Wen Deng

34 total papers · 1.3k total citations
28 papers, 763 citations indexed

About

Wen Deng is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Wen Deng has authored 28 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Immunology and 5 papers in Biomedical Engineering. Recurrent topics in Wen Deng's work include Genomics and Chromatin Dynamics (6 papers), Nanoplatforms for cancer theranostics (5 papers) and Epigenetics and DNA Methylation (4 papers). Wen Deng is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), Nanoplatforms for cancer theranostics (5 papers) and Epigenetics and DNA Methylation (4 papers). Wen Deng collaborates with scholars based in China, Germany and Switzerland. Wen Deng's co-authors include Heinrich Leonhardt, M. Cristina Cardoso, Jonas Helma, Henry D. Herce, Stephan Diekmann, Christian Hoischen, Yue Ma‐Lauer, Albrecht von Brunn, Rolf Hilgenfeld and Jian Lei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Wen Deng

22 papers receiving 755 citations

Author Peers

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

Author						Papers	Cites
Wen Deng	528	144	132	103	85	28	763
Alexis Huet	516 1.0×	108 0.8×	72 0.5×	82 0.8×	73 0.9×	27	865
Hans Türler	453 0.9×	65 0.5×	82 0.6×	51 0.5×	165 1.9×	35	875
Gorka Lasso	563 1.1×	122 0.8×	63 0.5×	147 1.4×	50 0.6×	22	874
Katie Binley	559 1.1×	178 1.2×	47 0.4×	51 0.5×	75 0.9×	22	782
Mohinder S. Kang	336 0.6×	66 0.5×	89 0.7×	143 1.4×	67 0.8×	18	782
Peter Bromley	545 1.0×	79 0.5×	84 0.6×	39 0.4×	71 0.8×	33	794
Irene Chau	659 1.2×	114 0.8×	91 0.7×	49 0.5×	58 0.7×	21	910
Steven M. Swift	505 1.0×	54 0.4×	62 0.5×	54 0.5×	61 0.7×	25	855
Séverine Bär	364 0.7×	139 1.0×	50 0.4×	155 1.5×	80 0.9×	19	668
Simon Messing	630 1.2×	66 0.5×	146 1.1×	105 1.0×	29 0.3×	27	808

Countries citing papers authored by Wen Deng

Since Specialization

Citations

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

Fields of papers citing papers by Wen Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Deng

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