Keiko Shoda

18 total papers · 948 total citations
11 papers, 755 citations indexed

About

Keiko Shoda is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Keiko Shoda has authored 11 papers receiving a total of 755 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Cell Biology. Recurrent topics in Keiko Shoda's work include Plant Molecular Biology Research (4 papers), Cellular transport and secretion (3 papers) and Plant Reproductive Biology (3 papers). Keiko Shoda is often cited by papers focused on Plant Molecular Biology Research (4 papers), Cellular transport and secretion (3 papers) and Plant Reproductive Biology (3 papers). Keiko Shoda collaborates with scholars based in Japan, United States and India. Keiko Shoda's co-authors include Akihiko Nakano, Hirofumi Uchimiya, Hirokazu Tsukaya, Tomohiro Uemura, Takashi Ueda, Tomohiko Tsuge, Ryusuke Yokoyama, Kazuhiko Nishitani, Masamitsu Wada and Chieko Saito and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Molecular Cell.

In The Last Decade

Keiko Shoda

11 papers receiving 742 citations

Author Peers

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

Author Last Decade Papers Cites
Keiko Shoda 617 519 168 39 34 11 755
Niklas Wallmeroth 454 0.7× 580 1.1× 176 1.0× 13 0.3× 26 0.8× 16 875
Jadwiga Molè-Bajer 585 0.9× 337 0.6× 575 3.4× 50 1.3× 42 1.2× 18 850
J.J. Esseling 527 0.9× 373 0.7× 104 0.6× 17 0.4× 29 0.9× 14 808
Shu‐Zon Wu 437 0.7× 453 0.9× 151 0.9× 128 3.3× 16 0.5× 17 691
Chuanmei Zhu 382 0.6× 546 1.1× 137 0.8× 32 0.8× 31 0.9× 16 692
M Imai 694 1.1× 216 0.4× 223 1.3× 92 2.4× 47 1.4× 12 894
Iris K. Jarsch 419 0.7× 383 0.7× 173 1.0× 7 0.2× 15 0.4× 8 719
Yihong Yang 488 0.8× 436 0.8× 152 0.9× 6 0.2× 34 1.0× 20 842
P. K. Hepler 573 0.9× 386 0.7× 275 1.6× 99 2.5× 35 1.0× 10 755
Beatriz M. Bonini 705 1.1× 290 0.6× 61 0.4× 33 0.8× 28 0.8× 13 903

Countries citing papers authored by Keiko Shoda

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Shoda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Shoda

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026