Maki Wakamiya

67 total papers · 4.7k total citations
53 papers, 3.6k citations indexed

About

Maki Wakamiya is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Maki Wakamiya has authored 53 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 11 papers in Genetics and 9 papers in Infectious Diseases. Recurrent topics in Maki Wakamiya's work include Developmental Biology and Gene Regulation (10 papers), Viral Infections and Vectors (7 papers) and DNA Repair Mechanisms (5 papers). Maki Wakamiya is often cited by papers focused on Developmental Biology and Gene Regulation (10 papers), Viral Infections and Vectors (7 papers) and DNA Repair Mechanisms (5 papers). Maki Wakamiya collaborates with scholars based in United States, China and Japan. Maki Wakamiya's co-authors include Richard R. Behringer, Allan Bradley, Martin J. Shea, Pentao Liu, Urs Albrecht, Jaime A. Rivera‐Pérez, Patrick Tam, Robert S. Geske, Tania E. Tsang and Michael R. Blackburn and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Maki Wakamiya

53 papers receiving 3.5k citations

Hit Papers

Requirement for Wnt3 in v... 1999 2026 2008 2017 1999 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Maki Wakamiya 2.4k 579 502 488 307 53 3.6k
Didier Décimo 3.3k 1.4× 395 0.7× 999 2.0× 279 0.6× 263 0.9× 56 4.3k
Katherine J. Martin 1.4k 0.6× 343 0.6× 399 0.8× 392 0.8× 234 0.8× 66 2.7k
Victoria Graham 1.4k 0.6× 606 1.0× 196 0.4× 425 0.9× 275 0.9× 47 2.8k
Jean‐Jacques Panthier 1.6k 0.7× 290 0.5× 553 1.1× 242 0.5× 148 0.5× 99 3.2k
Xavier Montagutelli 1.4k 0.6× 480 0.8× 705 1.4× 458 0.9× 207 0.7× 107 3.3k
Atze T. Das 2.8k 1.1× 762 1.3× 626 1.2× 253 0.5× 405 1.3× 113 3.8k
Vincent Funari 1.9k 0.8× 586 1.0× 748 1.5× 127 0.3× 362 1.2× 53 3.7k
Mingxiao Ding 2.9k 1.2× 555 1.0× 453 0.9× 245 0.5× 278 0.9× 60 4.4k
Richard E. Lloyd 3.1k 1.3× 895 1.5× 561 1.1× 156 0.3× 399 1.3× 69 4.6k
Hongjian Jin 1.6k 0.7× 243 0.4× 372 0.7× 317 0.6× 369 1.2× 71 4.2k

Countries citing papers authored by Maki Wakamiya

Since Specialization
Citations

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

Fields of papers citing papers by Maki Wakamiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maki Wakamiya

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