Kiyonobu Nakada

718 citations
7 papers · 392 indexed · h-index 7
Topics
Animal Disease Management and Epidemiology (6 papers)T-cell and Retrovirus Studies (6 papers)Vector-Borne Animal Diseases (6 papers)
Partner nations
JapanUnited Kingdom

In The Last Decade

Kiyonobu Nakada

7 papers receiving 379 citations

Peers

Kiyonobu Nakada
Comparison fields: 5 of 39
  • Immunology 352
  • Agronomy and Crop Science 255
  • Ecology, Evolution, Behavior and Systematics 234
  • Parasitology 41
  • Cardiology and Cardiovascular Medicine 16
Replace Shigemasa Shioiri with:
Shigemasa Shioiri Japan
Mario Larreategui Panama
Haruko Komoda Japan
L LaGrenade Jamaica
Y Takiuchi Japan
Seiichiro Minato Japan
Silvane Braga Santos Brazil
Alison M. Vine United Kingdom
M. Colgin United States
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Kiyonobu Nakada relative to Shigemasa Shioiri Japan Shigemasa Shioiri's profile →
Citations per field
00.5×4.1×
Shigemasa Shioiri · 1×
Citations per year

Countries citing papers authored by Kiyonobu Nakada

Since Specialization
Citations

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

Fields of papers citing papers by Kiyonobu Nakada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiyonobu Nakada

This figure shows the co-authorship network connecting the top 25 collaborators of Kiyonobu Nakada. A scholar is included among the top collaborators of Kiyonobu Nakada 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 Kiyonobu Nakada. Kiyonobu Nakada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 62
2
[Sigmoid shaped ventricular septum causing hemodynamic deterioration during lumbar anesthesia: a case report].
9
3 73
4 107
5
Seroepidemiology of the human retrovirus (HTLV/ATLV) in Okinawa where adult T-cell leukemia is highly endemic.
19
6 8
7
Clinical diversity in adult T-cell leukemia-lymphoma.
114

About Kiyonobu Nakada

Kiyonobu Nakada is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics and Immunology, having authored 7 papers that have together received 392 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (6 papers), T-cell and Retrovirus Studies (6 papers) and Vector-Borne Animal Diseases (6 papers). The work is most often cited by research in Agronomy and Crop Science (255 citations), Immunology (352 citations) and Ecology, Evolution, Behavior and Systematics (234 citations). Kiyonobu Nakada has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Kazunari Yamaguchi, Kiyoshi Takatsuki, Isao Sanada, Motoharu Seiki, Fumio Kawano, Híromichi Nishimura, Toshio Hattori, Hiroyuki Tsuda, Masateru Kohakura and Yorio Hinuma. Their work appears in journals such as Oncogene, International Journal of Cancer and British Journal of Haematology.

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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