Kei Yamanaka

632 citations
66 papers · 483 indexed · h-index 13
Topics
Diet, Metabolism, and Disease (43 papers)Enzyme Structure and Function (29 papers)Amino Acid Enzymes and Metabolism (14 papers)
Partner nations
JapanBelgiumSpain

In The Last Decade

Kei Yamanaka

66 papers receiving 412 citations

Peers

Kei Yamanaka
Comparison fields: 5 of 57
  • Endocrinology, Diabetes and Metabolism 263
  • Molecular Biology 209
  • Materials Chemistry 152
  • Surgery 146
  • Biomedical Engineering 95
Replace Shakhawat Hossain Bhuiyan with:
Shakhawat Hossain Bhuiyan Japan
Seung‐Hye Hong South Korea
Ulrike Johnsen Germany
Der-Fong Fan United States
Narimasa Saito Japan
Mats Walfridsson Sweden
W O Barnell United States
W. Neuhauser Austria
Zita Lobo India
Peter M. Bruinenberg Netherlands
Kei Yamanaka relative to Shakhawat Hossain Bhuiyan Japan Shakhawat Hossain Bhuiyan's profile →
Citations per field
00.5×3.3×
Shakhawat Hossain Bhuiyan · 1×
Citations per year

Countries citing papers authored by Kei Yamanaka

Since Specialization
Citations

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

Fields of papers citing papers by Kei Yamanaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kei Yamanaka

This figure shows the co-authorship network connecting the top 25 collaborators of Kei Yamanaka. A scholar is included among the top collaborators of Kei Yamanaka 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 Kei Yamanaka. Kei Yamanaka 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
1
2 4
3 5
4 15
5 3
6 1
7 24
8 6
9 17
10 6
11
Detection of D-Xylose Isomerase on Disc Electrophoresis
1
12 6
13 7
14
Sugar Isomerases:Part II. Purification and Properties of D-Glucose Isomerase from Lactobacillus brevis
2
15 3
16 2
17
Studies on the Pentose Isomerases from Lactic Acid Bacteria:Part VIII. Separation of D-Xylose and L-Arabinose Isomerases
1
18 1
19 1
20 1

About Kei Yamanaka

Kei Yamanaka is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Materials Chemistry, having authored 66 papers that have together received 483 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (43 papers), Enzyme Structure and Function (29 papers) and Amino Acid Enzymes and Metabolism (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (263 citations), Biochemistry (59 citations) and Biotechnology (45 citations). Kei Yamanaka has collaborated with scholars based in Japan, Belgium and Spain. Frequent co-authors include Shūzō Sakai, Ken Izumori, Keisuke Matsumoto, H Kersters-Hilderson, Clement K. De Bruyne, T. Saito, Kenji Wakabayashi, Tadao Oikawa, Takayuki Ogata and Jiro Shimizu. Their work appears in journals such as Analytical Biochemistry, FEBS Letters and Methods in enzymology on CD-ROM/Methods in enzymology.

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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