Nagako Kitagawa
- Physiology top 10%
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Nutrition and Dietetics top 10%
- Co-authors
- Kaname NakataniEsteban C. GabazzaYasuko HoriAkira KatsukiYutaka YanoYukihiko AdachiKohei MoriokaYasuhiro Sumida
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Metabolism, Diabetes, and Cancer (4 papers)Adipose Tissue and Metabolism (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismEuropean Journal of EndocrinologyDiabetes Research and Clinical Practice
- Partner nations
- JapanKuwaitUnited States
In The Last Decade
Nagako Kitagawa
12 papers receiving 640 citations
Peers
Comparison fields: 5 of 85
- Physiology 260
- Epidemiology 171
- Endocrinology, Diabetes and Metabolism 171
- Molecular Biology 163
- Nutrition and Dietetics 94
Countries citing papers authored by Nagako Kitagawa
This map shows the geographic impact of Nagako Kitagawa'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 Nagako Kitagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nagako Kitagawa more than expected).
Fields of papers citing papers by Nagako Kitagawa
This network shows the impact of papers produced by Nagako Kitagawa. 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 Nagako Kitagawa. The network helps show where Nagako Kitagawa may publish in the future.
Co-authorship network of co-authors of Nagako Kitagawa
This figure shows the co-authorship network connecting the top 25 collaborators of Nagako Kitagawa. A scholar is included among the top collaborators of Nagako Kitagawa 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 Nagako Kitagawa. Nagako Kitagawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 4 | |
| 3 | 27 | |
| 4 | 13 | |
| 5 | 46 | |
| 6 | 69 | |
| 7 | 341 | |
| 8 | 40 | |
| 9 | 52 | |
| 10 | 25 | |
| 11 | 43 | |
| 12 | Spontaneous hepatocellular adenoma with marked cystic degeneration. | 2 |
About Nagako Kitagawa
Nagako Kitagawa is a scholar working on Endocrinology, Diabetes and Metabolism, Hepatology and Biochemistry, having authored 12 papers that have together received 669 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Metabolism, Diabetes, and Cancer (4 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (90 citations), Biochemistry (63 citations) and Endocrinology, Diabetes and Metabolism (171 citations). Nagako Kitagawa has collaborated with scholars based in Japan, Kuwait and United States. Frequent co-authors include Kaname Nakatani, Esteban C. Gabazza, Yasuko Hori, Akira Katsuki, Yutaka Yano, Yukihiko Adachi, Kohei Morioka, Yasuhiro Sumida, Takashi Tanaka and Hideki Urakawa. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology and Diabetes Research and Clinical Practice.
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.