Masataka Harada

38 papers receiving 2.2k citations

Hit Papers

A G Protein-coupled Receptor Responsive to Bile Acids 2003 · 1.3k citations
1.3k0+7+15Years since publication4008001.2k

Peers

Masataka Harada
Comparison fields: 5 of 134
  • Oncology 842
  • Hepatology 134
  • Reproductive Medicine 138
  • Endocrinology, Diabetes and Metabolism 248
  • Biological Psychiatry 34
Replace Yingying Li with:
Yingying Li China
Lionel D. Lewis United States
Angela Brooks‐Wilson Canada
David Masson France
David M. Vigushin United Kingdom
Bruce F. Kimler United States
Akinobu Hamada Japan
Harold A. Harvey United States
Guido J.R. Zaman Netherlands
Manuel González-Barón Spain
Masataka Harada relative to Yingying Li China Yingying Li's profile →
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Citations per year

Countries citing papers authored by Masataka Harada

Since Specialization
Citations

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

Fields of papers citing papers by Masataka Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A G Protein-coupled Receptor Responsive to Bile Acids
Hit paper breakdown →
20031255
2 2002140
3 2004137
4 1998106
5 2004102
6 201175
7 201655
8 201655
9 200332
10 201032
11 201130
12 200326
13 199424
14 200219
15 201017
16 199315
17 201114
18 200614
19 201111
20 202210

About Masataka Harada

Masataka Harada is a scholar working on Molecular Biology, Epidemiology, Surgery, Economics and Econometrics and Oncology, having authored 45 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (5 papers), Shoulder and Clavicle Injuries (4 papers), Neuropeptides and Animal Physiology (4 papers), Electoral Systems and Political Participation (4 papers), Receptor Mechanisms and Signaling (3 papers), Bone Tumor Diagnosis and Treatments (3 papers), Protein Structure and Dynamics (2 papers) and Shoulder Injury and Treatment (2 papers). The work is most often cited by research in Oncology (842 citations), Hepatology (134 citations), Reproductive Medicine (138 citations), Endocrinology, Diabetes and Metabolism (248 citations) and Biological Psychiatry (34 citations). Masataka Harada has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Masahiko Fujino, Masaki Hosoya, Shuji Hinuma, Ryo Fujii, Yugo Habata, Shoji Fukusumi, Yukio Fujisawa, Hiromi Yoshida, Takashi Itoh and Yasushi Shintani. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Journal of Chemical Information and Modeling and Political Behavior.

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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