Kenji Unno

69 total papers · 1.4k total citations
22 papers, 987 citations indexed

About

Kenji Unno is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Kenji Unno has authored 22 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in Kenji Unno's work include Prostate Cancer Treatment and Research (6 papers), Protein Degradation and Inhibitors (5 papers) and Cancer-related gene regulation (3 papers). Kenji Unno is often cited by papers focused on Prostate Cancer Treatment and Research (6 papers), Protein Degradation and Inhibitors (5 papers) and Cancer-related gene regulation (3 papers). Kenji Unno collaborates with scholars based in United States and Japan. Kenji Unno's co-authors include Sarki A. Abdulkadir, Barbara Lysy, Vinay Sagar, Young A. Yoo, Yara Rodríguez, Rajita Vatapalli, Huiying Han, Zachary R. Chalmers, Jonathan F. Anker and Takeshi Kurita and has published in prestigious journals such as Nature Communications, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Kenji Unno

22 papers receiving 979 citations

Hit Papers

Small-Molecule MYC Inhibi... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Kenji Unno 514 248 180 174 173 22 987
David A. Sampson 371 0.7× 254 1.0× 208 1.2× 104 0.6× 147 0.8× 23 1.1k
Timothy Childs 457 0.9× 262 1.1× 216 1.2× 115 0.7× 143 0.8× 20 920
Matthieu Le Gallo 486 0.9× 288 1.2× 137 0.8× 93 0.5× 193 1.1× 23 1.0k
Masanori Kanemura 416 0.8× 310 1.3× 269 1.5× 98 0.6× 171 1.0× 37 919
Weiguo Wu 601 1.2× 312 1.3× 99 0.6× 98 0.6× 150 0.9× 32 976
Marina Rigau 508 1.0× 167 0.7× 107 0.6× 195 1.1× 153 0.9× 23 921
Marion T. Weigel 480 0.9× 337 1.4× 112 0.6× 118 0.7× 113 0.7× 27 1.1k
Eva Colás 621 1.2× 231 0.9× 223 1.2× 184 1.1× 387 2.2× 42 1.2k
Herbert L. Kotz 429 0.8× 363 1.5× 287 1.6× 141 0.8× 119 0.7× 24 1.0k
Andrew N. Stephens 302 0.6× 339 1.4× 336 1.9× 80 0.5× 103 0.6× 32 883

Countries citing papers authored by Kenji Unno

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Unno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Unno

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