Daqi Deng

547 total citations
3 papers, 62 citations indexed

About

Daqi Deng is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Daqi Deng has authored 3 papers receiving a total of 62 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Pathology and Forensic Medicine and 1 paper in Oncology. Recurrent topics in Daqi Deng's work include RNA modifications and cancer (1 paper), Cancer Genomics and Diagnostics (1 paper) and Genetic factors in colorectal cancer (1 paper). Daqi Deng is often cited by papers focused on RNA modifications and cancer (1 paper), Cancer Genomics and Diagnostics (1 paper) and Genetic factors in colorectal cancer (1 paper). Daqi Deng collaborates with scholars based in China, Singapore and Japan. Daqi Deng's co-authors include Guipeng Li, Yuhui Hu, Wei Chen, Huanhuan Cui, Liang Fang, Qionghua Zhu, Zhengyu Song, Ying Tan, Yunfei Li and Shuye Tian and has published in prestigious journals such as Oncogene, Cell Reports and Molecular Systems Biology.

In The Last Decade

Daqi Deng

3 papers receiving 62 citations

Peers

Daqi Deng
Yi‐Lan Weng United States
Ruth Witt Germany
Leonardo Ferreira United States
Zhongming Zhao United States
Tommaso Mari Germany
Daqi Deng
Citations per year, relative to Daqi Deng Daqi Deng (= 1×) peers Sebastian Brabetz

Countries citing papers authored by Daqi Deng

Since Specialization
Citations

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

Fields of papers citing papers by Daqi Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daqi Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Daqi Deng. A scholar is included among the top collaborators of Daqi Deng 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 Daqi Deng. Daqi Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Nakamura, Hideki, Christopher T. Lee, Kie Itoh, et al.. (2023). ActuAtor, a Listeria-inspired molecular tool for physical manipulation of intracellular organizations through de novo actin polymerization. Cell Reports. 42(10). 113089–113089. 3 indexed citations
2.
Yi, Hongyang, Guipeng Li, Huanhuan Cui, et al.. (2020). Integrative multi-omics analysis of a colon cancer cell line with heterogeneous Wnt activity revealed RUNX2 as an epigenetic regulator of EMT. Oncogene. 39(28). 5152–5164. 31 indexed citations
3.
Fang, Liang, Wen Wang, Guipeng Li, et al.. (2020). CIGAR‐seq, a CRISPR/Cas‐based method for unbiased screening of novel mRNA modification regulators. Molecular Systems Biology. 16(11). e10025–e10025. 28 indexed citations

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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