Hidetoh Toki

10 papers receiving 484 citations

Peers

Hidetoh Toki
Comparison fields: 5 of 54
  • Biological Psychiatry 367
  • Behavioral Neuroscience 89
  • Pharmacology 389
  • Cellular and Molecular Neuroscience 183
  • Anesthesiology and Pain Medicine 19
Replace Swarajya Lakshmi Vattem Venkata with:
Swarajya Lakshmi Vattem Venkata United States
Rejish K. Thomas Canada
June Watzl United States
Holly C. Hunsberger United States
Christian Webhofer Germany
Anne B. Need United States
Thangaraj Devadoss India
Avraham Rosenberg United States
Bryan Baker United States
Gábor Imre Hungary
Hidetoh Toki relative to Swarajya Lakshmi Vattem Venkata United States Swarajya Lakshmi Vattem Venkata's profile →
Citations per field
00.5×1.5×1.9×
Swarajya Lakshmi Vattem Venkata · 1×
Citations per year

Countries citing papers authored by Hidetoh Toki

Since Specialization
Citations

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

Fields of papers citing papers by Hidetoh Toki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2017200
2 201897
3 201881
4 201739
5 201827
6 201824
7 202216
8 20225
9 20244
10
[Serum monitoring of methotrexate (MTX) and 7-hydroxymethotrexate concentrations in patients treated with MTX using high-pressure liquid chromatography (HPLC) and comparison of serum MTX levels between HPLC method and fluorescence polarization immunoassay (FPIA)].
19911
11 20230

About Hidetoh Toki

Hidetoh Toki is a scholar working on Pharmacology, Biological Psychiatry, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 11 papers that have together received 494 indexed citations. Recurring topics across this work include Tryptophan and brain disorders (7 papers), Treatment of Major Depression (7 papers), Neuroscience and Neuropharmacology Research (2 papers), Stress Responses and Cortisol (2 papers), Mast cells and histamine (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Biological Psychiatry (367 citations), Behavioral Neuroscience (89 citations), Pharmacology (389 citations), Cellular and Molecular Neuroscience (183 citations) and Anesthesiology and Pain Medicine (19 citations). Hidetoh Toki has collaborated with scholars based in Japan, India and China. Frequent co-authors include Junichi Yamaguchi, Kenji Hashimoto, Shigeyuki Chaki, Kenichi Fukumoto, Michihiko Iijima, Takashi Hashihayata, Youge Qu, Chun Yang, Hiroyuki Koike and Takuya Ichikawa. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, European Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics, Biological Psychiatry and Journal of Medicinal Chemistry.

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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