Tomoo Saga

1.2k citations
37 papers · 794 indexed · h-index 18

Impact in

    • Antibiotic Resistance in Bacteria
    • Vibrio bacteria research studies
    • Enterobacteriaceae and Cronobacter Research

Papers in

Tomoo Saga

36 papers receiving 775 citations

Peers

Tomoo Saga
Comparison fields: 5 of 97
  • Molecular Medicine 385
  • Endocrinology 173
  • Applied Microbiology and Biotechnology 55
  • Microbiology 13
  • Infectious Diseases 200
Replace Zi-Ke Sheng with:
Zi-Ke Sheng China
Canan Külah Türkiye
Dolunay Gülmez Türkiye
Jamshid Faghri Iran
Peter Taylor Australia
Sohei Harada Japan
Paola Bocanegra‐Ibarias Mexico
Elizabeth Andrade Marques Brazil
Kirsten Schaffer Ireland
Yiqi Fu China
Tomoo Saga relative to Zi-Ke Sheng China Zi-Ke Sheng's profile →
Citations per field
00.5×1.5×2.3×
Zi-Ke Sheng · 1×
Citations per year

Countries citing papers authored by Tomoo Saga

Since Specialization
Citations

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

Fields of papers citing papers by Tomoo Saga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Tomoo Saga, 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 Tomoo Saga Line = papers co-authored together Tomoo Saga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202111
2 202045
3 201917
4 20198
5 20195
6 201828
7 20184
8 20161
9 201611
10 201536
11 201523
12 201528
13 201512
14 20137
15 201223
16 201230
17 201252
18 201011
19 200819
20 20054

About Tomoo Saga

Tomoo Saga is a scholar working on Molecular Medicine, Endocrinology, Microbiology, Clinical Biochemistry and Infectious Diseases, having authored 37 papers that have together received 794 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Bacterial Identification and Susceptibility Testing (6 papers), Bacterial biofilms and quorum sensing (6 papers), Vibrio bacteria research studies (5 papers), Pneumonia and Respiratory Infections (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers) and Infective Endocarditis Diagnosis and Management (4 papers). The work is most often cited by research in Molecular Medicine (385 citations), Endocrinology (173 citations), Applied Microbiology and Biotechnology (55 citations), Microbiology (13 citations) and Infectious Diseases (200 citations). Tomoo Saga has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kazuhiro Tateda, Yoshikazu Ishii, Keizo Yamaguchi, K Yamaguchi, Sohei Harada, Yoshikazu Ishii, Ayumi Yoshizumi, Sadako Yoshizawa, Soichiro Kimura and Shigeharu Ueki. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease, Scientific Reports and Clinical Microbiology and Infection.

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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