Mami Chirifu

23 total papers · 468 total citations
11 papers, 224 citations indexed

About

Mami Chirifu is a scholar working on Molecular Biology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Mami Chirifu has authored 11 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Mami Chirifu's work include DNA Repair Mechanisms (5 papers), NF-κB Signaling Pathways (2 papers) and Immune Cell Function and Interaction (2 papers). Mami Chirifu is often cited by papers focused on DNA Repair Mechanisms (5 papers), NF-κB Signaling Pathways (2 papers) and Immune Cell Function and Interaction (2 papers). Mami Chirifu collaborates with scholars based in Japan, Russia and United States. Mami Chirifu's co-authors include Shinji Ikemizu, Yuriko Yamagata, Teruya Nakamura, Tsuyoshi Shuto, Hirofumi Kai, Š. Toma, Simon J. Davis, Takao Arimori, Hiroshi Morioka and Yusaku Nakabeppu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Mami Chirifu

10 papers receiving 214 citations

Author Peers

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

Author Last Decade Papers Cites
Mami Chirifu 124 78 39 39 27 11 224
W.P. Zeylemaker 141 1.1× 44 0.6× 18 0.5× 48 1.2× 15 0.6× 11 255
Sunniva Förster 126 1.0× 55 0.7× 16 0.4× 45 1.2× 22 0.8× 10 288
Fabrizio Monaco 87 0.7× 74 0.9× 39 1.0× 20 0.5× 14 0.5× 12 312
Liang‐Cai Wu 92 0.7× 40 0.5× 16 0.4× 42 1.1× 20 0.7× 16 235
Hye‐Yeon Kang 192 1.5× 88 1.1× 29 0.7× 23 0.6× 18 0.7× 9 282
Kranthi Kiran Kishore Tanagala 161 1.3× 70 0.9× 25 0.6× 18 0.5× 23 0.9× 8 320
Verrell M. Randolph 229 1.8× 23 0.3× 21 0.5× 21 0.5× 27 1.0× 14 310
Gianpaolo Chiriano 108 0.9× 68 0.9× 43 1.1× 54 1.4× 20 0.7× 15 323
Vincent Nganga 143 1.2× 51 0.7× 37 0.9× 8 0.2× 44 1.6× 8 296
Sunmi Lee 205 1.7× 60 0.8× 34 0.9× 24 0.6× 9 0.3× 15 324

Countries citing papers authored by Mami Chirifu

Since Specialization
Citations

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

Fields of papers citing papers by Mami Chirifu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mami Chirifu

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