Naoshi Takeyama

4.2k total citations
80 papers, 1.9k citations indexed

About

Naoshi Takeyama is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Naoshi Takeyama has authored 80 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 24 papers in Epidemiology and 23 papers in Immunology. Recurrent topics in Naoshi Takeyama's work include Sepsis Diagnosis and Treatment (18 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (13 papers) and Metabolism and Genetic Disorders (10 papers). Naoshi Takeyama is often cited by papers focused on Sepsis Diagnosis and Treatment (18 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (13 papers) and Metabolism and Genetic Disorders (10 papers). Naoshi Takeyama collaborates with scholars based in Japan, Bangladesh and United Kingdom. Naoshi Takeyama's co-authors include Takaya Tanaka, T Tanaka, Nobuaki Matsuo, Akihiko Hirakawa, Yasuhide Kitazawa, Masanobu Tsuda, Yukio Miki, Hiroyasu Ishikura, Daisuke Takagi and Joji Kotani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Naoshi Takeyama

74 papers receiving 1.9k citations

Peers

Naoshi Takeyama
Comparison fields: 5 of 118
  • Epidemiology 603
  • Molecular Biology 600
  • Immunology 422
  • Surgery 314
  • Critical Care and Intensive Care Medicine 292
Keith A. Wichterman United States
Takashi Ito Japan
Kaijiang Yu China
Mariano Janiszewski Brazil
Masahiro Nezu Japan
Kathy Chang United States
Florian Uhle Germany
Rajesh K. Aneja United States
Dieter Fröhlich Germany
Autar K. Walli Germany
Keith A. Wichterman United States View profile →
Citations per field, relative to Naoshi Takeyama
Naoshi Takeyama · 1×
Citations per year, relative to Naoshi Takeyama
Naoshi Takeyama · 1×

Countries citing papers authored by Naoshi Takeyama

Since Specialization
Citations

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

Fields of papers citing papers by Naoshi Takeyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoshi Takeyama

This figure shows the co-authorship network connecting the top 25 collaborators of Naoshi Takeyama. A scholar is included among the top collaborators of Naoshi Takeyama 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 Naoshi Takeyama. Naoshi Takeyama 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 51
2 7
3 6
4 4
5 51
6 28
7 75
8 1
9 10
10 98
11 10
12 12
13 28
14 9
15 44
16 6
17 1
18 35
19 6
20 21

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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