Hideki Nakayama

4.2k citations
124 papers · 3.4k indexed · h-index 30
Topics
Plant Stress Responses and Tolerance (11 papers)Microbial Metabolic Engineering and Bioproduction (10 papers)Injection Molding Process and Properties (10 papers)
Partner nations
JapanSwitzerlandChina

In The Last Decade

Hideki Nakayama

118 papers receiving 3.3k citations

Peers

Hideki Nakayama
Comparison fields: 5 of 133
  • Molecular Biology 955
  • Electrical and Electronic Engineering 903
  • Plant Science 803
  • Oncology 520
  • Materials Chemistry 344
Replace Daniel Ortiz with:
Daniel Ortiz Switzerland
Stęphan T. Stern United States
Bi‐Feng Yuan China
Yueping Zhang China
Liwen Zhang China
Clemente Capasso Italy
Huan Wang China
Gerald Brenner‐Weiß Germany
Qingqing Xu China
Masayuki Oda Japan
Hideki Nakayama relative to Daniel Ortiz Switzerland Daniel Ortiz's profile →
Citations per field
00.5×6.5×
Daniel Ortiz · 1×
Citations per year

Countries citing papers authored by Hideki Nakayama

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Nakayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Nakayama

This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Nakayama. A scholar is included among the top collaborators of Hideki Nakayama 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 Hideki Nakayama. Hideki Nakayama 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 0
2 1
3 8
4 2
5 6
6 3
7 36
8 82
9 15
10 40
11 10
12 5
13 0
14 81
15 120
16 18
17 1
18 27
19 40
20 11

About Hideki Nakayama

Hideki Nakayama is a scholar working on Automotive Engineering, Molecular Biology and Nephrology, having authored 124 papers that have together received 3.4k indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (11 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Injection Molding Process and Properties (10 papers). The work is most often cited by research in Transplantation (85 citations), Pharmacology (195 citations) and Plant Science (803 citations). Hideki Nakayama has collaborated with scholars based in Japan, Switzerland and China. Frequent co-authors include Shinji Nakanishi, Hideki Iba, Masafumi Nose, Kunihiro Nobuhara, Atsuhiko Shinmyō, Kazuya Yoshida, Tomoaki Horie, Shigeru Horita, Hiroyuki Kusuhara and Yuichi Sugiyama. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Applied Physics 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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