Noriyuki Takeda

3.8k citations
77 papers · 3.0k indexed · 2 hit papers · h-index 24
Topics
Metabolism, Diabetes, and Cancer (8 papers)Phytoestrogen effects and research (6 papers)Nutritional Studies and Diet (6 papers)
Partner nations
JapanUnited StatesPoland

In The Last Decade

Noriyuki Takeda

76 papers receiving 2.9k citations

Hit Papers

The Metabolic Syndrome as a Predictor of Nonalcoholic Fat...200520262012201920052007250500750

Peers

Noriyuki Takeda
Comparison fields: 5 of 119
  • Epidemiology 1.6k
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Pathology and Forensic Medicine 579
  • Hepatology 521
  • Molecular Biology 382
Replace Maria Gisella Cavallo with:
Maria Gisella Cavallo Italy
Michèle Cioffi Italy
Yongde Peng China
Neşe İmeryüz Türkiye
Huijie Zhang China
C. Surrenti Italy
S. Raptis Greece
Rodrig Marculescu Austria
Rachel M. Fisher Sweden
Afia Naaz United States
Noriyuki Takeda relative to Maria Gisella Cavallo Italy Maria Gisella Cavallo's profile →
Citations per field
00.5×1.5×2.4×
Maria Gisella Cavallo · 1×
Citations per year

Countries citing papers authored by Noriyuki Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Noriyuki Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriyuki Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Noriyuki Takeda. A scholar is included among the top collaborators of Noriyuki Takeda 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 Noriyuki Takeda. Noriyuki Takeda 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 3
2 30
3 19
4 27
5 12
6 40
7 11
8 68
9 15
10 46
11 24
12 9
13 22
14 61
15 23
16 79
17 1
18
RESPONSES OF FMRF AMIDE IMMUNOREACTIVE CELLS TO PHYSIOLOGICALLY ACTIVE SUBSTANCES : Endocrinology
2
19 4
20 2

About Noriyuki Takeda

Noriyuki Takeda is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Pathology and Forensic Medicine, having authored 77 papers that have together received 3.0k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (8 papers), Phytoestrogen effects and research (6 papers) and Nutritional Studies and Diet (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Hepatology (521 citations) and Epidemiology (1.6k citations). Noriyuki Takeda has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Masahide Hamaguchi, Keigo Yasuda, Takahiro Kato, Takao Kojima, Kota Fujii, Junichi Okuda, Tomoaki Nakajima, Kazunori Ida, Makoto Hayashi and Hiroshi Sarui. Their work appears in journals such as Annals of Internal Medicine, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

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