Nobuo Kugai

63 papers receiving 1.0k citations

Peers

Nobuo Kugai
Comparison fields: 5 of 99
  • Molecular Biology 393
  • Oncology 331
  • Endocrinology, Diabetes and Metabolism 204
  • Physiology 155
  • Orthopedics and Sports Medicine 144
Replace Will G. Ryan with:
Will G. Ryan United States
Barbara Toffoli Italy
R. A. Melick Australia
Rita van Bree Belgium
Seong Yeon Kim South Korea
Saverio Loddo Italy
C. Morieux France
Stephan Scharla Germany
C. E. Fiore Italy
Janez Preželj Slovenia
Nobuo Kugai relative to Will G. Ryan United States Will G. Ryan's profile →
Citations per field
00.5×10×
Will G. Ryan · 1×
Citations per year

Countries citing papers authored by Nobuo Kugai

Since Specialization
Citations

This map shows the geographic impact of Nobuo Kugai'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 Nobuo Kugai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuo Kugai more than expected).

Fields of papers citing papers by Nobuo Kugai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nobuo Kugai. 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 Nobuo Kugai. The network helps show where Nobuo Kugai may publish in the future.

Co-authorship network of co-authors of Nobuo Kugai

This figure shows the co-authorship network connecting the top 25 collaborators of Nobuo Kugai. A scholar is included among the top collaborators of Nobuo Kugai 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 Nobuo Kugai. Nobuo Kugai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 25
3 49
4 26
5 49
6 13
7 12
8 29
9 40
10 36
11
[Laboratory tests in primary care medicine: pre-clinical, ambulatory screening test system on the basis of the patient's chief complaints in the initial diagnosis making].
1
12 9
13 9
14
A Case of Pyogenic Vertebral Osteomyelitis Associated with NIDDM: With Special Reference to Radiographic Examinations
1
15 3
16
[Phase I study of FK 435].
3
17 6
18 10
19
[A case of polyarteritis nodosa with diffuse pulmonary hemorrhage and acute renal failure].
1
20 3

About Nobuo Kugai

Nobuo Kugai is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 65 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bone health and treatments (18 papers), Parathyroid Disorders and Treatments (12 papers) and Bone Metabolism and Diseases (7 papers). The work is most often cited by research in Orthopedics and Sports Medicine (144 citations), Endocrinology, Diabetes and Metabolism (204 citations) and Oncology (331 citations). Nobuo Kugai has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Takuhiko Akatsu, Naokazu Nagata, Michiko Yamamoto, Yasuyuki Katayama, Seiki Wada, Katsuhiro Ono, YOSHINOBU KOIDE, Kamejiro Yamashita, Takehiko Murakami and Etsuro Ogata. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and Endocrinology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026