Naoko Sanno

2.0k citations
77 papers · 1.6k indexed · h-index 25
Topics
Pituitary Gland Disorders and Treatments (48 papers)Growth Hormone and Insulin-like Growth Factors (35 papers)Neuroendocrine Tumor Research Advances (10 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Naoko Sanno

76 papers receiving 1.5k citations

Peers

Naoko Sanno
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Surgery 398
  • Molecular Biology 382
  • Epidemiology 371
  • Genetics 269
Replace Song-Guang Ren with:
Song-Guang Ren United States
Luis V. Syro Colombia
Alexandru Saveanu France
Marica Arvigo Italy
Shunichi Matsumoto Japan
Erika Peverelli Italy
Kam‐Tsun Tang Taiwan
Michael Woloschak United States
Juji Takeuchi Japan
J. P. Moreau France
Naoko Sanno relative to Song-Guang Ren United States Song-Guang Ren's profile →
Citations per field
00.5×1.5×
Song-Guang Ren · 1×
Citations per year

Countries citing papers authored by Naoko Sanno

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Sanno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Sanno

This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Sanno. A scholar is included among the top collaborators of Naoko Sanno 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 Naoko Sanno. Naoko Sanno 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 5
2 13
3 32
4 14
5 76
6 36
7 35
8 15
9 15
10 22
11 24
12 36
13 8
14 47
15 28
16 11
17 9
18 27
19 15
20 13

About Naoko Sanno

Naoko Sanno is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Neurology, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (48 papers), Growth Hormone and Insulin-like Growth Factors (35 papers) and Neuroendocrine Tumor Research Advances (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Genetics (269 citations) and Neurology (195 citations). Naoko Sanno has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Akira Teramoto, R. Yoshiyuki Osamura, Shigeyuki Tahara, R. Yoshiyuki Osamura, Ricardo V. Lloyd, Akira Matsuno, Bernd W. Scheithauer, Susumu Takekoshi, Akira Teramoto and Long Jin. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Journal of neurosurgery.

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.

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