Sheng‐Yu Ku

4.3k total citations · 1 hit paper
35 papers, 1.8k citations indexed

About

Sheng‐Yu Ku is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Sheng‐Yu Ku has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Pulmonary and Respiratory Medicine, 17 papers in Molecular Biology and 11 papers in Cancer Research. Recurrent topics in Sheng‐Yu Ku's work include Prostate Cancer Treatment and Research (22 papers), Epigenetics and DNA Methylation (8 papers) and Cancer Genomics and Diagnostics (6 papers). Sheng‐Yu Ku is often cited by papers focused on Prostate Cancer Treatment and Research (22 papers), Epigenetics and DNA Methylation (8 papers) and Cancer Genomics and Diagnostics (6 papers). Sheng‐Yu Ku collaborates with scholars based in United States, Italy and Canada. Sheng‐Yu Ku's co-authors include Himisha Beltran, Leigh Ellis, Martin Gleave, David W. Goodrich, Henry W. Long, Роберто Пили, Myles Brown, Spencer R. Rosario, Eduardo Cortes Gomez and Massimo Loda and has published in prestigious journals such as Science, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Sheng‐Yu Ku

34 papers receiving 1.8k citations

Hit Papers

Rb1 and Trp53 cooperate to suppress prostate cancer linea... 2017 2026 2020 2023 2017 200 400 600

Peers

Sheng‐Yu Ku
Comparison fields: 5 of 82
  • Pulmonary and Respiratory Medicine 1.1k
  • Molecular Biology 1.0k
  • Oncology 556
  • Cancer Research 533
  • Cell Biology 149
Replace Loredana Puca with:
Loredana Puca United States
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Rhonda L. Bitting United States
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Richeng Jiang China
Holly M. Nguyen United States
Ondrej Kalous United States
Spencer R. Rosario United States
Loredana Puca United States View profile →
Citations per field, relative to Sheng‐Yu Ku
Sheng‐Yu Ku · 1×
Citations per year, relative to Sheng‐Yu Ku
Sheng‐Yu Ku · 1×

Countries citing papers authored by Sheng‐Yu Ku

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐Yu Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng‐Yu Ku. 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 Sheng‐Yu Ku. The network helps show where Sheng‐Yu Ku may publish in the future.

Co-authorship network of co-authors of Sheng‐Yu Ku

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng‐Yu Ku. A scholar is included among the top collaborators of Sheng‐Yu Ku 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 Sheng‐Yu Ku. Sheng‐Yu Ku 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 1
2 0
3 16
4 2
5 14
6 58
7 1
8 22
9 41
10 132
11 9
12 46
13 10
14 163
15 61
16
Rb1 and Trp53 cooperate to suppress prostate cancer lineage plasticity, metastasis, and antiandrogen resistance breakdown →
680
17 108
18 56
19 12
20 57

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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