Jiro Takei

785 citations
17 papers · 656 · h-index 13

Impact in

Papers in

    • Protein Structure and Dynamics 6
    • Glycosylation and Glycoproteins Research 3
    • RNA Interference and Gene Delivery 3
    • Lipid Membrane Structure and Behavior 1
    • Enzyme Structure and Function 5

Jiro Takei

17 papers receiving 647 citations

Peers

Jiro Takei
Comparison fields: 5 of 92
  • Cell Biology 123
  • Biomaterials 92
  • Molecular Biology 462
  • Microbiology 34
  • Materials Chemistry 176
Replace Hang‐Cheol Shin with:
Hang‐Cheol Shin South Korea
Y C Lee United States
Jack A. Lucy United Kingdom
Megumi Kosaka Japan
Giulio Preta Lithuania
Christine Pernelle France
Clara Aicart-Ramos Spain
Valerie C. Smith Canada
Lorna Hodgson United Kingdom
Giovanni Gotte Italy
Jiro Takei relative to Hang‐Cheol Shin South Korea Hang‐Cheol Shin's profile →
Citations per field
00.5×1.5×2.5×
Hang‐Cheol Shin · 1×
Citations per year

Countries citing papers authored by Jiro Takei

Since Specialization
Citations

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

Fields of papers citing papers by Jiro Takei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiro Takei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jiro Takei Line = papers co-authored together Jiro Takei links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 200697
2 200292
3 200275
4 200264
5 200355
6 200849
7 199947
8 200033
9 200231
10 199927
11 200626
12 199819
13 199917
14 200610
15 200210
16 19983
17 19921

About Jiro Takei

Jiro Takei is a scholar working on Molecular Biology, Materials Chemistry, Biomaterials, Cell Biology and Surgery, having authored 17 papers that have together received 656 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (5 papers), Supramolecular Self-Assembly in Materials (4 papers), Hemoglobin structure and function (3 papers), Glycosylation and Glycoproteins Research (3 papers), RNA Interference and Gene Delivery (3 papers), Pancreatic function and diabetes (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Cell Biology (123 citations), Biomaterials (92 citations), Molecular Biology (462 citations), Microbiology (34 citations) and Materials Chemistry (176 citations). Jiro Takei has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Yawen Bai, Ruiai Chu, Wuhong Pei, Christopher E. Dempsey, Nalu Navarro–Álvarez, Alejandro Soto–Gutiérrez, Attila Reményi, Noriaki Tanaka, Jorge David Rivas‐Carrillo and Naoya Kobayashi. Their work appears in journals such as Biochemistry, Cell Transplantation, Biochemical Society Transactions, Protein Engineering Design and Selection 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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