Masayuki Iwata

45 total papers · 582 total citations
32 papers, 468 citations indexed

About

Masayuki Iwata is a scholar working on Molecular Biology, Pharmacology and Immunology. According to data from OpenAlex, Masayuki Iwata has authored 32 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Pharmacology and 8 papers in Immunology. Recurrent topics in Masayuki Iwata's work include Antibiotics Pharmacokinetics and Efficacy (8 papers), Veterinary medicine and infectious diseases (5 papers) and Antibiotic Resistance in Bacteria (4 papers). Masayuki Iwata is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (8 papers), Veterinary medicine and infectious diseases (5 papers) and Antibiotic Resistance in Bacteria (4 papers). Masayuki Iwata collaborates with scholars based in Japan, United States and Germany. Masayuki Iwata's co-authors include Takaichi Shimozato, N Tamura, Takashi Morishita, Hiroshi Kawada, Hiroshi Tokiwa, S. Sugawara, Junya Ide, Koichi Fujimoto, Hideo Nakao and E Tsubura and has published in prestigious journals such as Blood, Applied and Environmental Microbiology and Biochemical and Biophysical Research Communications.

In The Last Decade

Masayuki Iwata

31 papers receiving 443 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Masayuki Iwata 144 118 97 55 53 32 468
Silvana Farneti 71 0.5× 94 0.8× 51 0.5× 54 1.0× 96 1.8× 22 464
Shuling Wu 137 1.0× 122 1.0× 54 0.6× 53 1.0× 14 0.3× 31 552
R. W. Ferraresi 210 1.5× 118 1.0× 49 0.5× 21 0.4× 11 0.2× 27 502
Xi Zeng 85 0.6× 137 1.2× 31 0.3× 42 0.8× 17 0.3× 27 467
Quie Pg 200 1.4× 110 0.9× 35 0.4× 26 0.5× 13 0.2× 22 525
Marcus S. Brooke 105 0.7× 185 1.6× 24 0.2× 24 0.4× 18 0.3× 33 489
Chiara Lucchetti 71 0.5× 254 2.2× 28 0.3× 34 0.6× 30 0.6× 20 533
Kaname Hirai 68 0.5× 122 1.0× 36 0.4× 14 0.3× 27 0.5× 28 492
Zhenyu Li 49 0.3× 155 1.3× 50 0.5× 26 0.5× 35 0.7× 28 510
Toshiaki Usui 58 0.4× 108 0.9× 90 0.9× 23 0.4× 22 0.4× 37 493

Countries citing papers authored by Masayuki Iwata

Since Specialization
Citations

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

Fields of papers citing papers by Masayuki Iwata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Iwata

This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Iwata. A scholar is included among the top collaborators of Masayuki Iwata 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 Masayuki Iwata. Masayuki Iwata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026