Yugo Habata

7.5k citations
31 papers · 5.9k indexed · 2 hit papers · h-index 23

Yugo Habata

30 papers receiving 5.8k citations

Hit Papers

A G Protein-coupled Receptor Responsive to Bile Acids1.3k19982026200720164008001.2k

Peers

Yugo Habata
Comparison fields: 5 of 100
  • Pharmacology 2.5k
  • Cellular and Molecular Neuroscience 2.5k
  • Endocrine and Autonomic Systems 720
  • Reproductive Medicine 802
  • Surgery 2.6k
Replace Shoji Fukusumi with:
Shoji Fukusumi Japan
Yuji Kawamata Japan
Masaki Hosoya Japan
Paul R. Murdock United Kingdom
R. Dimaline United Kingdom
Kazuhito Tsuboi Japan
Eric L. Gustafson United States
Pierre Carayon France
Eri Segi‐Nishida Japan
Yasuo Okamoto Japan
Yugo Habata relative to Shoji Fukusumi Japan Shoji Fukusumi's profile →
Citations per field
00.5×1.5×
Shoji Fukusumi · 1×
Citations per year

Countries citing papers authored by Yugo Habata

Since Specialization
Citations

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

Fields of papers citing papers by Yugo Habata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201524
2 201459
3 201378
4 2003147
5 2003142
6
A G Protein-coupled Receptor Responsive to Bile Acidsbreakdown →
20031255
7 2002128
8 2001151
9 2001454
10 200099
11 2000174
12 200016
13 199995
14 1999316
15 199966
16 1998458
17
Isolation and Characterization of a Novel Endogenous Peptide Ligand for the Human APJ Receptorbreakdown →
19981405
18 199397
19 19907
20 198819

About Yugo Habata

Yugo Habata is a scholar working on Cellular and Molecular Neuroscience, Reproductive Medicine and Endocrine and Autonomic Systems, having authored 31 papers that have together received 5.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (15 papers), Neuropeptides and Animal Physiology (15 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (7 papers), Hypothalamic control of reproductive hormones (7 papers), Apelin-related biomedical research (6 papers), Cellular Mechanics and Interactions (4 papers), Regulation of Appetite and Obesity (4 papers) and Neuroendocrine regulation and behavior (3 papers). The work is most often cited by research in Pharmacology (2.5k citations), Cellular and Molecular Neuroscience (2.5k citations) and Endocrine and Autonomic Systems (720 citations). Yugo Habata has collaborated with scholars based in Japan, Poland and United States. Frequent co-authors include Shuji Hinuma, Masaki Hosoya, Ryo Fujii, Yuji Kawamata, Shoji Fukusumi, Masahiko Fujino, Haruo Onda, Chieko Kitada, Tsutomu Kurokawa and Hiromi Yoshida.

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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