Kyoko Takeuchi

2.3k citations
98 papers · 1.8k · h-index 22

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Oncology top 10%
    • Bone health and treatments
    • Peptidase Inhibition and Analysis

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Receptor Mechanisms and Signaling 3
    • Multiple Myeloma Research and Treatments 11

Kyoko Takeuchi

89 papers receiving 1.7k citations

Peers

Kyoko Takeuchi
Comparison fields: 5 of 143
  • Hematology 313
  • Oncology 344
  • Biochemistry 83
  • Cancer Research 151
  • Developmental Neuroscience 38
Replace John F. Martin with:
John F. Martin United Kingdom
Jae Min Jeong South Korea
Christian Alexandre France
Masanori Nakamura Japan
Satoru Yamaguchi Japan
Kjell Nustad Norway
Chenggang Li China
Claire Rodriguez‐Lafrasse France
James A. Radosevich United States
Kazuhiro Nomura Japan
Kyoko Takeuchi relative to John F. Martin United Kingdom John F. Martin's profile →
Citations per field
00.5×3.2×
John F. Martin · 1×
Citations per year

Countries citing papers authored by Kyoko Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Kyoko Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kyoko Takeuchi, 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 Kyoko Takeuchi Line = papers co-authored together Kyoko Takeuchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007131
2 1991128
3 2010108
4
[New grading of level of disordered consiousness (author's transl)].
1974105
5 200998
6 201191
7 201182
8 199581
9 199368
10 198964
11 200162
12 200255
13 200744
14 196741
15 201236
16 200731
17 199829
18 199425
19 200825
20 200325

About Kyoko Takeuchi

Kyoko Takeuchi is a scholar working on Molecular Biology, Hematology, Oncology, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 98 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (11 papers), Peptidase Inhibition and Analysis (6 papers), nanoparticles nucleation surface interactions (5 papers), Scientific Measurement and Uncertainty Evaluation (5 papers), Glycosylation and Glycoproteins Research (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Receptor Mechanisms and Signaling (3 papers) and Diamond and Carbon-based Materials Research (3 papers). The work is most often cited by research in Hematology (313 citations), Oncology (344 citations), Biochemistry (83 citations), Cancer Research (151 citations) and Developmental Neuroscience (38 citations). Kyoko Takeuchi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shuji Ozaki, Toshio Matsumoto, Masahiro Abe, Hiroe Amou, Asuka Oda, Ayako Nakano, Kumiko Kagawa, K. Abe, Masahiro Hiasa and Nobuyuki Takahashi. Their work appears in journals such as Blood, International Journal of Hematology, Vacuum, Thin Solid Films and Biochemical and Biophysical Research Communications.

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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