Dehua Pei

9.6k total citations · 1 hit paper
171 papers, 7.5k citations indexed

About

Dehua Pei is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Dehua Pei has authored 171 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 144 papers in Molecular Biology, 56 papers in Oncology and 23 papers in Immunology. Recurrent topics in Dehua Pei's work include Peptidase Inhibition and Analysis (52 papers), Chemical Synthesis and Analysis (50 papers) and RNA Interference and Gene Delivery (29 papers). Dehua Pei is often cited by papers focused on Peptidase Inhibition and Analysis (52 papers), Chemical Synthesis and Analysis (50 papers) and RNA Interference and Gene Delivery (29 papers). Dehua Pei collaborates with scholars based in United States, Canada and China. Dehua Pei's co-authors include Ziqing Qian, Patrick G. Dougherty, Ashweta Sahni, P. T. Ravi Rajagopalan, Marina Buyanova, Jinge Zhu, Anne‐Sophie Wavreille, Christopher T. Walsh, Curran A. Rhodes and Qing Xiao and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Dehua Pei

168 papers receiving 7.4k citations

Hit Papers

Understanding Cell Penetration of Cyclic Peptides 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dehua Pei United States 50 6.0k 1.7k 1.1k 1.0k 829 171 7.5k
Akira Otaka Japan 50 4.6k 0.8× 1.5k 0.9× 2.6k 2.3× 1.2k 1.2× 581 0.7× 225 7.9k
Howard C. Hang United States 51 5.8k 1.0× 1.1k 0.6× 2.9k 2.6× 1.3k 1.3× 953 1.1× 122 8.4k
Jens Schneider‐Mergener Germany 47 5.2k 0.9× 1.1k 0.6× 357 0.3× 1.7k 1.6× 1.4k 1.6× 124 7.5k
Adrian Whitty United States 40 4.2k 0.7× 1.1k 0.6× 1.4k 1.3× 1.1k 1.1× 882 1.1× 78 6.9k
Hiroaki Suga Japan 63 11.6k 1.9× 1.3k 0.8× 2.3k 2.1× 303 0.3× 2.0k 2.4× 349 13.2k
Wei‐Chiang Shen United States 43 4.5k 0.8× 555 0.3× 351 0.3× 612 0.6× 752 0.9× 131 6.8k
John O. Trent United States 52 7.7k 1.3× 1.2k 0.7× 647 0.6× 1.1k 1.1× 333 0.4× 151 9.7k
Stephan A. Sieber Germany 50 4.9k 0.8× 978 0.6× 2.6k 2.3× 176 0.2× 357 0.4× 236 7.8k
F.F. Vajdos United States 16 4.0k 0.7× 1.1k 0.7× 331 0.3× 634 0.6× 965 1.2× 20 6.1k
Jasna Peter‐Katalinić Germany 50 5.7k 1.0× 361 0.2× 1.7k 1.5× 1.3k 1.3× 676 0.8× 226 7.8k

Countries citing papers authored by Dehua Pei

Since Specialization
Citations

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

Fields of papers citing papers by Dehua Pei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dehua Pei

This figure shows the co-authorship network connecting the top 25 collaborators of Dehua Pei. A scholar is included among the top collaborators of Dehua Pei 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 Dehua Pei. Dehua Pei 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
1.
Pei, Dehua. (2025). Endosomal Escape of Lipid Nanoparticles: A Perspective on the Literature Data. ACS Nano. 19(47). 40293–40303.
2.
Chen, Sijie, Tong Lin, Ruchira Basu, et al.. (2024). Design of target specific peptide inhibitors using generative deep learning and molecular dynamics simulations. Nature Communications. 15(1). 1611–1611. 43 indexed citations
3.
Patel, Preeti, et al.. (2024). Cell-penetrating peptides for sustainable agriculture. Trends in Plant Science. 29(10). 1131–1144. 7 indexed citations
4.
Lin, Mingqun, et al.. (2023). Inhibition of Ehrlichia chaffeensis infection by cell-permeable macrocyclic peptides that bind type IV secretion effector Etf-1. PNAS Nexus. 2(2). pgad017–pgad017. 5 indexed citations
5.
Lin, Mingqun, Qi Yan, Khemraj Budachetri, et al.. (2021). An intracellular nanobody targeting T4SS effector inhibits Ehrlichia infection. Proceedings of the National Academy of Sciences. 118(18). 28 indexed citations
6.
Dougherty, Patrick G., et al.. (2019). Designing Cell-Permeable Macrocyclic Peptides. Methods in molecular biology. 2001. 41–59. 11 indexed citations
7.
Upadhyaya, Punit, et al.. (2015). Direct Inhibitors of Ras-Effector Protein Interactions. Mini-Reviews in Medicinal Chemistry. 16(5). 376–382. 11 indexed citations
8.
Pei, Dehua, et al.. (2015). Screening One-Bead-One-Compound Peptide Libraries for Optimal Kinase Substrates. Methods in molecular biology. 1360. 169–181. 1 indexed citations
9.
Harreither, Eva, Hanna A. Rydberg, Helene L. Åmand, et al.. (2014). Identification and characterization of a novel cell penetrating peptide derived from human Oct4. Chalmers Publication Library (Chalmers University of Technology). 2 indexed citations
10.
Pei, Dehua. (2010). On-Bead Library Screening Made Easier. Chemistry & Biology. 17(1). 3–4. 10 indexed citations
11.
Liu, Tao, Yu Liu, Hung‐Ying Kao, & Dehua Pei. (2010). Membrane Permeable Cyclic Peptidyl Inhibitors against Human Peptidylprolyl Isomerase Pin1. Journal of Medicinal Chemistry. 53(6). 2494–2501. 64 indexed citations
12.
Wnuk, Stanislaw F., et al.. (2009). Inhibition of S-ribosylhomocysteinase (LuxS) by substrate analogues modified at the ribosyl C-3 position. Bioorganic & Medicinal Chemistry. 17(18). 6699–6706. 29 indexed citations
13.
Pei, Dehua & Anne‐Sophie Wavreille. (2007). Reverse interactomics: decoding protein–protein interactions with combinatorial peptide libraries. Molecular BioSystems. 3(8). 536–541. 11 indexed citations
14.
Ekici, Özlem Doǧan, et al.. (2006). Altered -3 Substrate Specificity of Escherichia coli Signal Peptidase 1 Mutants as Revealed by Screening a Combinatorial Peptide Library. Journal of Biological Chemistry. 282(1). 417–425. 16 indexed citations
15.
Nguyen, Kiet T., Xubo Hu, & Dehua Pei. (2004). Slow-binding inhibition of peptide deformylase by cyclic peptidomimetics as revealed by a new spectrophotometric assay. Bioorganic Chemistry. 32(3). 178–191. 10 indexed citations
16.
Robien, M.A., Kiet T. Nguyen, Abhinav Kumar, et al.. (2004). An improved crystal form of Plasmodium falciparum peptide deformylase. Protein Science. 13(4). 1155–1163. 21 indexed citations
17.
Zhu, Jinge, et al.. (2003). S -Ribosylhomocysteinase (LuxS) Is a Mononuclear Iron Protein. Biochemistry. 42(16). 4717–4726. 94 indexed citations
18.
Kumar, Abhinav, et al.. (2002). Crystals of Peptide Deformylase from Plasmodium falciparum Reveal Critical Characteristics of the Active Site for Drug Design. Structure. 10(3). 357–367. 37 indexed citations
19.
Wei, Yaoming, Yinfa Yan, Dehua Pei, & Bing Gong. (1998). A photoactivated prodrug. Bioorganic & Medicinal Chemistry Letters. 8(18). 2419–2422. 28 indexed citations
20.
Payne, Gillian, Lesley A. Stolz, Dehua Pei, et al.. (1994). The phosphopeptide-binding specificity of Src family SH2 domains. Chemistry & Biology. 1(2). 99–105. 30 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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