Mayumi Ishida

8 total papers · 438 total citations
5 papers, 150 citations indexed

About

Mayumi Ishida is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ecology. According to data from OpenAlex, Mayumi Ishida has authored 5 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Ecology. Recurrent topics in Mayumi Ishida's work include Genomics and Chromatin Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers) and Adenosine and Purinergic Signaling (1 paper). Mayumi Ishida is often cited by papers focused on Genomics and Chromatin Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers) and Adenosine and Purinergic Signaling (1 paper). Mayumi Ishida collaborates with scholars based in Japan. Mayumi Ishida's co-authors include Jun‐ichi Nakayama, Aki Hayashi, Yasuo Shinohara, Eiji Majima, Hiroshi Terada, Hiroshi Chuman, Koichi Uegaki, Satoru Goto, Yasuko Ohtani and Yoshifumi Nishimura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Mayumi Ishida

5 papers receiving 147 citations

Author Peers

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

Author						Papers	Cites
Mayumi Ishida	132	19	11	11	10	5	150
Krikor Seraidarian	108 0.8×	10 0.5×	7 0.6×	4 0.4×	11 1.1×	3	174
Yaarub Musa	109 0.8×	31 1.6×	4 0.4×	7 0.6×	4 0.4×	5	147
Ruth H. Millington	86 0.7×	14 0.7×	28 2.5×	26 2.4×	16 1.6×	5	138
Ida de Vries	204 1.5×	12 0.6×	3 0.3×	6 0.5×	4 0.4×	4	262
Adam F Kebede	236 1.8×	11 0.6×	24 2.2×	21 1.9×	12 1.2×	4	255
Saravanan Sundararajan	159 1.2×	7 0.4×	8 0.7×	27 2.5×	5 0.5×	6	244
Stephen S. Rekow	149 1.1×	8 0.4×	10 0.9×	16 1.5×	4 0.4×	5	227
Minnie Fu	193 1.5×	10 0.5×	29 2.6×	9 0.8×	4 0.4×	5	251
Laura Knuppertz	80 0.6×	8 0.4×	21 1.9×	6 0.5×	8 0.8×	5	123
Bianca‐Sabrina Targosz	135 1.0×	8 0.4×	27 2.5×	10 0.9×	8 0.8×	6	216

Countries citing papers authored by Mayumi Ishida

Since Specialization

Citations

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

Fields of papers citing papers by Mayumi Ishida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Ishida

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