Daijiro Konno

54 total papers · 2.3k total citations
33 papers, 1.7k citations indexed

About

Daijiro Konno is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Daijiro Konno has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 10 papers in Developmental Neuroscience. Recurrent topics in Daijiro Konno's work include Neurogenesis and neuroplasticity mechanisms (10 papers), Neuroscience and Neuropharmacology Research (6 papers) and Axon Guidance and Neuronal Signaling (5 papers). Daijiro Konno is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (10 papers), Neuroscience and Neuropharmacology Research (6 papers) and Axon Guidance and Neuronal Signaling (5 papers). Daijiro Konno collaborates with scholars based in Japan, United States and Canada. Daijiro Konno's co-authors include Fumio Matsuzaki, Atsunori Shitamukai, Hiroshi Kiyonari, Takaki Miyata, Kenji Sobue, Go Shioi, Asako Mori, Kei Hori, Hisato Maruoka and Shigeo Okabe 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

Daijiro Konno

33 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Daijiro Konno 1.1k 539 498 448 203 33 1.7k
Thomas Pratt 1.3k 1.2× 489 0.9× 673 1.4× 431 1.0× 249 1.2× 39 1.8k
Leanne Godinho 1.1k 1.0× 416 0.8× 622 1.2× 531 1.2× 90 0.4× 35 1.6k
Atsunori Shitamukai 1.1k 1.0× 612 1.1× 278 0.6× 412 0.9× 171 0.8× 22 1.5k
David J. Solecki 834 0.7× 330 0.6× 348 0.7× 450 1.0× 231 1.1× 40 1.4k
Hiromi Shimojo 1.6k 1.4× 544 1.0× 299 0.6× 267 0.6× 179 0.9× 29 1.9k
Robert Hindges 1.3k 1.2× 362 0.7× 1.1k 2.2× 597 1.3× 181 0.9× 37 2.1k
Pierre Mattar 1.1k 0.9× 485 0.9× 461 0.9× 218 0.5× 179 0.9× 35 1.5k
Leslie A. Krushel 921 0.8× 262 0.5× 503 1.0× 245 0.5× 134 0.7× 22 1.6k
Jun Hatakeyama 1.7k 1.5× 616 1.1× 433 0.9× 359 0.8× 255 1.3× 34 2.1k
Fausto Ulloa 1.4k 1.2× 296 0.5× 343 0.7× 275 0.6× 277 1.4× 32 1.8k

Countries citing papers authored by Daijiro Konno

Since Specialization
Citations

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

Fields of papers citing papers by Daijiro Konno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daijiro Konno

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