Junko Tashiro

571 total citations
9 papers, 468 citations indexed

About

Junko Tashiro is a scholar working on Immunology, Molecular Biology and Urology. According to data from OpenAlex, Junko Tashiro has authored 9 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Urology. Recurrent topics in Junko Tashiro's work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Hair Growth and Disorders (2 papers). Junko Tashiro is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers) and Hair Growth and Disorders (2 papers). Junko Tashiro collaborates with scholars based in Japan, Hungary and France. Junko Tashiro's co-authors include Kazuo Kinoshita, Tasuku Honjo, Masamichi Muramatsu, Tasuku Honjo, Masaya Ikegawa, Anne Durandy, Shigeaki Nonoyama, Nadia Catalan, Kohsuke Imai and Alain Fischer and has published in prestigious journals such as Immunity, Nature Immunology and European Journal of Biochemistry.

In The Last Decade

Junko Tashiro

9 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junko Tashiro Japan	7	341	189	125	38	33	9	468
Celia Keim United States	5	200 0.6×	227 1.2×	82 0.7×	22 0.6×	28 0.8×	6	408
Robert R. Getty United States	8	247 0.7×	165 0.9×	54 0.4×	55 1.4×	69 2.1×	8	442
Susan L. Kalis United States	8	317 0.9×	207 1.1×	59 0.5×	75 2.0×	30 0.9×	9	489
Susanne Fritzsche Germany	10	222 0.7×	170 0.9×	80 0.6×	38 1.0×	18 0.5×	11	440
Manxia Fan United States	9	280 0.8×	231 1.2×	71 0.6×	95 2.5×	36 1.1×	14	485
Laila Samady United Kingdom	7	152 0.4×	171 0.9×	157 1.3×	19 0.5×	69 2.1×	7	420
Günther Baravalle Austria	7	208 0.6×	119 0.6×	47 0.4×	32 0.8×	31 0.9×	8	377
Nikita Trivedi United States	6	371 1.1×	98 0.5×	45 0.4×	26 0.7×	44 1.3×	8	478
Allysia J. Matthews United States	5	253 0.7×	242 1.3×	51 0.4×	23 0.6×	24 0.7×	9	439
Laura George United Kingdom	5	321 0.9×	191 1.0×	28 0.2×	56 1.5×	31 0.9×	6	515

Countries citing papers authored by Junko Tashiro

Since Specialization

Citations

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

Fields of papers citing papers by Junko Tashiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junko Tashiro

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

All Works

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9 of 9 papers shown

1.

Takenaka, Hiroshi, Yukio Yoneda, Toshiyuki Goto, et al.. (2004). Differential Susceptibility of Cells Expressing Allogeneic MHC or Viral Antigen to Killing by Antigen‐Specific CTL. Microbiology and Immunology. 48(1). 15–25. 15 indexed citations

2.

Yoneda, Yukio, et al.. (2003). Cellular Origin of IFN- γ Essential for Hair Cycle in Normal Skin. Journal of Interferon & Cytokine Research. 23(6). 299–305. 5 indexed citations

3.

Tajima, Sadao, Yukio Yoneda, Masashi Okada, et al.. (2003). Induction of Hair Regrowth in the Alopecia Site of IFN-γ Knockout Mice by Allografting and IFN-γ Injection into the Transplantation Site. Journal of Interferon & Cytokine Research. 23(8). 433–439. 3 indexed citations

4.

Mori, Yoshiaki, Yoshiro Sohma, Junko Tashiro, et al.. (2003). Asphyxia and Diuretic-Induced Changes in the Ca2+ Concentration of Endolymph.. The Japanese Journal of Physiology. 53(1). 35–44. 6 indexed citations

5.

Nagaoka, Hitoshi, Nadia Catalan, Anne Durandy, et al.. (2003). AID mutant analyses indicate requirement for class-switch-specific cofactors. Nature Immunology. 4(9). 843–848. 254 indexed citations

6.

Tashiro, Junko, Kazuo Kinoshita, & Tasuku Honjo. (2001). Palindromic but not G-rich sequences are targets of class switch recombination. International Immunology. 13(4). 495–505. 67 indexed citations

7.

Chen, Ye, Mayumi Shiota, Masanobu Ohuchi, et al.. (2000). Mast cell tryptase from pig lungs triggers infection by pneumotropic Sendai and influenza A viruses. European Journal of Biochemistry. 267(11). 3189–3197. 39 indexed citations

8.

Kinoshita, K, et al.. (1999). Molecular Mechanism of Immunoglobulin Class Switch Recombination. Cold Spring Harbor Symposia on Quantitative Biology. 64(0). 217–226. 16 indexed citations

9.

Kinoshita, Kazuo, Junko Tashiro, Shuhei Tomita, Chung‐Gi Lee, & Tasuku Honjo. (1998). Target Specificity of Immunoglobulin Class Switch Recombination Is Not Determined by Nucleotide Sequences of S Regions. Immunity. 9(6). 849–858. 63 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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