Junko Doi
Impact in
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
- Behavioral Neuroscience top 10%
Papers in
-
- Metabolism, Diabetes, and Cancer 8
- Muscle Physiology and Disorders 4
- RNA Research and Splicing 3
- Ion channel regulation and function 3
-
- Adipose Tissue and Metabolism 5
- Co-authors
- Hiroshi Takemori (19 shared papers)Mitsuhiro Okamoto (16 shared papers)Yoshiko Katoh (15 shared papers)Nanao Horike (11 shared papers)Masaaki Muraoka (6 shared papers)Min Li (5 shared papers)Xing‐zi Lin (8 shared papers)Yasuki Nonaka (4 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Endocrine Research (3 papers)European Journal of Biochemistry (3 papers)Molecular and Cellular Endocrinology (3 papers)Animal Science Journal (2 papers)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Junko Doi
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 92
- Endocrine and Autonomic Systems 89
- Behavioral Neuroscience 46
- Molecular Biology 680
- Cancer Research 131
- Aging 13
Countries citing papers authored by Junko Doi
This map shows the geographic impact of Junko Doi'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 Junko Doi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junko Doi more than expected).
Fields of papers citing papers by Junko Doi
This network shows the impact of papers produced by Junko Doi. 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 Junko Doi. The network helps show where Junko Doi may publish in the future.
Co-authors
The 25 scholars most cited alongside Junko Doi, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 136 | |
| 2 | 2006 | 135 | |
| 3 | 2003 | 89 | |
| 4 | 2020 | 84 | |
| 5 | 2004 | 73 | |
| 6 | 2002 | 71 | |
| 7 | 2004 | 64 | |
| 8 | 2001 | 59 | |
| 9 | 2002 | 48 | |
| 10 | 2009 | 47 | |
| 11 | 1984 | 44 | |
| 12 | 2015 | 42 | |
| 13 | 2007 | 34 | |
| 14 | 2023 | 32 | |
| 15 | 2022 | 29 | |
| 16 | 2011 | 25 | |
| 17 | 2001 | 20 | |
| 18 | 2005 | 17 | |
| 19 | 2001 | 13 | |
| 20 | 2002 | 13 |
About Junko Doi
Junko Doi is a scholar working on Molecular Biology, Physiology, Cancer Research, Oncology and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Hormonal Regulation and Hypertension (5 papers), Adipose Tissue and Metabolism (5 papers), Muscle Physiology and Disorders (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), RNA Research and Splicing (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (89 citations), Behavioral Neuroscience (46 citations), Molecular Biology (680 citations), Cancer Research (131 citations) and Aging (13 citations). Junko Doi has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Hiroshi Takemori, Mitsuhiro Okamoto, Yoshiko Katoh, Nanao Horike, Masaaki Muraoka, Min Li, Xing‐zi Lin, Yasuki Nonaka, Akira Miyauchi and Osamu Hatano. Their work appears in journals such as Journal of Biological Chemistry, Endocrine Research, European Journal of Biochemistry, Molecular and Cellular Endocrinology and Animal Science 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.