Kenji Unno

1.4k total citations · 1 hit paper
22 papers, 994 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 994 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 Endometrial and Cervical Cancer Treatments (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 Endometrial and Cervical Cancer Treatments (3 papers). Kenji Unno collaborates with scholars based in United States, Japan and United Kingdom. Kenji Unno's co-authors include Sarki A. Abdulkadir, Barbara Lysy, Vinay Sagar, Young A. Yoo, Yara Rodríguez, Rajita Vatapalli, Jonathan F. Anker, Zachary R. Chalmers, Huiying Han 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 986 citations

Hit Papers

Small-Molecule MYC Inhibitors Suppress Tumor Growth and E... 2019 2026 2021 2023 2019 100 200 300

Peers

Kenji Unno
Comparison fields: 5 of 86
  • Molecular Biology 519
  • Oncology 248
  • Reproductive Medicine 180
  • Pulmonary and Respiratory Medicine 175
  • Obstetrics and Gynecology 173
Replace Liancheng Zhu with:
Liancheng Zhu China
Mélanie Mestdagt Belgium
Maree Bilandzic Australia
Angela Thornton United States
Takeshi Motohara Japan
Takafumi Kuroda Japan
Alexander Jorge Cortez Poland
Megumi Yanokura Japan
Jessica A. Beach United States
Jari Sundström Finland
Liancheng Zhu China View profile →
Citations per field, relative to Kenji Unno
Kenji Unno · 1×
Citations per year, relative to Kenji Unno
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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

20 of 20 papers shown
# Work Indexed citations
1 13
2 5
3 24
4 41
5 77
6
Small-Molecule MYC Inhibitors Suppress Tumor Growth and Enhance Immunotherapy breakdown →
302
7 44
8 34
9 22
10 16
11 49
12 18
13 41
14 55
15 116
16 41
17 46
18 3
19 7
20 3

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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