Tomotada Iwamoto

3.0k citations
75 papers · 2.4k indexed · 1 hit paper · h-index 23
Topics
Mycobacterium research and diagnosis (62 papers)Tuberculosis Research and Epidemiology (55 papers)Infectious Diseases and Mycology (19 papers)
Partner nations
JapanUnited StatesRussia

In The Last Decade

Tomotada Iwamoto

73 papers receiving 2.3k citations

Hit Papers

Loop-Mediated Isothermal Amplification for Direct Detecti...20032026201020182003100200300400500

Peers

Tomotada Iwamoto
Comparison fields: 5 of 109
  • Epidemiology 1.4k
  • Infectious Diseases 1.3k
  • Surgery 527
  • Molecular Biology 522
  • Biomedical Engineering 442
Replace Seanne P. Buckwalter with:
Seanne P. Buckwalter United States
C.H. Collins United Kingdom
Karlheinz Trebesius Germany
L. Dvorská Czechia
Christina Welinder‐Olsson Sweden
Soumitesh Chakravorty United States
Jolene R. Bowers United States
Anne Le Flèche‐Matéos France
Tsung Chain Chang Taiwan
Sharareh Moghim Iran
Tomotada Iwamoto relative to Seanne P. Buckwalter United States Seanne P. Buckwalter's profile →
Citations per field
00.5×6.5×
Seanne P. Buckwalter · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 11
3 1
4 18
5 6
6 18
7 144
8 7
9 68
10 9
11 3
12 23
13 131
14 8
15 51
16
[Population structure analysis of Mycobacterium tuberculosis Beijing family in Japan].
4
17 6
18 105
19 26
20 201

About Tomotada Iwamoto

Tomotada Iwamoto is a scholar working on Infectious Diseases, Small Animals and Epidemiology, having authored 75 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (62 papers), Tuberculosis Research and Epidemiology (55 papers) and Infectious Diseases and Mycology (19 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Small Animals (312 citations) and Epidemiology (1.4k citations). Tomotada Iwamoto has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Kozaburo Hayashi, Masao Nasu, Takayuki Wada, Shiomi Yoshida, Yukiko Nishiuchi, Fumito Maruyama, Katsuhiro Suzuki, Shinji Maeda, Katsuji Tani and Kanji Nakamura. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Clinical Microbiology.

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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