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 Asif U. Tamuri. The network helps show where Asif U. Tamuri may publish in the future.

Co-authorship network of co-authors of Asif U. Tamuri

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

All Works

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19 of 19 papers shown

Mangal, Tara D., Margherita Molaro, Dominic Nkhoma, et al.. (2025). Modelling health outcomes of a decade of HIV, malaria and tuberculosis initiatives, Malawi. Bulletin of the World Health Organization. 103(5). 304–315.

Mangal, Tara D., Sakshi Mohan, Tim Colbourn, et al.. (2024). Assessing the effect of health system resources on HIV and tuberculosis programmes in Malawi: a modelling study. The Lancet Global Health. 12(10). e1638–e1648. 1 indexed citations

Molaro, Margherita, Sakshi Mohan, Martin Chalkley, et al.. (2024). A new approach to Health Benefits Package design: an application of the Thanzi La Onse model in Malawi. PLoS Computational Biology. 20(9). e1012462–e1012462.

Cambiano, Valentina, Tim Colbourn, Britta L. Jewell, et al.. (2022). Estimating the health burden of road traffic injuries in Malawi using an individual-based model. Injury Epidemiology. 9(1). 21–21. 5 indexed citations

Venturini, Cristina, Juanita Pang, Asif U. Tamuri, et al.. (2022). Haplotype assignment of longitudinal viral deep sequencing data using covariation of variant frequencies. Virus Evolution. 8(2). veac093–veac093. 8 indexed citations

Tamuri, Asif U. & Mario dos Reis. (2021). A Mutation–Selection Model of Protein Evolution under Persistent Positive Selection. Molecular Biology and Evolution. 39(1). 9 indexed citations

Maio, Nicola De, Alexander V. Alekseyenko, Fabio Pardi, et al.. (2021). A phylogenetic approach for weighting genetic sequences. BMC Bioinformatics. 22(1). 285–285. 2 indexed citations

Álvarez-Carretero, Sandra, Asif U. Tamuri, Fabrícia F. Nascimento, et al.. (2021). A species-level timeline of mammal evolution integrating phylogenomic data. Nature. 602(7896). 263–267. 115 indexed citations

Stirrup, Oliver, Joseph Hughes, Matthew Parker, et al.. (2021). Rapid feedback on hospital onset SARS-CoV-2 infections combining epidemiological and sequencing data. eLife. 10. 19 indexed citations

10.

Halliday, Thomas J. D., et al.. (2019). Rapid morphological evolution in placental mammals post-dates the origin of the crown group. Proceedings of the Royal Society B Biological Sciences. 286(1898). 20182418–20182418. 27 indexed citations

11.

Cudini, Juliana, Sunando Roy, Charlotte J. Houldcroft, et al.. (2019). Human cytomegalovirus haplotype reconstruction reveals high diversity due to superinfection and evidence of within-host recombination. Proceedings of the National Academy of Sciences. 116(12). 5693–5698. 72 indexed citations

12.

Vialle, Ricardo A., Asif U. Tamuri, & Nick Goldman. (2018). Alignment Modulates Ancestral Sequence Reconstruction Accuracy. Molecular Biology and Evolution. 35(7). 1783–1797. 59 indexed citations

13.

Schwarz, Roland F., et al.. (2016). ALVIS: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments. Nucleic Acids Research. 44(8). e77–e77. 6 indexed citations

14.

Tamuri, Asif U., Nick Goldman, & Mario dos Reis. (2014). A Penalized-Likelihood Method to Estimate the Distribution of Selection Coefficients from Phylogenetic Data. Genetics. 197(1). 257–271. 38 indexed citations

15.

Tettmar, Kate I., et al.. (2011). PCR Master Mixes Harbour Murine DNA Sequences. Caveat Emptor!. PLoS ONE. 6(5). e19953–e19953. 43 indexed citations

16.

Tamuri, Asif U., Mario dos Reis, & Richard A. Goldstein. (2011). Estimating the Distribution of Selection Coefficients from Phylogenetic Data Using Sitewise Mutation-Selection Models. Genetics. 190(3). 1101–1115. 83 indexed citations

17.

Reis, Mario dos, Asif U. Tamuri, Alan Hay, & Richard A. Goldstein. (2010). Charting the Host Adaptation of Influenza Viruses. Molecular Biology and Evolution. 28(6). 1755–1767. 29 indexed citations

18.

Tamuri, Asif U. & Roman A. Laskowski. (2010). ArchSchema: a tool for interactive graphing of related Pfam domain architectures. Bioinformatics. 26(9). 1260–1261. 20 indexed citations

19.

Tamuri, Asif U., Mario dos Reis, Alan Hay, & Richard A. Goldstein. (2009). Identifying Changes in Selective Constraints: Host Shifts in Influenza. PLoS Computational Biology. 5(11). e1000564–e1000564. 95 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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