Yukiko Yajima
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Cell Biology
- Cellular and Molecular Neuroscience
- Epidemiology
- Co-authors
- Seiichi KawashimaToshikazu SaitoYoshiko AkitaMayumi SatoShigeo OhnoKeiji TanakaKoichi SuzukiTakaaki Tai
- Topics
- Growth Hormone and Insulin-like Growth Factors (9 papers)Glycosylation and Glycoproteins Research (6 papers)Protein Kinase Regulation and GTPase Signaling (6 papers)
- Journals
- Journal of Biological ChemistryThe Journal of Clinical Endocrinology & MetabolismBiochemical Journal
- Partner nations
- JapanUnited States
In The Last Decade
Yukiko Yajima
27 papers receiving 560 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 382
- Endocrinology, Diabetes and Metabolism 110
- Cell Biology 106
- Cellular and Molecular Neuroscience 90
- Epidemiology 61
Countries citing papers authored by Yukiko Yajima
This map shows the geographic impact of Yukiko Yajima'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 Yukiko Yajima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yukiko Yajima more than expected).
Fields of papers citing papers by Yukiko Yajima
This network shows the impact of papers produced by Yukiko Yajima. 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 Yukiko Yajima. The network helps show where Yukiko Yajima may publish in the future.
Co-authorship network of co-authors of Yukiko Yajima
This figure shows the co-authorship network connecting the top 25 collaborators of Yukiko Yajima. A scholar is included among the top collaborators of Yukiko Yajima 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 Yukiko Yajima. Yukiko Yajima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | Inhibition of cancer cell growth by anti-Tn monoclonal antibody MLS128. | 24 |
| 3 | 15 | |
| 4 | 18 | |
| 5 | 41 | |
| 6 | 80 | |
| 7 | 14 | |
| 8 | 7 | |
| 9 | 15 | |
| 10 | 1 | |
| 11 | 61 | |
| 12 | 6 | |
| 13 | 58 | |
| 14 | 7 | |
| 15 | 11 | |
| 16 | 67 | |
| 17 | 6 | |
| 18 | 9 | |
| 19 | 27 | |
| 20 | 4 |
About Yukiko Yajima
Yukiko Yajima is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology and Allergy and Cell Biology, having authored 27 papers that have together received 575 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (9 papers), Glycosylation and Glycoproteins Research (6 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (110 citations), Cell Biology (106 citations) and Molecular Biology (382 citations). Yukiko Yajima has collaborated with scholars based in Japan and United States. Frequent co-authors include Seiichi Kawashima, Toshikazu Saito, Yoshiko Akita, Mayumi Sato, Shigeo Ohno, Keiji Tanaka, Koichi Suzuki, Takaaki Tai, Yoshiki Nunoura and Yoko Fujita‐Yamaguchi. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Biochemical Journal.
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.