Satoshi Iwata

8.4k citations
307 papers · 6.1k · h-index 44

Impact in

Papers in

    • Pneumonia and Respiratory Infections 83
    • Respiratory viral infections research 29
    • Pneumocystis jirovecii pneumonia detection and treatment 17
    • Antibiotics Pharmacokinetics and Efficacy 50

Satoshi Iwata

295 papers receiving 5.9k citations

Peers

Satoshi Iwata
Comparison fields: 5 of 148
  • Microbiology 889
  • Immunology and Allergy 491
  • Epidemiology 2.0k
  • Molecular Medicine 252
  • Oncology 969
Replace Michel Chignard with:
Michel Chignard France
Hans Christian Körting Germany
Alan S. Cross United States
Klaus Heeg Germany
Peter H. Nibbering Netherlands
Keiji Iwatsuki Japan
George Y. Liu United States
Clifford C. Taggart United Kingdom
Rachel M. McLoughlin Ireland
Antonella Mencacci Italy
Satoshi Iwata relative to Michel Chignard France Michel Chignard's profile →
Citations per field
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Citations per year

Countries citing papers authored by Satoshi Iwata

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Iwata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 307 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009294
2 2012163
3 2007149
4 1996136
5 1997135
6 2004114
7 2005109
8 2004103
9 200096
10 200893
11 201892
12 199989
13 200687
14 201485
15 200983
16 200481
17 201678
18 201375
19 199972
20 199669

About Satoshi Iwata

Satoshi Iwata is a scholar working on Epidemiology, Pharmacology, Microbiology, Infectious Diseases and Oncology, having authored 307 papers that have together received 6.1k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (83 papers), Antibiotics Pharmacokinetics and Efficacy (50 papers), Bacterial Infections and Vaccines (36 papers), Respiratory viral infections research (29 papers), Antibiotic Resistance in Bacteria (24 papers), Peptidase Inhibition and Analysis (21 papers), Pneumocystis jirovecii pneumonia detection and treatment (17 papers) and Cell Adhesion Molecules Research (16 papers). The work is most often cited by research in Microbiology (889 citations), Immunology and Allergy (491 citations), Epidemiology (2.0k citations), Molecular Medicine (252 citations) and Oncology (969 citations). Satoshi Iwata has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Chikao Morimoto, Miyuki Morozumi, Nam H. Dang, Naoko Chiba, Kimiko Ubukata, Keisuke Sunakawa, Kimiko Ubukata, Kei Ohnuma, Keiko Hasegawa and Takeaki Wajima. Their work appears in journals such as Biochemical and Biophysical Research Communications, Antimicrobial Agents and Chemotherapy, Emerging infectious diseases, PLoS ONE and The Journal of Immunology.

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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