Masatoshi Noda

4.3k total citations
119 papers, 3.5k citations indexed

About

Masatoshi Noda is a scholar working on Molecular Biology, Infectious Diseases and Endocrinology. According to data from OpenAlex, Masatoshi Noda has authored 119 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 33 papers in Infectious Diseases and 32 papers in Endocrinology. Recurrent topics in Masatoshi Noda's work include Escherichia coli research studies (27 papers), Viral gastroenteritis research and epidemiology (18 papers) and Toxin Mechanisms and Immunotoxins (15 papers). Masatoshi Noda is often cited by papers focused on Escherichia coli research studies (27 papers), Viral gastroenteritis research and epidemiology (18 papers) and Toxin Mechanisms and Immunotoxins (15 papers). Masatoshi Noda collaborates with scholars based in Japan, United States and France. Masatoshi Noda's co-authors include Naoko Morinaga, Joel Moss, Kinnosuke Yahiro, Masami Miyake, Toshiya Hirayama, Yoshifumi Takeda, Takeshi Shimizu, Fumio Nomura, Iwao Kato and Kohtaro Fujihashi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Masatoshi Noda

115 papers receiving 3.3k citations

Peers

Masatoshi Noda
Comparison fields: 5 of 124
  • Molecular Biology 1.1k
  • Immunology 896
  • Endocrinology 893
  • Infectious Diseases 802
  • Cell Biology 378
Replace Yuji Sato with:
Yuji Sato Japan
Michael U. Shiloh United States
Sharon Master United States
A. M. Pappenheimer United States
Richard I. Tapping United States
Antonella Tinari Italy
Tom G. Obrig United States
Christine Laurent‐Winter France
Masayuki Murata Japan
Paolo Manzanillo United States
Yuji Sato Japan View profile →
Citations per field, relative to Masatoshi Noda
Masatoshi Noda · 1×
Citations per year, relative to Masatoshi Noda
Masatoshi Noda · 1×

Countries citing papers authored by Masatoshi Noda

Since Specialization
Citations

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

Fields of papers citing papers by Masatoshi Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masatoshi Noda

This figure shows the co-authorship network connecting the top 25 collaborators of Masatoshi Noda. A scholar is included among the top collaborators of Masatoshi Noda 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 Masatoshi Noda. Masatoshi Noda 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
# Work Indexed citations
1 0
2 104
3 15
4 1
5 22
6 44
7 15
8 40
9 61
10 13
11 116
12 36
13 9
14 3
15 4
16
Bladder-sparing approach for invasive bladder cancer - Preoperative intra-arterial infusion chemotherapy and bladder preservation
1
17
Low-density meningioma on CT.
2
18 46
19 4
20 13

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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