Nobuo Kitamura

2.4k total citations
170 papers, 1.8k citations indexed

About

Nobuo Kitamura is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nobuo Kitamura has authored 170 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Surgery, 34 papers in Pulmonary and Respiratory Medicine and 31 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nobuo Kitamura's work include Neuropeptides and Animal Physiology (22 papers), Cardiac Structural Anomalies and Repair (19 papers) and Cardiac Valve Diseases and Treatments (18 papers). Nobuo Kitamura is often cited by papers focused on Neuropeptides and Animal Physiology (22 papers), Cardiac Structural Anomalies and Repair (19 papers) and Cardiac Valve Diseases and Treatments (18 papers). Nobuo Kitamura collaborates with scholars based in Japan, Indonesia and Brazil. Nobuo Kitamura's co-authors include Junzo Yamada, Tadayuki YAMASHITA, Motoki Sasaki, Junichi Utoh, Noel Y. Calingasan, Noboru Yanaihara, Shuji Moriyama, Daisuke Kondoh, Masaaki Yamagishi and Mitsuhiro Uchiba and has published in prestigious journals such as Circulation, Blood and Biochemistry.

In The Last Decade

Nobuo Kitamura

160 papers receiving 1.8k citations

Peers

Nobuo Kitamura
Comparison fields: 5 of 116
  • Surgery 494
  • Molecular Biology 419
  • Cellular and Molecular Neuroscience 339
  • Pulmonary and Respiratory Medicine 286
  • Epidemiology 286
Replace Tomoko Takahashi with:
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Tomoko Takahashi Japan View profile →
Citations per field, relative to Nobuo Kitamura
Nobuo Kitamura · 1×
Citations per year, relative to Nobuo Kitamura
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Countries citing papers authored by Nobuo Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by Nobuo Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuo Kitamura

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuo Kitamura. A scholar is included among the top collaborators of Nobuo Kitamura 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 Nobuo Kitamura. Nobuo Kitamura 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 13
2
Distribution Pattern of Cytoskeletal Proteins in the Testis of Swamp-Type Water Buffalo (Bubalus bubalis)
4
3 1
4 4
5 3
6 8
7 2
8 5
9 0
10 13
11 2
12 0
13 0
14 13
15 1
16 91
17
Effects of niacinamide on ceramide biosynthesis and differentiation of cultured human keratinocytes.
6
18 0
19 1
20 1

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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