Jun Udagawa

67 papers receiving 1.6k citations

Peers

Jun Udagawa
Comparison fields: 5 of 115
  • Endocrine and Autonomic Systems 250
  • Developmental Neuroscience 67
  • Immunology 239
  • Nutrition and Dietetics 169
  • Pediatrics, Perinatology and Child Health 155
Replace Michael G. Blennerhassett with:
Michael G. Blennerhassett Canada
Cheryl L. Ackert‐Bicknell United States
Premeela A. Rajakumar United States
Lucy Brooks United Kingdom
Beverley A. Moore United States
Valeriya Gaysinskaya United States
Guck T. Ooi United States
Ken‐ichi Yagami Japan
Andrzej Stanisz Canada
Jin Kumagai Japan
Jun Udagawa relative to Michael G. Blennerhassett Canada Michael G. Blennerhassett's profile →
Citations per field
00.5×4.2×
Michael G. Blennerhassett · 1×
Citations per year

Countries citing papers authored by Jun Udagawa

Since Specialization
Citations

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

Fields of papers citing papers by Jun Udagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Udagawa, 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 Jun Udagawa Line = papers co-authored together Jun Udagawa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003302
2 200594
3 201068
4 200763
5 200059
6 200054
7 201653
8 200252
9 200450
10 200648
11 200442
12 201541
13 200340
14 200635
15
Leptin affects oligodendroglial development in the mouse embryonic cerebral cortex.
200734
16 200531
17 200629
18 202227
19 200524
20 201420

About Jun Udagawa

Jun Udagawa is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Surgery, Endocrine and Autonomic Systems and Nutrition and Dietetics, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Birth, Development, and Health (13 papers), Regulation of Appetite and Obesity (12 papers), Biochemical Analysis and Sensing Techniques (7 papers), Pancreatic function and diabetes (6 papers), Prenatal Screening and Diagnostics (5 papers), Adipose Tissue and Metabolism (4 papers), Diet and metabolism studies (4 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (250 citations), Developmental Neuroscience (67 citations), Immunology (239 citations), Nutrition and Dietetics (169 citations) and Pediatrics, Perinatology and Child Health (155 citations). Jun Udagawa has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Hiroki Otani, Toshihisa Hatta, Ryuju Hashimoto, Yoshikazu Kinoshita, Shunji Ishihara, Yasunori Kadowaki, Hideaki Kazumori, Kousaku Kawashima, M. A. Karim Rumi and Cesar F. Ortega-Cava. Their work appears in journals such as Neuroreport, Anatomical Science International, Brain Research, The Anatomical Record and Archives of Oral Biology.

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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