Hitoshi Kakidani

2.6k citations
22 papers · 2.1k indexed · 1 hit paper · h-index 14
Topics
Viral Infectious Diseases and Gene Expression in Insects (4 papers)Growth Hormone and Insulin-like Growth Factors (4 papers)Receptor Mechanisms and Signaling (4 papers)
Partner nations
JapanUnited States

In The Last Decade

Hitoshi Kakidani

22 papers receiving 2.0k citations

Hit Papers

Cloning and sequence analysis of cDNA for porcine β-neo-e...19822026199620111982200400600

Peers

Hitoshi Kakidani
Comparison fields: 5 of 93
  • Molecular Biology 1.6k
  • Cellular and Molecular Neuroscience 871
  • Genetics 307
  • Physiology 229
  • Immunology 129
Replace Karen Yamamoto with:
Karen Yamamoto United States
Yuuki Morimoto Japan
Emer S. Ferro Brazil
Neal C. Birnberg United States
Takashi Chijiwa Japan
Julia H. White United Kingdom
Louise Gerber United States
Daniel Luk United States
André Vandermeers Belgium
John Brennand United Kingdom
Hitoshi Kakidani relative to Karen Yamamoto United States Karen Yamamoto's profile →
Citations per field
00.5×1.7×
Karen Yamamoto · 1×
Citations per year

Countries citing papers authored by Hitoshi Kakidani

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Kakidani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Kakidani

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Kakidani. A scholar is included among the top collaborators of Hitoshi Kakidani 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 Hitoshi Kakidani. Hitoshi Kakidani 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 9
2 11
3 5
4 15
5 4
6 13
7 10
8 5
9 5
10 29
11 49
12 8
13 272
14 307
15 266
16 29
17 79
18 290
19
Cloning and sequence analysis of cDNA for porcine β-neo-endorphin/dynorphin precursorbreakdown →
634
20 59

About Hitoshi Kakidani

Hitoshi Kakidani is a scholar working on Biochemistry, Clinical Biochemistry and Molecular Biology, having authored 22 papers that have together received 2.1k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (871 citations), Molecular Biology (1.6k citations) and Behavioral Neuroscience (68 citations). Hitoshi Kakidani has collaborated with scholars based in Japan and United States. Frequent co-authors include Mark Ptashne, Michael Carey, Masaharu Noda, Shosaku Numa, Seiichi Inayama, Hideo Takahashi, Tadaaki Hirose, Shigetada Nakanishi, Robert G. Roeder and Masami Horikoshi. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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