Nobuhiro Harada

293 papers receiving 11.5k citations

Nobuhiro Harada's Hit Papers

Adult male rat hippocampus synthesizes estradiol from pregnenolone by cytochromes P45017α and P450 aromatase localized in neurons 2003 · 560 citations
5600+7+15Years since publication100200300400500

Peers

Nobuhiro Harada
Comparison fields: 5 of 154
  • Reproductive Medicine 2.5k
  • Behavioral Neuroscience 1.0k
  • Developmental Biology 456
  • Genetics 5.3k
  • Endocrinology, Diabetes and Metabolism 2.2k
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Citations per year

Countries citing papers authored by Nobuhiro Harada

Since Specialization
Citations

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

Fields of papers citing papers by Nobuhiro Harada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 310 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Adult male rat hippocampus synthesizes estradiol from pregnenolone by cytochromes P45017α and P450 aromatase localized in neurons
Hit paper breakdown →
2003560
2 2005316
3 2009309
4 1998248
5 2001224
6 1997211
7 2005197
8 1998186
9 2010179
10 2002175
11 1990170
12 1999157
13 1990155
14 1988149
15 1996147
16 1988147
17 2000138
18 1995132
19 2009129
20
Steroid sulfatase expression is an independent predictor of recurrence in human breast cancer.
1999128

About Nobuhiro Harada

Nobuhiro Harada is a scholar working on Genetics, Molecular Biology, Aerospace Engineering, Reproductive Medicine and Endocrinology, Diabetes and Metabolism, having authored 310 papers that have together received 11.7k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (101 papers), Hypothalamic control of reproductive hormones (43 papers), Plasma and Flow Control in Aerodynamics (39 papers), Neuroendocrine regulation and behavior (28 papers), Magnetic confinement fusion research (19 papers), Plasma Diagnostics and Applications (19 papers), Animal Behavior and Reproduction (17 papers) and Pharmacogenetics and Drug Metabolism (17 papers). The work is most often cited by research in Reproductive Medicine (2.5k citations), Behavioral Neuroscience (1.0k citations), Developmental Biology (456 citations), Genetics (5.3k citations) and Endocrinology, Diabetes and Metabolism (2.2k citations). Nobuhiro Harada has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Shin‐ichiro Honda, Jacques Balthazart, Hironobu Sasano, Agnès Foidart, Yasuyuki Takagi, Tsuneo Omura, A. Foidart, Chantal Surlemont, Julie Bakker and Noriko Yoshimura. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, The Journal of Clinical Endocrinology & Metabolism, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Brain 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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