Masaki Tohyama

770 citations
20 papers · 629 indexed · h-index 10

Masaki Tohyama

19 papers receiving 622 citations

Peers

Masaki Tohyama
Comparison fields: 5 of 64
  • Infectious Diseases 325
  • Epidemiology 469
  • Immunology 181
  • Parasitology 54
  • Microbiology 29
Replace Norifumi Kudeken with:
Norifumi Kudeken Japan
Tânia A. Costa Brazil
Laëtitia Breuilh France
Dawn Horn United States
Giacomo Signorino Italy
David A. Stevens United States
Marc Röhm Sweden
Richard F. Xiang Canada
M. Fernex Switzerland
R A Fazioli Brazil
Masaki Tohyama relative to Norifumi Kudeken Japan Norifumi Kudeken's profile →
Citations per field
00.5×1.5×2.5×
Norifumi Kudeken · 1×
Citations per year

Countries citing papers authored by Masaki Tohyama

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Tohyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Masaki Tohyama, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Masaki Tohyama Line = papers co-authored together Masaki Tohyama links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
[A case of drug-induced pneumonitis due to levofloxacin and kampo medicine].
20062
2 20023
3
[A case of loxoprofen-induced pneumonitis pathologically resembling hypersensitivity pneumonitis].
20022
4
[A case of pulmonary infection caused by Mycobacterium szulgai].
20021
5 20010
6 200141
7 200147
8 199918
9 199798
10 19962
11 19965
12 199643
13 199671
14 199674
15 199628
16 1996121
17 19963
18 19959
19 199554
20
[A therapeutic trial of experimental tuberculosis with gamma-interferon in an immunocompromised mouse model].
19947

About Masaki Tohyama

Masaki Tohyama is a scholar working on Toxicology, Microbiology and Epidemiology, having authored 20 papers that have together received 629 indexed citations. Recurring topics across this work include Fungal Infections and Studies (10 papers), Antifungal resistance and susceptibility (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Bioactive Compounds and Antitumor Agents (3 papers), Antimicrobial Peptides and Activities (3 papers), Tuberculosis Research and Epidemiology (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Nail Diseases and Treatments (2 papers). The work is most often cited by research in Infectious Diseases (325 citations), Epidemiology (469 citations) and Immunology (181 citations). Masaki Tohyama has collaborated with scholars based in Japan. Frequent co-authors include Atsushi Saitô, Kazuyoshi Kawakami, Qifeng Xie, Qiang-min Xie, Norifumi Kudeken, K Kawakami, Katsuji Teruya, Kazuyoshi Kawakami, Mahboob Qureshi and Satomi Yara. Their work appears in journals such as Clinical & Experimental Immunology, Infection and Immunity, Antimicrobial Agents and Chemotherapy, Immunology Letters and Kansenshogaku zasshi.

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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