Mitsuhiro Wada

3.2k citations
160 papers · 2.6k indexed · h-index 26

Mitsuhiro Wada

154 papers receiving 2.6k citations

Peers

Mitsuhiro Wada
Comparison fields: 5 of 149
  • Toxicology 236
  • Health, Toxicology and Mutagenesis 617
  • Analytical Chemistry 366
  • Spectroscopy 526
  • Bioengineering 105
Replace Naotaka Kuroda with:
Naotaka Kuroda Japan
Lingling Yang China
Koichi Saito Japan
Elsa Lundanes Norway
Wojciech Piekoszewski Poland
Paola Manini Italy
Ho‐Sang Shin South Korea
Keita Saito Japan
Kenichiro Nakashima Japan
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Mitsuhiro Wada relative to Naotaka Kuroda Japan Naotaka Kuroda's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mitsuhiro Wada

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuhiro Wada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20223
4 20185
5 20156
6 201114
7
Current HPLC Methods for Determination of Medicaments in Formulations and Biological Samples
20103
8
20100
9 201012
10 200923
11 200710
12
Determinants of plasma homocysteine levels and carotid intima-media thickness in Japanese.
20078
13 20060
14 200633
15 2004219
16
Thin Film Formation of Gallium Nitride Using Plasma-Sputter Deposition Technique
20032
17 200211
18 199713
19 199625
20
Amplification Characteristics of Waveguide Type Optical Amplifier Using Nd Doped Garnet Thin Film
19940

About Mitsuhiro Wada

Mitsuhiro Wada is a scholar working on Toxicology, Spectroscopy and Analytical Chemistry, having authored 160 papers that have together received 2.6k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (26 papers), Forensic Toxicology and Drug Analysis (16 papers), Toxic Organic Pollutants Impact (13 papers), Analytical Methods in Pharmaceuticals (13 papers), Neurotransmitter Receptor Influence on Behavior (12 papers), Electrochemical sensors and biosensors (10 papers), Psychedelics and Drug Studies (10 papers) and Magnetic properties of thin films (9 papers). The work is most often cited by research in Toxicology (236 citations), Health, Toxicology and Mutagenesis (617 citations) and Analytical Chemistry (366 citations). Mitsuhiro Wada has collaborated with scholars based in Japan, Egypt and United States. Frequent co-authors include Kenichiro Nakashima, Naotaka Kuroda, Naoya Kishikawa, Rie Ikeda, Yen Sun, Mihoko N. Nakashima, Yoshihito Ohba, Miki Irie, Kaname Ohyama and Hiroyuki Nakazawa. Their work appears in journals such as Biomedical Chromatography, Journal of Chromatography A, Analytical and Bioanalytical Chemistry, Journal of Alloys and Compounds and Forensic Toxicology.

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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