T. Ishida

45 total papers · 698 total citations
25 papers, 585 citations indexed

About

T. Ishida is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, T. Ishida has authored 25 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Cancer Research. Recurrent topics in T. Ishida's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Heat shock proteins research (2 papers) and Systemic Sclerosis and Related Diseases (2 papers). T. Ishida is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Heat shock proteins research (2 papers) and Systemic Sclerosis and Related Diseases (2 papers). T. Ishida collaborates with scholars based in Japan. T. Ishida's co-authors include Shin’ichiro Akizuki, Mihoko Setoguchi, Yasunori Higuchi, Keiko Matsuura, Shunsuke Yamamoto, Shuji Bandoh, Hideki Ogasawara, Hitoshi Arioka, N Saijo and Kohei Nishio and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

T. Ishida

25 papers receiving 564 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
T. Ishida 203 145 143 129 123 25 585
Alyx Rosen 130 0.6× 111 0.8× 273 1.9× 68 0.5× 43 0.3× 19 504
Anna Runström 141 0.7× 86 0.6× 76 0.5× 86 0.7× 237 1.9× 15 684
Monica S. M. Chan 144 0.7× 38 0.3× 164 1.1× 160 1.2× 79 0.6× 28 672
Chih‐Kung Lin 226 1.1× 48 0.3× 149 1.0× 84 0.7× 45 0.4× 32 588
Yongsheng Yang 183 0.9× 45 0.3× 50 0.3× 111 0.9× 160 1.3× 19 531
Yiju Cheng 193 1.0× 116 0.8× 64 0.4× 110 0.9× 51 0.4× 20 518
Pilar Mur 187 0.9× 56 0.4× 166 1.2× 62 0.5× 26 0.2× 37 641
Kai Liu 283 1.4× 110 0.8× 137 1.0× 56 0.4× 61 0.5× 35 585
Nicoletta Crescenzio 246 1.2× 37 0.3× 124 0.9× 119 0.9× 132 1.1× 33 662
Jiaxuan Chen 256 1.3× 98 0.7× 141 1.0× 49 0.4× 105 0.9× 26 548

Countries citing papers authored by T. Ishida

Since Specialization
Citations

This map shows the geographic impact of T. Ishida'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 T. Ishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Ishida more than expected).

Fields of papers citing papers by T. Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Ishida

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

All Works

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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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