Masayuki Funaba
Impact in
- Physiology top 5%
- Adipose Tissue and Metabolism
- Small Animals top 2%
Papers in
-
- TGF-β signaling in diseases 40
- Kruppel-like factors research 17
- Physiology 40
- Adipose Tissue and Metabolism 36
- Co-authors
- Masaru Murakami (64 shared papers)Tohru Matsui (58 shared papers)Kenji Ogawa (16 shared papers)Lawrence S. Mathews (4 shared papers)Teruo Ikeda (15 shared papers)Matanobu ABE (35 shared papers)Osamu Hashimoto (26 shared papers)Yohei Kanamori (16 shared papers)
- Journals
- Cell Biochemistry and Function (12 papers)Journal of Animal Science (10 papers)Animal Science Journal (6 papers)Biochemical and Biophysical Research Communications (5 papers)EXPERIMENTAL ANIMALS (5 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Masayuki Funaba
170 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 121
- Physiology 534
- Small Animals 160
- Immunology and Allergy 104
- Hematology 189
- Nutrition and Dietetics 255
Countries citing papers authored by Masayuki Funaba
This map shows the geographic impact of Masayuki Funaba'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 Masayuki Funaba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Funaba more than expected).
Fields of papers citing papers by Masayuki Funaba
This network shows the impact of papers produced by Masayuki Funaba. 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 Masayuki Funaba. The network helps show where Masayuki Funaba may publish in the future.
Co-authors
The 25 scholars most cited alongside Masayuki Funaba, 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 176 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 155 | |
| 2 | 2006 | 112 | |
| 3 | 2000 | 78 | |
| 4 | 2013 | 78 | |
| 5 | 2017 | 73 | |
| 6 | 2003 | 59 | |
| 7 | 2016 | 51 | |
| 8 | 2018 | 51 | |
| 9 | 2003 | 49 | |
| 10 | 2003 | 47 | |
| 11 | 1996 | 46 | |
| 12 | 2009 | 45 | |
| 13 | 2003 | 38 | |
| 14 | 2019 | 37 | |
| 15 | 2016 | 37 | |
| 16 | 2000 | 37 | |
| 17 | 2008 | 36 | |
| 18 | 2013 | 36 | |
| 19 | 1997 | 34 | |
| 20 | 1998 | 33 |
About Masayuki Funaba
Masayuki Funaba is a scholar working on Molecular Biology, Physiology, Nutrition and Dietetics, Animal Science and Zoology and Cell Biology, having authored 176 papers that have together received 2.6k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (40 papers), Adipose Tissue and Metabolism (36 papers), Ruminant Nutrition and Digestive Physiology (19 papers), Kruppel-like factors research (17 papers), Animal Nutrition and Physiology (16 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers), Trace Elements in Health (15 papers) and Animal health and immunology (14 papers). The work is most often cited by research in Physiology (534 citations), Small Animals (160 citations), Immunology and Allergy (104 citations), Hematology (189 citations) and Nutrition and Dietetics (255 citations). Masayuki Funaba has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Masaru Murakami, Tohru Matsui, Kenji Ogawa, Lawrence S. Mathews, Teruo Ikeda, Matanobu ABE, Osamu Hashimoto, Yohei Kanamori, Tsunenori IRIKI and Cole M. Zimmerman. Their work appears in journals such as Cell Biochemistry and Function, Journal of Animal Science, Animal Science Journal, Biochemical and Biophysical Research Communications and EXPERIMENTAL ANIMALS.
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.