Dahong Teng

21 total papers · 1.1k total citations
14 papers, 451 citations indexed

About

Dahong Teng is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Dahong Teng has authored 14 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 4 papers in Immunology. Recurrent topics in Dahong Teng's work include MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). Dahong Teng is often cited by papers focused on MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). Dahong Teng collaborates with scholars based in China and United States. Dahong Teng's co-authors include Diana Iliev, Fergus Shanahan, Jamila Gupte, Andrew Wong, Richard J. Smith, Emma Lees, Joseph C. Y. Chen, Lei Lian, Kyle J. Hendricks and Saeed Reza Ghaffari and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Dahong Teng

13 papers receiving 445 citations

Author Peers

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

Author Last Decade Papers Cites
Dahong Teng 357 145 64 56 52 14 451
Stavros Giannakopoulos 383 1.1× 124 0.9× 43 0.7× 46 0.8× 61 1.2× 8 458
Youji He 137 0.4× 106 0.7× 56 0.9× 96 1.7× 190 3.7× 15 422
Ada Collura 242 0.7× 160 1.1× 128 2.0× 28 0.5× 156 3.0× 17 419
Elena Miotto 386 1.1× 62 0.4× 270 4.2× 25 0.4× 78 1.5× 13 536
Minghui Zhang 321 0.9× 38 0.3× 172 2.7× 61 1.1× 132 2.5× 19 492
Ge Lou 302 0.8× 56 0.4× 182 2.8× 33 0.6× 144 2.8× 13 489
Isabel Cortés 320 0.9× 54 0.4× 46 0.7× 44 0.8× 109 2.1× 15 447
C. Fonatsch 234 0.7× 51 0.4× 37 0.6× 22 0.4× 66 1.3× 19 465
Maria Pelullo 331 0.9× 46 0.3× 84 1.3× 113 2.0× 129 2.5× 17 515
Debipriya Das 395 1.1× 41 0.3× 46 0.7× 43 0.8× 107 2.1× 9 485

Countries citing papers authored by Dahong Teng

Since Specialization
Citations

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

Fields of papers citing papers by Dahong Teng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dahong Teng

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