Hisataka Numa

4.1k citations
23 papers · 802 indexed · 1 hit paper · h-index 10
Topics
Genomics and Phylogenetic Studies (9 papers)Genetic Mapping and Diversity in Plants and Animals (8 papers)Chromosomal and Genetic Variations (6 papers)
Partner nations
JapanTaiwanRussia

In The Last Decade

Hisataka Numa

23 papers receiving 794 citations

Hit Papers

Rice Annotation Project Database (RAP-DB): An Integrative...20132026201720212013100200300400500

Peers

Hisataka Numa
Comparison fields: 5 of 65
  • Plant Science 636
  • Molecular Biology 405
  • Genetics 274
  • Biomedical Engineering 19
  • Cell Biology 19
Replace Shunwu Yu with:
Shunwu Yu China
Yue Lu China
André Beló United States
Cui Long-Gang China
Cong Tan China
Jakyung Yi South Korea
Benjamin Hartwig Germany
Victor Jun Ulat Philippines
Geo Velikkakam James Germany
Navdeep Gill United States
Hisataka Numa relative to Shunwu Yu China Shunwu Yu's profile →
Citations per field
00.5×1.5×2.4×
Shunwu Yu · 1×
Citations per year

Countries citing papers authored by Hisataka Numa

Since Specialization
Citations

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

Fields of papers citing papers by Hisataka Numa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hisataka Numa

This figure shows the co-authorship network connecting the top 25 collaborators of Hisataka Numa. A scholar is included among the top collaborators of Hisataka Numa 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 Hisataka Numa. Hisataka Numa 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 2
2 2
3
全ゲノム配列決定によるバルク分離分析を組み合わせることによるイネ(Oryza sativa L.)における種子破砕のための遺伝子座の同定【JST・京大機械翻訳】
1
4 16
5 8
6 36
7 24
8
Rice Annotation Project Database (RAP-DB): An Integrative and Interactive Database for Rice Genomicsbreakdown →
566
9 16
10 4
11 22
12 6
13 36
14 3
15 4
16 1
17 1
18 12
19 2
20
Commodity Network Based Parallel I/O System for Massively Parallel Processors.
2

About Hisataka Numa

Hisataka Numa is a scholar working on Plant Science, Genetics and Molecular Biology, having authored 23 papers that have together received 802 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Chromosomal and Genetic Variations (6 papers). The work is most often cited by research in Plant Science (636 citations), Genetics (274 citations) and Molecular Biology (405 citations). Hisataka Numa has collaborated with scholars based in Japan, Taiwan and Russia. Frequent co-authors include Takeshi Itoh, Takuji Sasaki, Takashi Matsumoto, Hiroaki Sakai, Tsuyoshi Tanaka, Ching-chia Yang, Hironobu Wakimoto, Hachiro Inokuchi, Takashi Abe and Yoshihiro Kawahara. Their work appears in journals such as The EMBO Journal, PLANT PHYSIOLOGY and FEBS Letters.

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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