Tomotada Iwamoto

3.0k total citations · 1 hit paper
75 papers, 2.4k citations indexed

About

Tomotada Iwamoto is a scholar working on Epidemiology, Infectious Diseases and Small Animals. According to data from OpenAlex, Tomotada Iwamoto has authored 75 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Epidemiology, 61 papers in Infectious Diseases and 19 papers in Small Animals. Recurrent topics in Tomotada Iwamoto's work include Mycobacterium research and diagnosis (62 papers), Tuberculosis Research and Epidemiology (55 papers) and Infectious Diseases and Mycology (19 papers). Tomotada Iwamoto is often cited by papers focused on Mycobacterium research and diagnosis (62 papers), Tuberculosis Research and Epidemiology (55 papers) and Infectious Diseases and Mycology (19 papers). Tomotada Iwamoto collaborates with scholars based in Japan, United States and Russia. Tomotada Iwamoto's co-authors include Kozaburo Hayashi, Masao Nasu, Takayuki Wada, Shiomi Yoshida, Yukiko Nishiuchi, Fumito Maruyama, Katsuhiro Suzuki, Shinji Maeda, Katsuji Tani and Kanji Nakamura and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Tomotada Iwamoto

73 papers receiving 2.3k citations

Hit Papers

Loop-Mediated Isothermal Amplification for Direct Detecti... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers

Tomotada Iwamoto
Seanne P. Buckwalter United States
Guido Funke Switzerland
Soumitesh Chakravorty United States
Jolene R. Bowers United States
C.H. Collins United Kingdom
Seanne P. Buckwalter United States
Tomotada Iwamoto
Citations per year, relative to Tomotada Iwamoto Tomotada Iwamoto (= 1×) peers Seanne P. Buckwalter

Countries citing papers authored by Tomotada Iwamoto

Since Specialization
Citations

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

Fields of papers citing papers by Tomotada Iwamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomotada Iwamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Tomotada Iwamoto. A scholar is included among the top collaborators of Tomotada Iwamoto 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 Tomotada Iwamoto. Tomotada Iwamoto 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.
Osugi, Asami, Aki Tamaru, Takashi Yoshiyama, et al.. (2024). Mycobacterium tuberculosis is less likely to acquire pathogenic mutations during latent infection than during active disease. Microbiology Spectrum. 12(7). e0428923–e0428923. 1 indexed citations
2.
Nakanishi, Nobuhiro, et al.. (2021). Characterization of a novel plasmid in Serratia marcescens harbouring blaGES-5 isolated from a nosocomial outbreak in Japan. Journal of Hospital Infection. 121. 128–131. 11 indexed citations
3.
Yano, Hirokazu, Haruo Suzuki, Fumito Maruyama, & Tomotada Iwamoto. (2019). The recombination-cold region as an epidemiological marker of recombinogenic opportunistic pathogen Mycobacterium avium. BMC Genomics. 20(1). 752–752. 1 indexed citations
4.
Iwamoto, Tomotada, Yoshiro Murase, Shiomi Yoshida, et al.. (2019). Overcoming the pitfalls of automatic interpretation of whole genome sequencing data by online tools for the prediction of pyrazinamide resistance in Mycobacterium tuberculosis. PLoS ONE. 14(2). e0212798–e0212798. 18 indexed citations
5.
Chikamatsu, Kinuyo, Akio Aono, Akiko Kawai, et al.. (2019). Evaluation of Q Gene Mycobacteria: A novel and easy nucleic acid chromatography method for mycobacterial species identification. Journal of Microbiological Methods. 163. 105657–105657. 6 indexed citations
6.
Grandjean, Louis, Robert H. Gilman, Tomotada Iwamoto, et al.. (2017). Convergent evolution and topologically disruptive polymorphisms among multidrug-resistant tuberculosis in Peru. PLoS ONE. 12(12). e0189838–e0189838. 18 indexed citations
7.
Nishiuchi, Yukiko, Tomotada Iwamoto, & Fumito Maruyama. (2017). Infection Sources of a Common Non-tuberculous Mycobacterial Pathogen, Mycobacterium avium Complex. Frontiers in Medicine. 4. 27–27. 144 indexed citations
8.
Wada, Takayuki, Tomotada Iwamoto, Aki Tamaru, et al.. (2015). Clonality and Micro-Diversity of a Nationwide Spreading Genotype of Mycobacterium tuberculosis in Japan. PLoS ONE. 10(3). e0118495–e0118495. 7 indexed citations
9.
Sekizuka, Tsuyoshi, Akifumi Yamashita, Yoshiro Murase, et al.. (2015). TGS-TB: Total Genotyping Solution for Mycobacterium tuberculosis Using Short-Read Whole-Genome Sequencing. PLoS ONE. 10(11). e0142951–e0142951. 68 indexed citations
10.
Seto, Junji, Takayuki Wada, Tomotada Iwamoto, et al.. (2015). Phylogenetic assignment of Mycobacterium tuberculosis Beijing clinical isolates in Japan by maximum a posteriori estimation. Infection Genetics and Evolution. 35. 82–88. 9 indexed citations
11.
Yokoyama, Eiji, Tomotada Iwamoto, Noriko Nakanishi, et al.. (2015). Comparative analysis of Mycobacterium tuberculosis Beijing strains isolated in three remote areas of Japan. Infection Genetics and Evolution. 34. 444–449. 3 indexed citations
12.
Nakanishi, Noriko, Takayuki Wada, Kentaro Arikawa, et al.. (2013). Evolutionary robust SNPs reveal the misclassification of Mycobacterium tuberculosis Beijing family strains into sublineages. Infection Genetics and Evolution. 16. 174–177. 23 indexed citations
13.
Harada, Toshiyuki, Yasushi Akiyama, Atsuyuki Kurashima, et al.. (2012). Clinical and Microbiological Differences between Mycobacterium abscessus and Mycobacterium massiliense Lung Diseases. Journal of Clinical Microbiology. 50(11). 3556–3561. 131 indexed citations
14.
Wada, Takayuki, Tomotada Iwamoto, Atsushi Hase, & Shinji Maeda. (2012). Scanning of genetic diversity of evolutionarily sequential Mycobacterium tuberculosis Beijing family strains based on genome wide analysis. Infection Genetics and Evolution. 12(7). 1392–1396. 8 indexed citations
15.
Iwamoto, Tomotada, Chie Nakajima, Yukiko Nishiuchi, et al.. (2011). Genetic diversity of Mycobacterium avium subsp. hominissuis strains isolated from humans, pigs, and human living environment. Infection Genetics and Evolution. 12(4). 846–852. 51 indexed citations
16.
Iwamoto, Tomotada. (2009). [Population structure analysis of Mycobacterium tuberculosis Beijing family in Japan].. PubMed. 84(12). 755–9. 4 indexed citations
17.
Saito, Hajime, K. Zayasu, Eriko Shigeto, et al.. (2007). Two Cases of Lung Infection due to Mycobacterium shimoidei, with Special Reference to Bacteriological Investigation. Kansenshogaku zasshi. 81(1). 12–19. 6 indexed citations
18.
Iwamoto, Tomotada & Masao Nasu. (2001). Current Bioremediation Practice and Perspective.. Journal of Bioscience and Bioengineering. 92(1). 1–8. 105 indexed citations
19.
Iwamoto, Tomotada. (2000). Monitoring impact of in situ biostimulation treatment on groundwater bacterial community by DGGE. FEMS Microbiology Ecology. 32(2). 129–141. 26 indexed citations
20.
Iwamoto, Tomotada, Katsuji Tani, Kanji Nakamura, et al.. (2000). Monitoring impact of in situ biostimulation treatment on groundwater bacterial community by DGGE. FEMS Microbiology Ecology. 32(2). 129–141. 201 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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