Yuichi Takahashi

1.6k total citations
94 papers, 1.2k citations indexed

About

Yuichi Takahashi is a scholar working on Immunology and Allergy, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Yuichi Takahashi has authored 94 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Immunology and Allergy, 18 papers in Ecology, Evolution, Behavior and Systematics and 16 papers in Molecular Biology. Recurrent topics in Yuichi Takahashi's work include Allergic Rhinitis and Sensitization (31 papers), Lichen and fungal ecology (15 papers) and Indoor Air Quality and Microbial Exposure (14 papers). Yuichi Takahashi is often cited by papers focused on Allergic Rhinitis and Sensitization (31 papers), Lichen and fungal ecology (15 papers) and Indoor Air Quality and Microbial Exposure (14 papers). Yuichi Takahashi collaborates with scholars based in Japan, United States and Sweden. Yuichi Takahashi's co-authors include Shigeto Kawashima, Masahiro Sakaguchi, Hiroshi Yasueda, Tadashi Kasahara, Jun‐Ichi Masuyama, Shogo Kano, Masafumi Takahashi, Kazuyuki Shimada, Uichi Ikeda and Seiichi Kitagawa and has published in prestigious journals such as Circulation, The Journal of Immunology and Circulation Research.

In The Last Decade

Yuichi Takahashi

86 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuichi Takahashi Japan 22 571 243 242 186 170 94 1.2k
Andreas Böck Germany 18 108 0.2× 69 0.3× 91 0.4× 386 2.1× 189 1.1× 37 1.2k
Cenk Suphioglu Australia 32 2.0k 3.6× 303 1.2× 700 2.9× 439 2.4× 135 0.8× 92 3.2k
Silvia Jiménez Colombia 21 377 0.7× 45 0.2× 41 0.2× 157 0.8× 99 0.6× 35 1.0k
Piotr Rapiejko Poland 13 352 0.6× 189 0.8× 119 0.5× 126 0.7× 17 0.1× 124 765
Petra M. Wise United States 24 279 0.5× 70 0.3× 81 0.3× 1.2k 6.6× 754 4.4× 41 3.0k
Kateřina Komrsková Czechia 26 79 0.1× 129 0.5× 72 0.3× 650 3.5× 185 1.1× 80 2.1k
Célia M. Antunes Portugal 15 194 0.3× 84 0.3× 102 0.4× 117 0.6× 9 0.1× 37 804
Sylvie Gosselin France 16 95 0.2× 69 0.3× 118 0.5× 146 0.8× 54 0.3× 41 1.1k
Kristin Schubert Germany 23 27 0.0× 118 0.5× 207 0.9× 633 3.4× 295 1.7× 67 1.7k
D. L. Pierson United States 25 50 0.1× 26 0.1× 225 0.9× 459 2.5× 108 0.6× 55 2.0k

Countries citing papers authored by Yuichi Takahashi

Since Specialization
Citations

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

Fields of papers citing papers by Yuichi Takahashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuichi Takahashi

This figure shows the co-authorship network connecting the top 25 collaborators of Yuichi Takahashi. A scholar is included among the top collaborators of Yuichi Takahashi 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 Yuichi Takahashi. Yuichi Takahashi 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.
Matsuzaki, Ibu, et al.. (2024). Small sized centroblasts as poor prognostic factor in follicular lymphoma - Based on artificial intelligence analysis. Computers in Biology and Medicine. 178. 108774–108774. 1 indexed citations
2.
3.
Fujita, Junichi, et al.. (2022). Problematic Internet use and daily difficulties among adolescents with school refusal behaviors. Medicine. 101(7). e28916–e28916. 11 indexed citations
4.
Matsuzaki, Ibu, et al.. (2022). Use of Artificial Intelligence for the Interpretable Prediction of the Pathologic Diagnosis and Molecular Abnormalities of Flat Urothelial Lesions. American Journal Of Pathology. 193(1). 39–50. 2 indexed citations
5.
Yamamoto, Norihisa, et al.. (2021). Legal and regulatory processes for Japan’s COVID-19 immunization program. Vaccine. 39(43). 6449–6450. 3 indexed citations
6.
Takahashi, Yuichi, et al.. (2019). Atomic diffusion bonding using oxide underlayers for optical applications. Japanese Journal of Applied Physics. 59(SB). SBBC03–SBBC03. 6 indexed citations
7.
Watanabe, Tetsushi, et al.. (2018). New Surge Counter for the ZnO Surge Arrester in Traction Power Supply Systems of High Speed Railway. IEEJ Transactions on Industry Applications. 138(2). 69–75. 1 indexed citations
8.
9.
Takahashi, Yuichi, Yoshihiro Masuda, & Hiroyuki Takeuchi. (2011). THE STUDY ON THE FACTOR INFLUENCING THE PROPERTIES OF RECYCLED AGGREGATE CONCRETE. Journal of Structural and Construction Engineering (Transactions of AIJ). 76(659). 9–14. 1 indexed citations
10.
Takahashi, Yuichi & Yoshihiro Masuda. (2010). EFFECT OF ADHERED MORTAR ON THE PROPERTIES OF RECYCLED AGGREGATE CONCRETE. Journal of Structural and Construction Engineering (Transactions of AIJ). 75(653). 1167–1172. 1 indexed citations
11.
Takahashi, Yuichi, et al.. (2007). Relationship between Airborne Cry j 1 and the Onset Time of the Symptoms of Japanese Cedar Pollinosis Patients. Allergology International. 56(3). 277–283. 13 indexed citations
12.
Kawashima, Shigeto, Kazuhito Matsuo, Mingyuan Du, et al.. (2004). An algorithm for estimating potential deposition of corn pollen for environmental assessment. PubMed. 3(4). 197–207. 14 indexed citations
13.
Ogami, Masayuki, et al.. (2000). Outbreak of human parvovirus B19 in hospital workers. Journal of Hospital Infection. 45(3). 238–241. 17 indexed citations
14.
Funayama, Hiroshi, Uichi Ikeda, Masafumi Takahashi, et al.. (1998). Human monocyte-endothelial cell interaction induces platelet-derived growth factor expression. Cardiovascular Research. 37(1). 216–224. 35 indexed citations
15.
Yli‐Panula, Eija, Yuichi Takahashi, & Auli Rantio‐Lehtimäki. (1997). Comparison of direct immunostaining and electroimmunoassay for analysis of airborne grass‐pollen antigens. Allergy. 52(5). 541–546. 10 indexed citations
16.
Izumi, Shinyu, Koichi Hirai, Misato Miyamasu, et al.. (1997). Expression and regulation of monocyte chemoattractant protein‐1 by human eosinophils. European Journal of Immunology. 27(4). 816–824. 52 indexed citations
17.
Sugimura, Kazuhisa, Shuhei Hashiguchi, Yuichi Takahashi, et al.. (1996). Th1/Th2 response profiles to the major allergens Cry j 1 and Cry j 2 of Japanese cedar pollen. Allergy. 51(10). 732–740. 25 indexed citations
18.
Takahashi, Yuichi, Takao Nagoya, Masafumi Watanabe, et al.. (1993). A new method of counting airborne Japanese cedar (Cryptomeria japonica) pollen allergens by immunoblotting. Allergy. 48(2). 94–98. 36 indexed citations
19.
Takahashi, Yuichi, Masahiro Sakaguchi, S Inouye, et al.. (1991). Existence of exine‐free airborne allergen particles of Japanese cedar (Cryptomeria japonica) pollen. Allergy. 46(8). 588–593. 38 indexed citations
20.
Takahashi, Yuichi, et al.. (1987). Seasonal variation of the hemagglutinating activities in the red alga Gracilaria verrucosa.. NIPPON SUISAN GAKKAISHI. 53(12). 2133–2137. 7 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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