Hidetaka Nishida

2.7k total citations
119 papers, 2.0k citations indexed

About

Hidetaka Nishida is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Hidetaka Nishida has authored 119 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Genetics, 24 papers in Pulmonary and Respiratory Medicine and 23 papers in Surgery. Recurrent topics in Hidetaka Nishida's work include Veterinary Oncology Research (18 papers), Advances in Cucurbitaceae Research (13 papers) and Veterinary Orthopedics and Neurology (11 papers). Hidetaka Nishida is often cited by papers focused on Veterinary Oncology Research (18 papers), Advances in Cucurbitaceae Research (13 papers) and Veterinary Orthopedics and Neurology (11 papers). Hidetaka Nishida collaborates with scholars based in Japan, United States and China. Hidetaka Nishida's co-authors include Darwin J. Prockop, Ashok K. Shetty, Kenji Kato, Su Yeon An, Thomas J. Bartosh, Hiromo Inoue, Takatoshi Tanisaka, Yutaka Okumoto, Yukari Akashi and Masayoshi Teraishi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Hidetaka Nishida

111 papers receiving 1.9k citations

Peers

Hidetaka Nishida

GENET

SURGE

GENET

F. Crémonesi Italy

Duncan M. Baird United Kingdom

Ana Liz Garcia Alves Brazil

Dimitri Pirottin Belgium

Laurens Wilming United Kingdom

Sabine Kloth Germany

Gyu‐Jin Rho South Korea

U. W. Schnyder Switzerland

Michael J. Strong United States

F. Crémonesi Italy

Hidetaka Nishida

141 ×0.2

625 ×0.9

206 ×0.4

GENET

718 ×3.0

SURGE

685 ×2.9

GENET

Citations per year, relative to Hidetaka Nishida Hidetaka Nishida (= 1×) peers F. Crémonesi

Countries citing papers authored by Hidetaka Nishida

Since Specialization

Citations

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

Fields of papers citing papers by Hidetaka Nishida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidetaka Nishida

This figure shows the co-authorship network connecting the top 25 collaborators of Hidetaka Nishida. A scholar is included among the top collaborators of Hidetaka Nishida 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 Hidetaka Nishida. Hidetaka Nishida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shimomura, Koichiro, Yuki Monden, Hidetaka Nishida, et al.. (2024). Genetic characterization of cucumber genetic resources in the NARO Genebank indicates their multiple dispersal trajectories to the East. Theoretical and Applied Genetics. 137(7). 174–174. 1 indexed citations

Deguchi, Tatsuya, Masahiro Tamura, Hiroshi Ohta, et al.. (2023). Influence of the Hypoxia-Activated Prodrug Evofosfamide (TH-302) on Glycolytic Metabolism of Canine Glioma: A Potential Improvement in Cancer Metabolism. Cancers. 15(23). 5537–5537. 5 indexed citations

Tanaka, Toshiyuki, et al.. (2022). Hypoxia‐targeting therapy for intestinal T‐cell lymphoma in dogs: Preclinical study using 3D in vitro models. Veterinary and Comparative Oncology. 21(1). 12–19. 2 indexed citations

Tanaka, Toshiyuki, Shunsuke Noguchi, Yusuke Wada, Hidetaka Nishida, & Hideo Akiyoshi. (2022). Computed tomography findings in canine cholangiocellular carcinoma. Veterinary Record Case Reports. 10(2). 2 indexed citations

Tanaka, Toshiyuki, Yusuke Wada, Shunsuke Noguchi, Hidetaka Nishida, & Hideo Akiyoshi. (2022). Contrast‐enhanced CT features of pyloric lesions in 17 dogs: Case series. Veterinary Radiology & Ultrasound. 64(2). 262–270. 2 indexed citations

Tanaka, Toshiyuki, et al.. (2022). Computed tomography and magnetic resonance imaging findings in dogs with vaginal leiomyoma and leiomyosarcoma. Veterinary Medicine and Science. 8(6). 2337–2344. 2 indexed citations

Nishida, Hidetaka, et al.. (2022). Controlled release of canine MSC-derived extracellular vesicles by cationized gelatin hydrogels. Regenerative Therapy. 22. 1–6. 7 indexed citations

Tanaka, Toshiyuki, et al.. (2022). CT findings of bleeding from a canine gall bladder carcinoid tumour. Veterinary Record Case Reports. 10(3). 1 indexed citations

Tanaka, Toshiyuki, Shunsuke Noguchi, Yusuke Wada, Hidetaka Nishida, & Hideo Akiyoshi. (2021). Preliminary study of CT features of intermediate- and high-grade alimentary lymphoma and adenocarcinoma in cats. Journal of Feline Medicine and Surgery. 24(10). 1065–1071. 3 indexed citations

10.

Tanaka, Toshiyuki, et al.. (2021). Comparing the CT and MRI findings for canine primary hepatocellular lesions. Veterinary Record. 190(11). e1083–e1083. 1 indexed citations

11.

Tanaka, Toshiyuki, et al.. (2021). Contrast-enhanced computed tomography characterization of canine rectal neoplasms. Jūigaku kenkyū/Japanese journal of veterinary research. 69(3). 163–173. 2 indexed citations

12.

Tanaka, Toshiyuki, et al.. (2020). Less enhancement and low apparent diffusion coefficient value on magnetic resonance imaging may be helpful to detect canine prostate adenocarcinoma in case series. Veterinary and Comparative Oncology. 18(4). 861–865. 3 indexed citations

13.

Tanaka, Toshiyuki, et al.. (2020). Assessment of hepatitis and fibrosis using Gd‐EOB‐DTPA MRI in dogs. Veterinary Record Open. 7(1). e000371–e000371. 1 indexed citations

14.

Tanaka, Toshiyuki, et al.. (2020). MRI findings, including diffusion-weighted imaging, in seven cats with nasal lymphoma and two cats with nasal adenocarcinoma. Journal of Feline Medicine and Surgery. 23(4). 393–399. 5 indexed citations

15.

Akiyama, Satoshi, Hiroshi Ohta, Toshihiro Tsukui, et al.. (2019). Th17 cells increase during maturation in peripheral blood of healthy dogs. Veterinary Immunology and Immunopathology. 209. 17–21. 4 indexed citations

16.

Tanaka, Toshiyuki, et al.. (2019). Contrast-enhanced computed tomography findings of canine primary renal tumors including renal cell carcinoma, lymphoma, and hemangiosarcoma. PLoS ONE. 14(11). e0225211–e0225211. 9 indexed citations

17.

Nishida, Hidetaka, et al.. (2018). Expression of ZO‐1 and claudin‐1 in a 3D epidermal equivalent using canine progenitor epidermal keratinocytes. Veterinary Dermatology. 29(4). 288–288. 6 indexed citations

18.

Nishida, Hidetaka, et al.. (2018). Phenotypic analysis of mice xenografted with canine epitheliotropic cutaneous T‐cell lymphoma cells. Veterinary Dermatology. 29(6). 517–517. 1 indexed citations

19.

Tanaka, Toshiyuki, et al.. (2018). MRI findings, including diffusion-weighted imaging and apparent diffusion coefficient value, in two cats with nasopharyngeal polyps and one cat with lymphoma. Journal of Feline Medicine and Surgery Open Reports. 4(2). 837480030–837480030. 5 indexed citations

20.

Nishida, Hidetaka, et al.. (2018). Expression of IL‐33 in chronic lesional skin of canine atopic dermatitis. Veterinary Dermatology. 29(3). 246–246. 15 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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