Mayumi Kawada

30 total papers · 1.9k total citations
20 papers, 1.6k citations indexed

About

Mayumi Kawada is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Mayumi Kawada has authored 20 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Mayumi Kawada's work include Cytokine Signaling Pathways and Interactions (3 papers), Immune Cell Function and Interaction (3 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). Mayumi Kawada is often cited by papers focused on Cytokine Signaling Pathways and Interactions (3 papers), Immune Cell Function and Interaction (3 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). Mayumi Kawada collaborates with scholars based in Japan, United States and Germany. Mayumi Kawada's co-authors include Hiroshi Seno, Tsutomu Chiba, Emiko Mizoguchi, Yoshiharu Sakai, Kenji Kawada, Yuriko Hachiya, Tateo Sawabu, Keitaro Kanda, Naoki Kanda and Yuki Nakanishi and has published in prestigious journals such as Nature Genetics, The Journal of Experimental Medicine and Gastroenterology.

In The Last Decade

Mayumi Kawada

19 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Mayumi Kawada 653 643 464 258 214 20 1.6k
Sigurd Krieger 524 0.8× 687 1.1× 452 1.0× 294 1.1× 195 0.9× 35 1.7k
Marja Nieuwland 837 1.3× 833 1.3× 627 1.4× 199 0.8× 246 1.1× 27 1.9k
Meri Najdovska 702 1.1× 539 0.8× 700 1.5× 294 1.1× 253 1.2× 16 1.7k
Bijan Ansari 378 0.6× 647 1.0× 228 0.5× 355 1.4× 256 1.2× 16 1.5k
Aileen Houston 481 0.7× 762 1.2× 712 1.5× 157 0.6× 214 1.0× 40 1.7k
Anne M. Fourie 420 0.6× 676 1.1× 523 1.1× 158 0.6× 343 1.6× 31 2.0k
Kaushal Parikh 339 0.5× 732 1.1× 473 1.0× 313 1.2× 122 0.6× 32 1.5k
Laura Koumas 342 0.5× 567 0.9× 622 1.3× 169 0.7× 222 1.0× 19 2.2k
G P Jahreis 403 0.6× 796 1.2× 482 1.0× 255 1.0× 171 0.8× 29 2.0k
Hans Raskov 957 1.5× 715 1.1× 767 1.7× 190 0.7× 284 1.3× 32 2.0k

Countries citing papers authored by Mayumi Kawada

Since Specialization
Citations

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

Fields of papers citing papers by Mayumi Kawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Kawada

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