Junichi Chihara

3.0k total citations
158 papers, 2.4k citations indexed

About

Junichi Chihara is a scholar working on Physiology, Immunology and Rheumatology. According to data from OpenAlex, Junichi Chihara has authored 158 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Physiology, 47 papers in Immunology and 45 papers in Rheumatology. Recurrent topics in Junichi Chihara's work include Asthma and respiratory diseases (82 papers), Eosinophilic Disorders and Syndromes (37 papers) and Allergic Rhinitis and Sensitization (23 papers). Junichi Chihara is often cited by papers focused on Asthma and respiratory diseases (82 papers), Eosinophilic Disorders and Syndromes (37 papers) and Allergic Rhinitis and Sensitization (23 papers). Junichi Chihara collaborates with scholars based in Japan, France and United States. Junichi Chihara's co-authors include Hiroyuki Kayaba, Shigeharu Ueki, Wataru Ito, Masahide Takeda, Norihiro Saito, Takahito Chiba, Hajime Oyamada, Tetsuya Adachi, Yoshiki Kobayashi and Shigenori Nakajima and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Junichi Chihara

157 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junichi Chihara Japan 27 1.2k 813 469 431 412 158 2.4k
Akira Kanda Japan 23 845 0.7× 550 0.7× 546 1.2× 444 1.0× 355 0.9× 100 2.4k
Peisong Gao United States 34 1.1k 1.0× 1.1k 1.3× 888 1.9× 1.2k 2.7× 444 1.1× 83 4.1k
Robert P. Schleimer United States 27 1.4k 1.2× 1.3k 1.6× 326 0.7× 628 1.5× 429 1.0× 49 2.7k
Sergejs Berdnikovs United States 25 833 0.7× 718 0.9× 394 0.8× 422 1.0× 421 1.0× 59 2.3k
David J. Cousins United Kingdom 26 1.6k 1.3× 1.5k 1.9× 429 0.9× 720 1.7× 421 1.0× 59 3.0k
Sun‐Sang J. Sung United States 33 561 0.5× 2.3k 2.8× 873 1.9× 440 1.0× 240 0.6× 87 4.0k
Daniel P. Potaczek Germany 27 861 0.7× 629 0.8× 654 1.4× 386 0.9× 379 0.9× 91 2.2k
Hiroyuki Kayaba Japan 23 765 0.7× 553 0.7× 352 0.8× 183 0.4× 238 0.6× 111 1.6k
David M. Essayan United States 23 740 0.6× 861 1.1× 829 1.8× 248 0.6× 256 0.6× 41 2.2k
Nobuaki Miyahara Japan 32 1.7k 1.4× 1.5k 1.8× 350 0.7× 565 1.3× 933 2.3× 116 3.2k

Countries citing papers authored by Junichi Chihara

Since Specialization
Citations

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

Fields of papers citing papers by Junichi Chihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junichi Chihara

This figure shows the co-authorship network connecting the top 25 collaborators of Junichi Chihara. A scholar is included among the top collaborators of Junichi Chihara 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 Junichi Chihara. Junichi Chihara 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.
Ueki, Shigeharu, Mineyo Fukuchi, Yasunori Konno, et al.. (2018). ICAM-1 upregulation is not required for retinoic acid-induced human eosinophil survival. Immunology Letters. 196. 68–73. 4 indexed citations
2.
Takeda, Masahide, Masako Tanabe, Wataru Ito, et al.. (2013). Gender difference in allergic airway remodelling and immunoglobulin production in mouse model of asthma. Respirology. 18(5). 797–806. 90 indexed citations
3.
Ito, Wataru, et al.. (2010). Effect of the Hepatocyte Growth Factor on Allergic Inflammatory Cells. International Archives of Allergy and Immunology. 152(Suppl. 1). 96–100. 6 indexed citations
4.
Ueki, Shigeharu, Hajime Oyamada, Masako Tanabe, et al.. (2008). Retinoic Acids Are Potent Inhibitors of Spontaneous Human Eosinophil Apoptosis. The Journal of Immunology. 181(11). 7689–7698. 42 indexed citations
5.
Ito, Wataru, Masahide Takeda, Masako Tanabe, et al.. (2008). Anti-Allergic Inflammatory Effects of Hepatocyte Growth Factor. International Archives of Allergy and Immunology. 146(Suppl. 1). 82–87. 13 indexed citations
6.
Sanai, Toru, Seiya Okuda, Takahiro Yoshimitsu, et al.. (2007). Nodular glomerulosclerosis in patients without any manifestation of diabetes mellitus. Nephrology. 12(1). 69–73. 11 indexed citations
7.
Ueki, Shigeharu, Wataru Ito, Yoshiki Kobayashi, et al.. (2006). Theophylline and Dexamethasone Induce Peroxisome Proliferator-Activated Receptor-γ Expression in Human Eosinophils. Pharmacology. 77(1). 33–37. 13 indexed citations
8.
Adachi, Tetsuya, et al.. (2006). The Role of Platelet-Derived Growth Factor Receptor in Eotaxin Signaling of Eosinophils. International Archives of Allergy and Immunology. 140(Suppl. 1). 28–34. 8 indexed citations
9.
Kobayashi, Yoshiki, Shigeharu Ueki, Takahito Chiba, et al.. (2005). Physiological Levels of 15-Deoxy-Δ12,14-Prostaglandin J2 Prime Eotaxin-Induced Chemotaxis on Human Eosinophils through Peroxisome Proliferator-Activated Receptor-γ Ligation. The Journal of Immunology. 175(9). 5744–5750. 53 indexed citations
10.
Matsuwaki, Yoshinori, Shigeharu Ueki, Tetsuya Adachi, et al.. (2005). The Synthetic PPARγ Agonist Troglitazone Inhibits IL-5-Induced CD69 Upregulation and Eosinophil-Derived Neurotoxin Release from Eosinophils. Pharmacology. 74(4). 169–173. 17 indexed citations
11.
Adachi, Tetsuya, Randi Vita, Susan Stafford, et al.. (2001). The Functional Role of Rho and Rho-Associated Coiled-Coil Forming Protein Kinase in Eotaxin Signaling of Eosinophils. The Journal of Immunology. 167(8). 4609–4615. 56 indexed citations
12.
Tsuda, Akira, Hiroyuki Kayaba, Osamu Urayama, et al.. (2001). Direct flowcytometric analysis of eosinophils using a whole blood staining technique. Allergology International. 50(4). 319–324. 1 indexed citations
13.
Kurosawa, Motohiro, Hiroaki Inamura, Yutaka Mizushima, et al.. (2000). Development of a Novel Enzyme-Linked Immunosorbent Assay for Blood and Urinary Eosinophil-Derived Neurotoxin: A Preliminary Study in Patients with Bronchial Asthma. International Archives of Allergy and Immunology. 122(1). 49–57. 21 indexed citations
14.
Chihara, Junichi, Takahiro Yamamoto, Hidekazu Yamada, et al.. (1995). A comparative study of eosinophil isolation by different procedures of CD 16‐negative depletion. Allergy. 50(1). 11–14. 43 indexed citations
15.
Higashimoto, Ikkou, Junichi Chihara, Mitsuhiro Osame, & Shigenori Nakajima. (1995). [Adhesion to fibronectin regulates expression of adhesion molecules on eosinophils].. PubMed. 44(6). 618–23. 2 indexed citations
17.
Higashimoto, Ikkou, et al.. (1995). Adhesion to Fibronectin Augments Eosinophil Radical Oxygen Products. International Archives of Allergy and Immunology. 108(1). 48–49. 6 indexed citations
18.
Chihara, Junichi, et al.. (1995). Possible low response of C-reactive protein production in eosinophilic pneumonia.. PubMed. 47(1). 33–9. 3 indexed citations
20.
Chihara, Junichi, et al.. (1992). Allergic inflammatory Cells in Relation to Stress.. 心身医学. 32(1). 45–51. 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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