Mark M. Tanaka

4.7k total citations
94 papers, 3.2k citations indexed

About

Mark M. Tanaka is a scholar working on Genetics, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Mark M. Tanaka has authored 94 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Genetics, 34 papers in Infectious Diseases and 28 papers in Molecular Biology. Recurrent topics in Mark M. Tanaka's work include Evolution and Genetic Dynamics (33 papers), Tuberculosis Research and Epidemiology (21 papers) and Mycobacterium research and diagnosis (16 papers). Mark M. Tanaka is often cited by papers focused on Evolution and Genetic Dynamics (33 papers), Tuberculosis Research and Epidemiology (21 papers) and Mycobacterium research and diagnosis (16 papers). Mark M. Tanaka collaborates with scholars based in Australia, United States and United Kingdom. Mark M. Tanaka's co-authors include Scott A. Sisson, Peter A. White, Yanan Fan, Andrew Francis, Rowena A. Bull, William D. Rawlinson, Fabio Luciani, John‐Sebastian Eden, Maciej F. Boni and Ruiting Lan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Mark M. Tanaka

92 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark M. Tanaka Australia 29 1.4k 817 652 596 503 94 3.2k
Vladimir N. Minin United States 26 419 0.3× 1.2k 1.4× 1.0k 1.6× 427 0.7× 67 0.1× 65 2.8k
Katia Koelle United States 34 1.3k 0.9× 768 0.9× 564 0.9× 1.2k 2.1× 192 0.4× 78 3.7k
Louis H. Nel South Africa 38 1.5k 1.0× 857 1.0× 356 0.5× 1.2k 2.1× 133 0.3× 193 4.3k
Louise Matthews United Kingdom 34 1.2k 0.8× 510 0.6× 518 0.8× 623 1.0× 163 0.3× 101 4.3k
Richard A. Neher Switzerland 40 3.5k 2.5× 1.4k 1.7× 2.3k 3.6× 1.3k 2.1× 546 1.1× 93 7.2k
Julia R. Gog United Kingdom 31 1.0k 0.7× 832 1.0× 884 1.4× 2.1k 3.5× 209 0.4× 55 4.2k
Trevor Bedford United States 38 3.6k 2.6× 1.4k 1.7× 2.1k 3.3× 2.3k 3.9× 599 1.2× 96 7.6k
Trevelyan J. McKinley United Kingdom 26 607 0.4× 401 0.5× 303 0.5× 547 0.9× 66 0.1× 74 2.2k
Art F. Y. Poon Canada 32 1.6k 1.1× 953 1.2× 1.4k 2.2× 1.1k 1.9× 202 0.4× 114 4.5k
Stanley Sawyer United States 26 325 0.2× 1.7k 2.1× 1.4k 2.1× 190 0.3× 195 0.4× 68 4.4k

Countries citing papers authored by Mark M. Tanaka

Since Specialization
Citations

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

Fields of papers citing papers by Mark M. Tanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark M. Tanaka. 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 Mark M. Tanaka. The network helps show where Mark M. Tanaka may publish in the future.

Co-authorship network of co-authors of Mark M. Tanaka

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

All Works

20 of 20 papers shown
1.
Yu, Pei, et al.. (2024). Extinctions Caused by Host-Range Expansion. SIAM Journal on Applied Dynamical Systems. 23(2). 1677–1703.
2.
Luo, Lijuan, Michael Payne, Qinning Wang, et al.. (2023). Genomic Epidemiology and Multilevel Genome Typing of Australian Salmonella enterica Serovar Enteritidis. Microbiology Spectrum. 11(1). e0301422–e0301422. 6 indexed citations
3.
Young, Alexandra M., et al.. (2023). Clinical Setting Comparative Analysis of Uropathogens and Antibiotic Resistance: A Retrospective Study Spanning the Coronavirus Disease 2019 Pandemic. Open Forum Infectious Diseases. 11(2). ofad676–ofad676. 1 indexed citations
4.
Kaur, Sandeep, Michael Payne, Lijuan Luo, et al.. (2022). MGTdb: a web service and database for studying the global and local genomic epidemiology of bacterial pathogens. Database. 2022. 7 indexed citations
5.
Kyaw, Wunna, et al.. (2020). Nonsynonymous Polymorphism Counts in Bacterial Genomes: a Comparative Examination. Applied and Environmental Microbiology. 87(1). 4 indexed citations
6.
Payne, Michael, Sandeep Kaur, Qinning Wang, et al.. (2020). Multilevel genome typing: genomics-guided scalable resolution typing of microbial pathogens. Eurosurveillance. 25(20). 17 indexed citations
7.
Liu, Fang, Rena Ma, Chin Yen Tay, et al.. (2018). Genomic analysis of oral Campylobacter concisus strains identified a potential bacterial molecular marker associated with active Crohn’s disease. Emerging Microbes & Infections. 7(1). 1–14. 28 indexed citations
8.
Chisholm, Rebecca H. & Mark M. Tanaka. (2016). The emergence of latent infection in the early evolution ofMycobacterium tuberculosis. Proceedings of the Royal Society B Biological Sciences. 283(1831). 20160499–20160499. 5 indexed citations
9.
Murray, Vincent, et al.. (2016). The genome-wide DNA sequence specificity of the anti-tumour drug bleomycin in human cells. Molecular Biology Reports. 43(7). 639–651. 11 indexed citations
10.
Wu, Yue, Zach Aandahl, & Mark M. Tanaka. (2015). Dynamics of bacterial insertion sequences: can transposition bursts help the elements persist?. BMC Evolutionary Biology. 15(1). 288–288. 30 indexed citations
11.
Eden, John‐Sebastian, Joanne Hewitt, Maciej F. Boni, et al.. (2013). The emergence and evolution of the novel epidemic norovirus GII.4 variant Sydney 2012. Virology. 450-451. 106–113. 109 indexed citations
12.
Gebhardt, Volker, et al.. (2013). Group-theoretic models of the inversion process in bacterial genomes. Journal of Mathematical Biology. 69(1). 243–265. 16 indexed citations
13.
Luciani, Fabio, Andrew Francis, & Mark M. Tanaka. (2008). Interpreting genotype cluster sizes of Mycobacterium tuberculosis isolates typed with IS6110 and spoligotyping. Infection Genetics and Evolution. 8(2). 182–190. 20 indexed citations
14.
Tanaka, Mark M., et al.. (2006). An evaluation of indices for quantifying tuberculosis transmission using genotypes of pathogen isolates. BMC Infectious Diseases. 6(1). 92–92. 3 indexed citations
15.
Tanaka, Mark M.. (2004). Evidence for positive selection on Mycobacterium tuberculosis within patients. BMC Evolutionary Biology. 4(1). 31–31. 9 indexed citations
16.
Rosenberg, Noah A., Anthony G. Tsolaki, & Mark M. Tanaka. (2003). Estimating change rates of genetic markers using serial samples: applications to the transposon IS6110 in Mycobacterium tuberculosis. Theoretical Population Biology. 63(4). 347–363. 23 indexed citations
17.
Tanaka, Mark M., Jochen Kumm, & Marcus W. Feldman. (2002). Coevolution of Pathogens and Cultural Practices: A New Look at Behavioral Heterogeneity in Epidemics. Theoretical Population Biology. 62(2). 111–119. 35 indexed citations
18.
Tanaka, Mark M. & Noah A. Rosenberg. (2001). Optimal estimation of transposition rates of insertion sequences for molecular epidemiology. Statistics in Medicine. 20(16). 2409–2420. 16 indexed citations
19.
Tanaka, Mark M., et al.. (1996). P-Element-Induced Recombination in Drosophila melanogaster: Hybrid Element Insertion. Genetics. 144(4). 1601–1610. 56 indexed citations
20.
Kihara, H. & Mark M. Tanaka. (1970). Addendum to the classification of the genus Aegilops by means of genome-analysis.. 1–2. 31 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Vladimir N. Minin Breakdown of academic impact, for papers by Katia Koelle Breakdown of academic impact, for papers by Louis H. Nel Breakdown of academic impact, for papers by Louise Matthews Breakdown of academic impact, for papers by Richard A. Neher Breakdown of academic impact, for papers by Julia R. Gog Breakdown of academic impact, for papers by Trevor Bedford Breakdown of academic impact, for papers by Trevelyan J. McKinley Breakdown of academic impact, for papers by Art F. Y. Poon Breakdown of academic impact, for papers by Stanley Sawyer
Rankless by CCL
2026