Kazuhito Naka

9.0k citations
92 papers · 7.3k indexed · 2 hit papers · h-index 40
Topics
Chronic Myeloid Leukemia Treatments (15 papers)Hepatitis C virus research (12 papers)Acute Myeloid Leukemia Research (11 papers)

In The Last Decade

Kazuhito Naka

91 papers receiving 7.2k citations

Hit Papers

Reactive oxygen species act through p38 MAPK to limit the...2002202620102018200620022505007501000

Peers

Kazuhito Naka
Comparison fields: 5 of 138
  • Molecular Biology 4.0k
  • Oncology 2.0k
  • Cancer Research 1.6k
  • Hematology 1.1k
  • Immunology 1.0k
Replace Naohiro Terada with:
Naohiro Terada United States
Tsuneo Ikenoue Japan
Lawrence Zukerberg United States
T Sudo Japan
Wei Tong United States
Atsushi Hirao Japan
Lorraine A. O’Reilly Australia
Saburo Sone Japan
Cornelius Miething Germany
David Danielpour United States
Kazuhito Naka relative to Naohiro Terada United States Naohiro Terada's profile →
Citations per field
00.5×3.9×
Naohiro Terada · 1×
Citations per year

Countries citing papers authored by Kazuhito Naka

Since Specialization
Citations

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

Fields of papers citing papers by Kazuhito Naka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuhito Naka

This figure shows the co-authorship network connecting the top 25 collaborators of Kazuhito Naka. A scholar is included among the top collaborators of Kazuhito Naka 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 Kazuhito Naka. Kazuhito Naka 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
1 3
2 0
3 2
4 20
5 51
6 52
7 3
8 29
9 8
10 21
11 46
12
Identification of stem cells during prepubertal spermatogenesis via monitoring of nucleostemin promoter activity
33
13 198
14 234
15 91
16 38
17
Reactive oxygen species act through p38 MAPK to limit the lifespan of hematopoietic stem cellsbreakdown →
1075
18 11
19 339
20 131

About Kazuhito Naka

Kazuhito Naka is a scholar working on Hematology, Hepatology and Genetics, having authored 92 papers that have together received 7.3k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (15 papers), Hepatitis C virus research (12 papers) and Acute Myeloid Leukemia Research (11 papers). The work is most often cited by research in Cancer Research (1.6k citations), Hematology (1.1k citations) and Aging (140 citations). Kazuhito Naka has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Atsushi Hirao, Noboru Motoyama, Takayuki Hoshii, Yasunori Okada, Isao Nakanishi, Masako Ohmura, Teruyuki Muraguchi, Hiromichi Dansako, Nobuyuki Kato and Toshio Suda. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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