Tsuyoshi Iida

1.3k total citations
40 papers, 998 citations indexed

About

Tsuyoshi Iida is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Tsuyoshi Iida has authored 40 papers receiving a total of 998 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Epidemiology and 5 papers in Infectious Diseases. Recurrent topics in Tsuyoshi Iida's work include Pluripotent Stem Cells Research (8 papers), Bacterial Infections and Vaccines (4 papers) and Parasites and Host Interactions (3 papers). Tsuyoshi Iida is often cited by papers focused on Pluripotent Stem Cells Research (8 papers), Bacterial Infections and Vaccines (4 papers) and Parasites and Host Interactions (3 papers). Tsuyoshi Iida collaborates with scholars based in Japan, United States and United Kingdom. Tsuyoshi Iida's co-authors include Kevin Catt, Stanko S. Stojilković, F Merelli, Hideyuki Okano, Masaya Nakamura, Jun Kohyama, Keiko Sugai, Go Itakura, Morio Matsumoto and Narihito Nagoshi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Tsuyoshi Iida

39 papers receiving 960 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tsuyoshi Iida Japan 18 547 244 141 134 116 40 998
Petr Vodička Czechia 22 1.1k 1.9× 486 2.0× 71 0.5× 212 1.6× 104 0.9× 48 1.8k
Paul Carmillo United States 15 497 0.9× 242 1.0× 202 1.4× 19 0.1× 132 1.1× 16 1.1k
Claudia Stewart United States 13 578 1.1× 175 0.7× 35 0.2× 103 0.8× 18 0.2× 15 1.4k
Patricia Taillon‐Miller United States 21 1.1k 1.9× 96 0.4× 378 2.7× 67 0.5× 33 0.3× 35 2.0k
Maureen Durning United States 18 1.3k 2.3× 88 0.4× 191 1.4× 128 1.0× 80 0.7× 34 1.9k
Michèle Trabucchi France 24 1.5k 2.7× 139 0.6× 103 0.7× 29 0.2× 33 0.3× 47 1.9k
W. Schmahl Germany 17 563 1.0× 223 0.9× 11 0.1× 55 0.4× 127 1.1× 74 1.1k
Édouard W. Khandjian Canada 28 1.8k 3.3× 117 0.5× 146 1.0× 92 0.7× 24 0.2× 44 2.3k
Luigi Viggiano Italy 24 1.1k 2.1× 59 0.2× 27 0.2× 86 0.6× 44 0.4× 45 1.6k
Valérie Delague France 28 1.7k 3.1× 435 1.8× 58 0.4× 161 1.2× 13 0.1× 91 2.6k

Countries citing papers authored by Tsuyoshi Iida

Since Specialization
Citations

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

Fields of papers citing papers by Tsuyoshi Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsuyoshi Iida

This figure shows the co-authorship network connecting the top 25 collaborators of Tsuyoshi Iida. A scholar is included among the top collaborators of Tsuyoshi Iida 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 Tsuyoshi Iida. Tsuyoshi Iida 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.
Hirose, Yuichiro, Narihito Nagoshi, Osahiko Tsuji, et al.. (2023). Natural history and surgical outcomes of idiopathic spinal cord herniation. Spinal Cord. 61(8). 441–446. 1 indexed citations
2.
3.
Matsumoto, Hirotaka, Tetsutaro Hayashi, Haruka Ozaki, et al.. (2019). An NMF-based approach to discover overlooked differentially expressed gene regions from single-cell RNA-seq data. NAR Genomics and Bioinformatics. 2(1). lqz020–lqz020. 2 indexed citations
4.
Itakura, Go, Soya Kawabata, Miki Ando, et al.. (2017). Fail-Safe System against Potential Tumorigenicity after Transplantation of iPSC Derivatives. Stem Cell Reports. 8(3). 673–684. 97 indexed citations
5.
Itakura, Go, Masahiro Ozaki, Narihito Nagoshi, et al.. (2017). Low immunogenicity of mouse induced pluripotent stem cell-derived neural stem/progenitor cells. Scientific Reports. 7(1). 12996–12996. 22 indexed citations
6.
Okubo, Toshiki, Akio Iwanami, Jun Kohyama, et al.. (2016). Pretreatment with a γ-Secretase Inhibitor Prevents Tumor-like Overgrowth in Human iPSC-Derived Transplants for Spinal Cord Injury. Stem Cell Reports. 7(4). 649–663. 75 indexed citations
7.
Yoshida, Masaaki, Tsuyoshi Iida, Kiyofumi Nitta, et al.. (2014). Electrochromic Characteristics of a Nickel Borate Thin Film Investigated by In Situ XAFS and UV/vis Spectroscopy. Electrochemistry. 82(5). 355–358. 13 indexed citations
8.
Iida, Tsuyoshi, Masaya Nakamura, Osahiko Tsuji, et al.. (2012). Dumbbell mesenchymal chondrosarcoma: report of a rare case. Journal of Orthopaedic Science. 19(1). 190–193. 4 indexed citations
9.
Ito, Takafumi, Niels Jørgen Olesen, Helle Frank Skall, et al.. (2009). Development of a monoclonal antibody against viral haemorrhagic septicaemia virus (VHSV) genotype IVa. Diseases of Aquatic Organisms. 89(1). 17–27. 11 indexed citations
10.
Tang, George, Tsuyoshi Iida, Keiichi Yamamoto, & Takashi Honda. (1997). Analysis of functional domains of thermostable direct hemolysin using monoclonal antibodies. FEMS Microbiology Letters. 150(2). 289–296. 10 indexed citations
11.
Ikeda, K, Tsuyoshi Iida, & S Nakagawa. (1993). Postnatal Expression ofHypoxanthine GuaninePhosphoribosyltransferase in theMouse Brain. PubMed. 47(2). 65–72. 3 indexed citations
12.
Stojilković, Stanko S., Tsuyoshi Iida, F Merelli, et al.. (1991). Interactions between calcium and protein kinase C in the control of signaling and secretion in pituitary gonadotrophs. Journal of Biological Chemistry. 266(16). 10377–10384. 67 indexed citations
13.
Stojilković, Stanko S., Tsuyoshi Iida, F Merelli, & Kevin Catt. (1991). Calcium signaling and secretory responses in endothelin-stimulated anterior pituitary cells.. Molecular Pharmacology. 39(6). 762–770. 43 indexed citations
14.
Iida, Tsuyoshi, et al.. (1981). Toxoplasma infection among pregnant women and their babies in Tokyo district.. Kiseichūgaku zasshi. 30(6). 563–570. 1 indexed citations
15.
Iida, Tsuyoshi, et al.. (1975). The Effect of 2,4‐Dinitrophenol on the Growth of Bordetella pertussis in Chick Tracheal Organ Culture. Japanese Journal of Microbiology. 19(5). 381–386. 5 indexed citations
16.
Iida, Tsuyoshi. (1972). Experimental Study on the Transmission of Sendai Virus in Specific Pathogen-free Mice. Journal of General Virology. 14(1). 69–75. 8 indexed citations
17.
Iida, Tsuyoshi & Motoshi Tajima. (1971). Stimulation of non-specific resistance by heterologous endotoxins and experimental immunity to Bordetella pertussis in mice.. PubMed. 21(2). 313–22. 5 indexed citations
18.
Iida, Tsuyoshi. (1966). Immunofluorescence for sero-epidemiological study of Tsutsugamushi disease rickettsia. 36(4). 435–447. 5 indexed citations
19.
Iida, Tsuyoshi & Frederik B. Bang. (1963). INFECTION OF THE UPPER RESPIRATORY TRACT OF MICE WITH INFLUENZA A VIRUS1. American Journal of Epidemiology. 77(2). 169–176. 19 indexed citations
20.
Iida, Tsuyoshi. (1962). Studies on experimental infection with Bordetella pertussis;bacteriological and pathological studies on the mode of infection in mouse brain.. 32(6). 3 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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