Haiteng Deng

20.8k citations
345 papers · 16.6k · 2 hit papers · h-index 74

Impact in

Papers in

    • Ubiquitin and proteasome pathways 27
    • Epigenetics and DNA Methylation 26
    • RNA modifications and cancer 23
    • Cancer-related gene regulation 21
    • RNA and protein synthesis mechanisms 19

Haiteng Deng

338 papers receiving 16.1k citations

Haiteng Deng's Hit Papers

Molecular basis of methyl-salicylate-mediated plant airborne defence 2023 · 129 citations
1290+3+6Years since publication100200300400

Peers

Haiteng Deng
Comparison fields: 5 of 172
  • Geriatrics and Gerontology 730
  • Molecular Biology 8.2k
  • Physiology 433
  • Aging 128
  • Cell Biology 1.2k
Replace Liang Tong with:
Liang Tong United States
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Hyun Kyu Song South Korea
Yong Jun Lee United States
Longping Wen China
Dieter Willbold Germany
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Kyeong Sook Choi South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Haiteng Deng

Since Specialization
Citations

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

Fields of papers citing papers by Haiteng Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haiteng Deng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Haiteng Deng Line = papers co-authored together Haiteng Deng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 345 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006554
2
DWARF14 is a non-canonical hormone receptor for strigolactone
Hit paper breakdown →
2016454
3 2012361
4 2013339
5 2015270
6 2001266
7 2011251
8 2012220
9 2019219
10 2018218
11 2018215
12 2014207
13 2013196
14 2007192
15 2012188
16 2008183
17 2014183
18 2009182
19 2019169
20 2019167

About Haiteng Deng

Haiteng Deng is a scholar working on Molecular Biology, Cell Biology, Immunology, Geriatrics and Gerontology and Epidemiology, having authored 345 papers that have together received 16.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (27 papers), Epigenetics and DNA Methylation (26 papers), Nanocluster Synthesis and Applications (25 papers), RNA modifications and cancer (23 papers), Cancer-related gene regulation (21 papers), Autophagy in Disease and Therapy (20 papers), Advanced Nanomaterials in Catalysis (19 papers) and RNA and protein synthesis mechanisms (19 papers). The work is most often cited by research in Geriatrics and Gerontology (730 citations), Molecular Biology (8.2k citations), Physiology (433 citations), Aging (128 citations) and Cell Biology (1.2k citations). Haiteng Deng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuling Chen, Gary J. Van Berkel, K. P. Kerns, Minkui Luo, Wenhao Zhang, Zhikun Wu, Xiaohui Liu, Anthony A. Sauve, Yigong Shi and Paul Kebarle. Their work appears in journals such as Angewandte Chemie International Edition, Journal of the American Chemical Society, Journal of Proteome Research, Cell Research and Protein & Cell.

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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