Kyoko Takeuchi
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- Bone health and treatments
- Peptidase Inhibition and Analysis
Papers in
- Hematology 16
- Multiple Myeloma Research and Treatments 13
-
- Scientific Measurement and Uncertainty Evaluation 5
- Co-authors
- Shuji OzakiMasahiro AbeToshio MatsumotoHiroe AmouAsuka OdaAyako NakanoKumiko KagawaMasahiro Hiasa
- Journals
- Blood (9 papers)International Journal of Hematology (7 papers)Thin Solid Films (4 papers)Vacuum (4 papers)Biochemical and Biophysical Research Communications (4 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Kyoko Takeuchi
89 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 143
- Hematology 330
- Oncology 397
- Biochemistry 86
- Cancer Research 162
- Developmental Neuroscience 42
Countries citing papers authored by Kyoko Takeuchi
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2013 | 20 | |
| 5 | 2012 | 0 | |
| 6 | 2012 | 36 | |
| 7 | 2011 | 4 | |
| 8 | 2011 | 22 | |
| 9 | 2010 | 108 | |
| 10 | 2008 | 25 | |
| 11 | 2007 | 42 | |
| 12 | 2007 | 30 | |
| 13 | 2002 | 4 | |
| 14 | 2001 | 63 | |
| 15 | 1999 | 4 | |
| 16 | 1998 | 2 | |
| 17 | 1998 | 29 | |
| 18 | 1994 | 25 | |
| 19 | 1989 | 64 | |
| 20 | Notches at the non-epiphyseal end of the second metacarpal in Japanese-American hybrids. | 1982 | 0 |
About Kyoko Takeuchi
Kyoko Takeuchi is a scholar working on Hematology, Statistics, Probability and Uncertainty, Aging, Bioengineering and Oncology, having authored 98 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (13 papers), Peptidase Inhibition and Analysis (6 papers), Scientific Measurement and Uncertainty Evaluation (5 papers), nanoparticles nucleation surface interactions (5 papers), Bone health and treatments (4 papers), Glycosylation and Glycoproteins Research (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Analytical Chemistry and Sensors (3 papers). The work is most often cited by research in Hematology (330 citations), Oncology (397 citations), Biochemistry (86 citations), Cancer Research (162 citations) and Developmental Neuroscience (42 citations). Kyoko Takeuchi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shuji Ozaki, Masahiro Abe, Toshio Matsumoto, Hiroe Amou, Asuka Oda, Ayako Nakano, Kumiko Kagawa, Masahiro Hiasa, K. Abe and Nobuyuki Takahashi. Their work appears in journals such as Blood, International Journal of Hematology, Thin Solid Films, Vacuum 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.