Takahiro Seki
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 2%
- Angiogenesis and VEGF in Cancer
Papers in
-
- Angiogenesis and VEGF in Cancer 8
- Fibroblast Growth Factor Research 4
- Physiology 13
- Adipose Tissue and Metabolism 11
- Co-authors
- Yihai Cao (23 shared papers)Hiroshi Maeda (11 shared papers)Jun Fang (7 shared papers)P. Nordlund (3 shared papers)Rozbeh Jafari (1 shared paper)Andreas Larsson (1 shared paper)Dan Chen (1 shared paper)Marina Ignatushchenko (1 shared paper)
In The Last Decade
Takahiro Seki
58 papers receiving 4.9k citations
Takahiro Seki's Hit Papers
Peers
Comparison fields: 5 of 135
- Cancer Research 678
- Molecular Biology 2.4k
- Applied Microbiology and Biotechnology 48
- Oncology 653
- Physiology 617
Countries citing papers authored by Takahiro Seki
This map shows the geographic impact of Takahiro Seki'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 Takahiro Seki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takahiro Seki more than expected).
Fields of papers citing papers by Takahiro Seki
This network shows the impact of papers produced by Takahiro Seki. 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 Takahiro Seki. The network helps show where Takahiro Seki may publish in the future.
Co-authors
The 25 scholars most cited alongside Takahiro Seki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Monitoring Drug Target Engagement in Cells and Tissues Using the Cellular Thermal Shift Assay Hit paper breakdown → | 2013 | 1581 |
| 2 | 2009 | 477 | |
| 3 | 2016 | 276 | |
| 4 | 2018 | 245 | |
| 5 | 2013 | 179 | |
| 6 | 2012 | 174 | |
| 7 | Brown-fat-mediated tumour suppression by cold-altered global metabolism Hit paper breakdown → | 2022 | 164 |
| 8 | 2009 | 149 | |
| 9 | 2013 | 127 | |
| 10 | 2000 | 117 | |
| 11 | 2013 | 94 | |
| 12 | 2007 | 94 | |
| 13 | 2018 | 91 | |
| 14 | 2016 | 89 | |
| 15 | 2016 | 87 | |
| 16 | 2018 | 66 | |
| 17 | 2007 | 61 | |
| 18 | 2000 | 60 | |
| 19 | 2017 | 58 | |
| 20 | 2017 | 54 |
About Takahiro Seki
Takahiro Seki is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Oncology and Epidemiology, having authored 59 papers that have together received 5.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Angiogenesis and VEGF in Cancer (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Cardiovascular Disease and Adiposity (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), Bacteriophages and microbial interactions (6 papers), Bacterial Genetics and Biotechnology (5 papers) and Fibroblast Growth Factor Research (4 papers). The work is most often cited by research in Cancer Research (678 citations), Molecular Biology (2.4k citations), Applied Microbiology and Biotechnology (48 citations), Oncology (653 citations) and Physiology (617 citations). Takahiro Seki has collaborated with scholars based in Japan, Sweden and China. Frequent co-authors include Yihai Cao, Hiroshi Maeda, Jun Fang, P. Nordlund, Rozbeh Jafari, Andreas Larsson, Dan Chen, Marina Ignatushchenko, Daniel Martinez Molina and Sharon Lim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications, Genes & Genetic Systems, Journal of Controlled Release 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.