Keigo Sawada

41 total papers · 971 total citations
31 papers, 743 citations indexed

About

Keigo Sawada is a scholar working on Molecular Biology, Urology and Cell Biology. According to data from OpenAlex, Keigo Sawada has authored 31 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Urology and 7 papers in Cell Biology. Recurrent topics in Keigo Sawada's work include Periodontal Regeneration and Treatments (8 papers), Proteoglycans and glycosaminoglycans research (6 papers) and Mesenchymal stem cell research (5 papers). Keigo Sawada is often cited by papers focused on Periodontal Regeneration and Treatments (8 papers), Proteoglycans and glycosaminoglycans research (6 papers) and Mesenchymal stem cell research (5 papers). Keigo Sawada collaborates with scholars based in Japan, United States and United Kingdom. Keigo Sawada's co-authors include H. Honda, Masa Ishigami, Akira Nakajima, Shinya Murakami, Masahide Takedachi, Kiyokazu Agata, Tomoaki Iwayama, Goro Eguchi, Masahiro Kitamura and Atsushi Yoshiki and has published in prestigious journals such as Scientific Reports, Carbon and Biochemical and Biophysical Research Communications.

In The Last Decade

Keigo Sawada

29 papers receiving 727 citations

Author Peers

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

Author Last Decade Papers Cites
Keigo Sawada 205 203 148 100 88 31 743
Bingkun Bao 122 0.6× 169 0.8× 301 2.0× 61 0.6× 38 0.4× 25 827
Xiaolei Li 186 0.9× 282 1.4× 268 1.8× 22 0.2× 26 0.3× 50 835
Xinjie Cai 120 0.6× 138 0.7× 370 2.5× 14 0.1× 105 1.2× 35 821
Hongchen Liu 241 1.2× 85 0.4× 241 1.6× 56 0.6× 59 0.7× 26 818
Yi Zhou 135 0.7× 141 0.7× 375 2.5× 19 0.2× 73 0.8× 25 796
Jian Tan 204 1.0× 49 0.2× 123 0.8× 21 0.2× 60 0.7× 25 695
Jun Liu 207 1.0× 116 0.6× 338 2.3× 35 0.3× 59 0.7× 35 878
Jiaxin Luo 71 0.3× 397 2.0× 234 1.6× 46 0.5× 28 0.3× 34 852
Po‐Jung Chen 308 1.5× 142 0.7× 310 2.1× 21 0.2× 28 0.3× 46 852
Y. Ding 338 1.6× 56 0.3× 88 0.6× 28 0.3× 56 0.6× 21 899

Countries citing papers authored by Keigo Sawada

Since Specialization
Citations

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

Fields of papers citing papers by Keigo Sawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keigo Sawada

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