Naomasa Gotoh

6.1k citations
99 papers · 5.0k indexed · 1 hit paper · h-index 33
Topics
Antibiotic Resistance in Bacteria (66 papers)Bacterial biofilms and quorum sensing (45 papers)Bacterial Genetics and Biotechnology (35 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Naomasa Gotoh

94 papers receiving 4.7k citations

Hit Papers

Substrate Specificities of MexAB-OprM, MexCD-OprJ, and Me...20002026200820172000100200300400500

Peers

Naomasa Gotoh
Comparison fields: 5 of 114
  • Molecular Medicine 3.5k
  • Molecular Biology 2.5k
  • Genetics 1.2k
  • Pharmacology 1.1k
  • Endocrinology 899
Replace Marcelo E. Tolmasky with:
Marcelo E. Tolmasky United States
Xian-Zhi Li Canada
Philip N. Rather United States
Patrick Plésiat France
Azita Leavitt Israel
B. Wiedemann Germany
Alejandro Beceiro Spain
Carlos Juan Spain
E. Collatz France
Y. Arakawa Japan
Naomasa Gotoh relative to Marcelo E. Tolmasky United States Marcelo E. Tolmasky's profile →
Citations per field
00.5×1.7×
Marcelo E. Tolmasky · 1×
Citations per year

Countries citing papers authored by Naomasa Gotoh

Since Specialization
Citations

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

Fields of papers citing papers by Naomasa Gotoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naomasa Gotoh

This figure shows the co-authorship network connecting the top 25 collaborators of Naomasa Gotoh. A scholar is included among the top collaborators of Naomasa Gotoh 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 Naomasa Gotoh. Naomasa Gotoh 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 7
2 5
3 11
4 8
5 13
6 21
7 38
8
Survey on once-daily therapy with ceftriaxone for pediatric bacterial infections
1
9 7
10 54
11 16
12 52
13 46
14 384
15 27
16 6
17 15
18 5
19 13
20 16

About Naomasa Gotoh

Naomasa Gotoh is a scholar working on Molecular Medicine, Endocrinology and Pharmacology, having authored 99 papers that have together received 5.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (66 papers), Bacterial biofilms and quorum sensing (45 papers) and Bacterial Genetics and Biotechnology (35 papers). The work is most often cited by research in Molecular Medicine (3.5k citations), Endocrinology (899 citations) and Applied Microbiology and Biotechnology (248 citations). Naomasa Gotoh has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Takeshi Nishino, Hideto Tsujimoto, Satoshi Ohya, Nobuhisa Masuda, Eiko Sakagawa, Keith Poole, T Nishino, Lasta Kocjancic Curty, Kiyomi Okamoto and Jean-Claude Péchère. Their work appears in journals such as The Journal of Experimental Medicine, PLoS ONE and Scientific Reports.

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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