Takako Koga
- Molecular Biology top 2%
- Oncology top 1%
- Cancer Research top 1%
- Immunology top 5%
- Rheumatology top 1%
- Co-authors
- Tatsuhiko KodamaHiroshi TakayanagiTadatsugu TaniguchiSunhwa KimJun‐ichiro InoueTaeko YokochiMasashi IsshikiAkio Saiura
- Topics
- Bone Metabolism and Diseases (13 papers)Fungal and yeast genetics research (8 papers)NF-κB Signaling Pathways (8 papers)
- Partner nations
- JapanUnited StatesAustria
In The Last Decade
Takako Koga
22 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 3.9k
- Oncology 2.2k
- Cancer Research 1.1k
- Immunology 794
- Rheumatology 622
Countries citing papers authored by Takako Koga
This map shows the geographic impact of Takako Koga'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 Takako Koga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takako Koga more than expected).
Fields of papers citing papers by Takako Koga
This network shows the impact of papers produced by Takako Koga. 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 Takako Koga. The network helps show where Takako Koga may publish in the future.
Co-authorship network of co-authors of Takako Koga
This figure shows the co-authorship network connecting the top 25 collaborators of Takako Koga. A scholar is included among the top collaborators of Takako Koga 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 Takako Koga. Takako Koga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [On "2015 Guidelines for Prevention and Treatment of Osteoporosis". Cellular mechanism and etiology of osteoporosis]. | 1 |
| 2 | 37 | |
| 3 | 26 | |
| 4 | 256 | |
| 5 | 249 | |
| 6 | 98 | |
| 7 | 92 | |
| 8 | 192 | |
| 9 | 387 | |
| 10 | 38 | |
| 11 | 61 | |
| 12 | Costimulatory signals mediated by the ITAM motif cooperate with RANKL for bone homeostasisbreakdown → | 673 |
| 13 | 19 | |
| 14 | 23 | |
| 15 | 35 | |
| 16 | 5 | |
| 17 | 228 | |
| 18 | 16 | |
| 19 | 35 | |
| 20 | Induction and Activation of the Transcription Factor NFATc1 (NFAT2) Integrate RANKL Signaling in Terminal Differentiation of Osteoclastsbreakdown → | 2215 |
About Takako Koga
Takako Koga is a scholar working on Cancer Research, Cell Biology and Molecular Biology, having authored 22 papers that have together received 4.7k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (13 papers), Fungal and yeast genetics research (8 papers) and NF-κB Signaling Pathways (8 papers). The work is most often cited by research in Oncology (2.2k citations), Cancer Research (1.1k citations) and Orthopedics and Sports Medicine (570 citations). Takako Koga has collaborated with scholars based in Japan, United States and Austria. Frequent co-authors include Tatsuhiko Kodama, Hiroshi Takayanagi, Tadatsugu Taniguchi, Sunhwa Kim, Jun‐ichiro Inoue, Taeko Yokochi, Masashi Isshiki, Akio Saiura, Hiroki Yoshida and Hiroshi Nishina. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.