Kazutaka Nishimura

1.1k citations
45 papers · 831 indexed · h-index 14
Topics
Protein Hydrolysis and Bioactive Peptides (10 papers)Peptidase Inhibition and Analysis (7 papers)Enzyme function and inhibition (7 papers)

In The Last Decade

Kazutaka Nishimura

42 papers receiving 798 citations

Peers

Kazutaka Nishimura
Comparison fields: 5 of 93
  • Pulmonary and Respiratory Medicine 387
  • Molecular Biology 190
  • Epidemiology 160
  • Cardiology and Cardiovascular Medicine 121
  • Physiology 88
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R. W. Osgood United States
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Citations per field
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Citations per year

Countries citing papers authored by Kazutaka Nishimura

Since Specialization
Citations

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

Fields of papers citing papers by Kazutaka Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazutaka Nishimura

This figure shows the co-authorship network connecting the top 25 collaborators of Kazutaka Nishimura. A scholar is included among the top collaborators of Kazutaka Nishimura 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 Kazutaka Nishimura. Kazutaka Nishimura 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
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[Effect of combined chemotherapy following the guidelines on treatment for Mycobacterium avium complex pulmonary disease].
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[Clinical analysis of foreign patients with tuberculosis found in Chugoku-Shikoku area].
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THE HISTOCHEMICAL, CHEMICAL, AND CYTOCHEMICAL STUDIES ON MYOCARDIAL β-HYDROXYBUTYLATE DEHYDROGENASE DURING THE DEVELOPMENT OF CARDIAC HYPERTROPHY IN SPONTANEOUSLY HYPERTENSIVE RATS : PROCEEDINGS OF THE 38TH ANNUAL MEETING OF THE JAPANESE CIRCULATION SOCIETY
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About Kazutaka Nishimura

Kazutaka Nishimura is a scholar working on Microbiology, Small Animals and Internal Medicine, having authored 45 papers that have together received 831 indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (10 papers), Peptidase Inhibition and Analysis (7 papers) and Enzyme function and inhibition (7 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (387 citations), Small Animals (43 citations) and Microbiology (4 citations). Kazutaka Nishimura has collaborated with scholars based in Japan, United Kingdom and Sweden. Frequent co-authors include Kunio Hiwada, Hironobu Hamada, Akihito Yokoyama, Hiroshi Ohnishi, Nobuoki Kohno, Keiichi Kondo, Masahiko Abe, Tatsuo Kokubu, Einosuke Ueda and Noriko Yoshida. Their work appears in journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Clinica Chimica Acta.

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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