Ryota Uchida

65 total papers · 401 total citations
35 papers, 223 citations indexed

About

Ryota Uchida is a scholar working on Surgery, Physiology and Molecular Biology. According to data from OpenAlex, Ryota Uchida has authored 35 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 9 papers in Physiology and 7 papers in Molecular Biology. Recurrent topics in Ryota Uchida's work include Helicobacter pylori-related gastroenterology studies (9 papers), Gastric Cancer Management and Outcomes (6 papers) and Adipose Tissue and Metabolism (4 papers). Ryota Uchida is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (9 papers), Gastric Cancer Management and Outcomes (6 papers) and Adipose Tissue and Metabolism (4 papers). Ryota Uchida collaborates with scholars based in Japan. Ryota Uchida's co-authors include Keigo Nishida, Takashi Hirota, Naoko Ikuta, Keiji Terao, Emi Kunitake, Tetsuo Kobayashi, Tetsuya Kimura, Kyoko Kanamaru, Makoto Kimura and Koji Suzuki and has published in prestigious journals such as International Journal of Molecular Sciences, International Journal of Heat and Mass Transfer and Biomedicine & Pharmacotherapy.

In The Last Decade

Ryota Uchida

30 papers receiving 218 citations

Author Peers

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

Author Last Decade Papers Cites
Ryota Uchida 79 51 39 28 23 35 223
Xueshi Chen 119 1.5× 18 0.4× 63 1.6× 16 0.6× 49 2.1× 23 317
Evren Köse 63 0.8× 17 0.3× 24 0.6× 14 0.5× 13 0.6× 26 326
Ioannis Patrikios 112 1.4× 20 0.4× 88 2.3× 18 0.6× 17 0.7× 23 325
R. López-Sánchez 84 1.1× 19 0.4× 14 0.4× 18 0.6× 22 1.0× 22 297
Ekaterina Georgieva 102 1.3× 17 0.3× 27 0.7× 13 0.5× 34 1.5× 28 302
Benedetta Riccardi 91 1.2× 43 0.8× 14 0.4× 33 1.2× 9 0.4× 24 292
Huilei Wang 150 1.9× 57 1.1× 21 0.5× 32 1.1× 13 0.6× 20 329
Tamara Tomin 150 1.9× 58 1.1× 13 0.3× 26 0.9× 8 0.3× 21 284
Olha Yelisyeyeva 62 0.8× 17 0.3× 22 0.6× 34 1.2× 8 0.3× 18 240
Tamara Nikolić Turnić 66 0.8× 21 0.4× 37 0.9× 16 0.6× 12 0.5× 46 296

Countries citing papers authored by Ryota Uchida

Since Specialization
Citations

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

Fields of papers citing papers by Ryota Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryota Uchida

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