Mitsuru Haniu

5.0k citations
88 papers · 4.1k · h-index 32

Impact in

Papers in

Mitsuru Haniu

86 papers receiving 3.9k citations

Peers

Mitsuru Haniu
Comparison fields: 5 of 123
  • Pharmacology 1.1k
  • Endocrinology, Diabetes and Metabolism 697
  • Biochemistry 313
  • Molecular Biology 2.1k
  • Clinical Biochemistry 184
Replace Yuzuru Ishimura with:
Yuzuru Ishimura Japan
Juris Ozols United States
Y Fujii-Kuriyama Japan
Charles B. Kasper United States
Raymond Novak United States
Robert Langdon United States
Philip Feigelson United States
Irina A. Pikuleva United States
Enrico Garattini Italy
Thomas G. Consler United States
Mitsuru Haniu relative to Yuzuru Ishimura Japan Yuzuru Ishimura's profile →
Citations per field
00.5×1.5×2.3×
Yuzuru Ishimura · 1×
Citations per year

Countries citing papers authored by Mitsuru Haniu

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuru Haniu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987373
2 1985270
3 2000224
4 2000193
5 1986178
6 1984176
7 2009169
8 1986154
9 1986139
10
Detection of intratumoral aromatase in breast carcinomas. An immunohistochemical study with clinicopathologic correlation.
1992138
11 197397
12 198696
13 198482
14 197781
15 198777
16 201069
17 198268
18 199860
19 197157
20 198956

About Mitsuru Haniu

Mitsuru Haniu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Pharmacology and Cell Biology, having authored 88 papers that have together received 4.1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (11 papers), Pharmacogenetics and Drug Metabolism (11 papers), Nerve injury and regeneration (10 papers), Photosynthetic Processes and Mechanisms (10 papers), Porphyrin Metabolism and Disorders (8 papers), Amino Acid Enzymes and Metabolism (7 papers), Enzyme Structure and Function (6 papers) and Hemoglobin structure and function (5 papers). The work is most often cited by research in Pharmacology (1.1k citations), Endocrinology, Diabetes and Metabolism (697 citations), Biochemistry (313 citations), Molecular Biology (2.1k citations) and Clinical Biochemistry (184 citations). Mitsuru Haniu has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include John E. Shively, Kerry T. Yasunobu, Peter F. Hall, Masaru Tanaka, Wayne Levin, Takashi Iyanagi, Dene E. Ryan, J Picado-Leonard, Michał Bieńkowski and W L Miller. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics and Protein Science.

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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