Yuta Mori

92 total papers · 529 total citations
46 papers, 324 citations indexed

About

Yuta Mori is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Surgery. According to data from OpenAlex, Yuta Mori has authored 46 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Pulmonary and Respiratory Medicine, 8 papers in Physiology and 5 papers in Surgery. Recurrent topics in Yuta Mori's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers), Respiratory and Cough-Related Research (6 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers). Yuta Mori is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (10 papers), Respiratory and Cough-Related Research (6 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers). Yuta Mori collaborates with scholars based in Japan, United States and Germany. Yuta Mori's co-authors include Fumiaki Nagashima, Hiroshi Kawase, K. Nakano, Tomoko Tajiri, Masashi Satoh, Hirotsugu Ohkubo, Noriharu Shijubo, Hayato Koba, Kensuke Fukumitsu and Taiyo Morikawa and has published in prestigious journals such as European Respiratory Journal, Preventive Medicine and Tetrahedron Letters.

In The Last Decade

Yuta Mori

39 papers receiving 315 citations

Author Peers

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

Author Last Decade Papers Cites
Yuta Mori 131 108 84 73 35 46 324
Mitsuo Hashimoto 37 0.3× 20 0.2× 24 0.3× 30 0.4× 11 0.3× 33 343
Shike Zhang 8 0.1× 86 0.8× 39 0.5× 9 0.1× 13 0.4× 35 241
Zhengqing Wang 12 0.1× 30 0.3× 59 0.7× 28 0.4× 43 1.2× 40 275
Qixin Wang 50 0.4× 2 0.0× 60 0.7× 8 0.1× 14 0.4× 39 277
Matthew Lawrence 9 0.1× 32 0.3× 3 0.0× 13 0.2× 136 3.9× 37 329
И. Н. Тихонов 81 0.6× 9 0.1× 5 0.1× 20 0.3× 39 1.1× 45 294
Huanqiang Li 3 0.0× 11 0.1× 98 1.2× 13 0.2× 34 1.0× 25 341
Paolo Giuseppe Pino 12 0.1× 97 0.9× 6 0.1× 2 0.0× 125 3.6× 55 345
Antonio Trogu 88 0.7× 13 0.1× 2 0.0× 4 0.1× 20 0.6× 29 282
Takamasa Takahashi 2 0.0× 121 1.1× 23 0.3× 10 0.1× 161 4.6× 48 329

Countries citing papers authored by Yuta Mori

Since Specialization
Citations

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

Fields of papers citing papers by Yuta Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuta Mori

This figure shows the co-authorship network connecting the top 25 collaborators of Yuta Mori. A scholar is included among the top collaborators of Yuta Mori 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 Yuta Mori. Yuta Mori 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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