R Demura
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology
- Surgery top 10%
- Physiology
- Reproductive Medicine top 5%
- Co-authors
- Hiroshi DemuraKAZUO SHIZUMEE OdagiriK JibikiKiyoko NaruseMitsuhide NaruseAkiyo TanabeIchiji Wakabayashi
- Topics
- Pituitary Gland Disorders and Treatments (29 papers)Growth Hormone and Insulin-like Growth Factors (28 papers)Hormonal Regulation and Hypertension (14 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismCancerBiochemical and Biophysical Research Communications
- Partner nations
- JapanPakistanUnited States
In The Last Decade
R Demura
102 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Endocrinology, Diabetes and Metabolism 923
- Molecular Biology 438
- Surgery 335
- Physiology 184
- Reproductive Medicine 159
Countries citing papers authored by R Demura
This map shows the geographic impact of R Demura'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 R Demura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R Demura more than expected).
Fields of papers citing papers by R Demura
This network shows the impact of papers produced by R Demura. 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 R Demura. The network helps show where R Demura may publish in the future.
Co-authorship network of co-authors of R Demura
This figure shows the co-authorship network connecting the top 25 collaborators of R Demura. A scholar is included among the top collaborators of R Demura 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 R Demura. R Demura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 18 | |
| 3 | 28 | |
| 4 | 17 | |
| 5 | 6 | |
| 6 | 111 | |
| 7 | 21 | |
| 8 | [Clinical evaluation of ErbB-2 protein in tissue extract using an enzyme immuno assay (ErbB-2 EIA "Nichirei")]. | 5 |
| 9 | [Clinical evaluation of serum ErbB-2 protein using enzyme immuno assay (ErbB-2 EIA [Nichirei])]. | 5 |
| 10 | [Clinical study of serum ErbB-2 protein using sandwich radioimmunometric assay (ErbB-2 IRMA 'Eiken')]. | 1 |
| 11 | 67 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 52 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | [A study of the clinical usefulness of the CA15-3 radioimmunoassay kit]. | 4 |
| 19 | 39 | |
| 20 | [Growth hormone, prolactin, LH and FSH secretion in tissue culture of pituitary adenomas (author's transl)]. | 2 |
About R Demura
R Demura is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Reproductive Medicine, having authored 107 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (29 papers), Growth Hormone and Insulin-like Growth Factors (28 papers) and Hormonal Regulation and Hypertension (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (923 citations), Behavioral Neuroscience (124 citations) and Reproductive Medicine (159 citations). R Demura has collaborated with scholars based in Japan, Pakistan and United States. Frequent co-authors include Hiroshi Demura, KAZUO SHIZUME, E Odagiri, K Jibiki, Kiyoko Naruse, Mitsuhide Naruse, Akiyo Tanabe, Ichiji Wakabayashi, Takanobu Yoshimoto and Toshiro Seki. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer 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.