Morihiko Hirota

1.8k total citations
42 papers, 1.3k citations indexed

About

Morihiko Hirota is a scholar working on Dermatology, Small Animals and Plant Science. According to data from OpenAlex, Morihiko Hirota has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Dermatology, 23 papers in Small Animals and 11 papers in Plant Science. Recurrent topics in Morihiko Hirota's work include Animal testing and alternatives (23 papers), Contact Dermatitis and Allergies (23 papers) and Pesticide Exposure and Toxicity (11 papers). Morihiko Hirota is often cited by papers focused on Animal testing and alternatives (23 papers), Contact Dermatitis and Allergies (23 papers) and Pesticide Exposure and Toxicity (11 papers). Morihiko Hirota collaborates with scholars based in Japan, United Kingdom and United States. Morihiko Hirota's co-authors include Takao Ashikaga, Hiroshi Itagaki, Masaaki Miyazawa, Setsuya Aiba, Yuichi Ito, H. Sakaguchi, Kelly Aparecida Geraldo Yoneyama, Yukiko Yoshida, Hiroyuki Suzuki and Hirokazu Kouzuki and has published in prestigious journals such as Journal of Dairy Science, Journal of Investigative Dermatology and Toxicology and Applied Pharmacology.

In The Last Decade

Morihiko Hirota

39 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Morihiko Hirota Japan 18 885 427 263 248 180 42 1.3k
Hitoshi Sakaguchi Japan 23 1.1k 1.3× 710 1.7× 390 1.5× 321 1.3× 279 1.6× 56 1.7k
Silvia Casati Italy 21 581 0.7× 543 1.3× 203 0.8× 153 0.6× 196 1.1× 48 1.3k
Frank Gerberick United States 15 1.0k 1.2× 601 1.4× 326 1.2× 256 1.0× 184 1.0× 21 1.4k
Takao Ashikaga Japan 21 1.5k 1.7× 719 1.7× 482 1.8× 437 1.8× 289 1.6× 42 2.0k
Leslie M. Foertsch United States 10 683 0.8× 250 0.6× 296 1.1× 184 0.7× 100 0.6× 11 934
Andreas Schepky Germany 18 503 0.6× 286 0.7× 107 0.4× 91 0.4× 72 0.4× 43 941
Yuko Nukada Japan 13 403 0.5× 175 0.4× 142 0.5× 131 0.5× 135 0.8× 30 668
Jean‐Pierre Lepoittevin France 20 797 0.9× 131 0.3× 281 1.1× 270 1.1× 91 0.5× 45 1.1k
David Basketter United Kingdom 15 398 0.4× 280 0.7× 109 0.4× 88 0.4× 79 0.4× 28 733
Pascal Courtellemont France 14 312 0.4× 120 0.3× 75 0.3× 100 0.4× 249 1.4× 22 722

Countries citing papers authored by Morihiko Hirota

Since Specialization
Citations

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

Fields of papers citing papers by Morihiko Hirota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morihiko Hirota

This figure shows the co-authorship network connecting the top 25 collaborators of Morihiko Hirota. A scholar is included among the top collaborators of Morihiko Hirota based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Morihiko Hirota. Morihiko Hirota is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Imai, Kosuke, et al.. (2025). An R-based predictive model for skin-sensitizing potential of substances with known structures. Computational Toxicology. 34. 100350–100350. 1 indexed citations
3.
Ohtake, Hiroto, Morihiko Hirota, Kohei Yamada, et al.. (2022). Reactive oxygen species (ROS) assay-based photosafety screening for complex ingredients: Modification of the ROS assay protocol. The Journal of Toxicological Sciences. 47(11). 483–492. 2 indexed citations
4.
Kojima, Hajime, Tokio Nakada, Akiko Yagami, et al.. (2022). A step-by-step approach for assessing acute oral toxicity without animal testing for additives of quasi-drugs and cosmetic ingredients. Current Research in Toxicology. 4. 100100–100100. 8 indexed citations
5.
Kojima, Hajime, Tokio Nakada, Akiko Yagami, et al.. (2021). A Step-by-Step Approach for Assessing Human Skin Irritation Without Animal Testing for Quasi-Drugs and Cosmetic Products. 7(3). 144–154. 1 indexed citations
6.
Sekine, Shuichi, et al.. (2020). Mechanism-based integrated assay systems for the prediction of drug-induced liver injury. Toxicology and Applied Pharmacology. 394. 114958–114958. 11 indexed citations
7.
Gilmour, N., Petra Kern, Nathalie Alépée, et al.. (2020). Development of a next generation risk assessment framework for the evaluation of skin sensitisation of cosmetic ingredients. Regulatory Toxicology and Pharmacology. 116. 104721–104721. 64 indexed citations
8.
Onoue, Satomi, Hiroto Ohtake, Yoshiki Seto, et al.. (2016). Comparative study on prediction performance of photosafety testing tools on photoallergens. Toxicology in Vitro. 33. 147–152. 7 indexed citations
9.
Onoue, Satomi, Yoshiki Seto, Hideyuki Sato, et al.. (2016). Chemical photoallergy: photobiochemical mechanisms, classification, and risk assessments. Journal of Dermatological Science. 85(1). 4–11. 31 indexed citations
10.
Hirota, Morihiko, et al.. (2015). Effects of emulsifying components in the continuous phase of cream on the stability of fat globules and the physical properties of whipped cream. Journal of Dairy Science. 98(5). 2875–2883. 15 indexed citations
11.
Hirota, Morihiko, et al.. (2014). Skin sensitization risk assessment model using artificial neural network analysis of data from multiple in vitro assays. Toxicology in Vitro. 28(4). 626–639. 41 indexed citations
12.
Nukada, Yuko, Takao Ashikaga, Hitoshi Sakaguchi, et al.. (2011). Predictive performance for human skin sensitizing potential of the human cell line activation test (h-CLAT). Contact Dermatitis. 65(6). 343–353. 40 indexed citations
13.
Sasaki, Yoshinori, Morihiko Hirota, Masato Mizuashi, et al.. (2009). Oxidation of Cell Surface Thiol Groups by Contact Sensitizers Triggers the Maturation of Dendritic Cells. Journal of Investigative Dermatology. 130(1). 175–183. 30 indexed citations
14.
Suzuki, Mie, et al.. (2009). Evaluation of changes of cell-surface thiols as a new biomarker for in vitro sensitization test. Toxicology in Vitro. 23(4). 687–696. 31 indexed citations
15.
Hirota, Morihiko, et al.. (2006). QUANTITATIVE MEASUREMENT OF SPLICED XBP1 mRNA AS AN INDICATOR OF ENDOPLASMIC RETICULUM STRESS. The Journal of Toxicological Sciences. 31(2). 149–156. 93 indexed citations
16.
Ashikaga, Takao, Yukiko Yoshida, Morihiko Hirota, et al.. (2005). Development of an in vitro skin sensitization test using human cell lines: The human Cell Line Activation Test (h-CLAT). Toxicology in Vitro. 20(5). 767–773. 273 indexed citations
17.
Hirota, Morihiko & Osamu Moro. (2005). MIP-1β, a novel biomarker for in vitro sensitization test using human monocytic cell line. Toxicology in Vitro. 20(5). 736–742. 31 indexed citations
18.
Sakaguchi, H., Takao Ashikaga, Masaaki Miyazawa, et al.. (2005). Development of an in vitro skin sensitization test using human cell lines; human Cell Line Activation Test (h-CLAT) II. An inter-laboratory study of the h-CLAT. Toxicology in Vitro. 20(5). 774–784. 182 indexed citations
19.
Sugiyama, Mariko, et al.. (2002). A Strategic Approach for Predicting Phototoxicity of Cosmetic Ingredients. 9(1). 29–39.
20.
Shima, Kenji, Chizuko Ohboshi, Masahito Sato, & Morihiko Hirota. (1988). Effect of Glucagon on Secretion of Glucagon-Like Peptide 1. Hormone and Metabolic Research. 20(2). 123–124. 2 indexed citations

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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