Genzo Iguchi

3.1k citations
104 papers · 2.4k · h-index 28

Impact in

Papers in

Genzo Iguchi

101 papers receiving 2.3k citations

Peers

Genzo Iguchi
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Endocrine and Autonomic Systems 231
  • Epidemiology 522
  • Physiology 397
  • Aging 25
Replace Sergio Li Calzi with:
Sergio Li Calzi United States
Billie M. Moats‐Staats United States
J. Zapf Switzerland
Serkan Kır Türkiye
Kàroly Rácz Hungary
Karen Ruschke Germany
Paul A. Dutchak Canada
Kilian Rittig Germany
Takeshi Oya Japan
Tetsuya Hosooka Japan
Genzo Iguchi relative to Sergio Li Calzi United States Sergio Li Calzi's profile →
Citations per field
00.5×4.3×
Sergio Li Calzi · 1×
Citations per year

Countries citing papers authored by Genzo Iguchi

Since Specialization
Citations

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

Fields of papers citing papers by Genzo Iguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Genzo Iguchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Genzo Iguchi Line = papers co-authored together Genzo Iguchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012145
2 2016126
3 2011124
4 2013103
5 201184
6 201080
7 201277
8 201073
9 201272
10 200369
11 201363
12 201462
13 201959
14 202150
15 201944
16 201744
17 199943
18 201243
19 201342
20 201737

About Genzo Iguchi

Genzo Iguchi is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Genetics and Neurology, having authored 104 papers that have together received 2.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (33 papers), Pituitary Gland Disorders and Treatments (33 papers), Adrenal Hormones and Disorders (13 papers), Adrenal and Paraganglionic Tumors (9 papers), Hormonal Regulation and Hypertension (7 papers), Adipose Tissue and Metabolism (6 papers), Regulation of Appetite and Obesity (6 papers) and Myasthenia Gravis and Thymoma (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Endocrine and Autonomic Systems (231 citations), Epidemiology (522 citations), Physiology (397 citations) and Aging (25 citations). Genzo Iguchi has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yutaka Takahashi, Hidenori Fukuoka, Hitoshi Nishizawa, Michiko Takahashi, Yasuhiko Okimura, Kentaro Suda, Hironori Bando, Hidesuke Kaji, Kazuo Chihara and Masaaki Yamamoto. Their work appears in journals such as Pituitary, Biochemical and Biophysical Research Communications, Frontiers in Endocrinology, European Journal of Endocrinology and Growth Hormone & IGF Research.

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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