Kong De

2.2k total citations · 1 hit paper
94 papers, 1.6k citations indexed

About

Kong De is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Kong De has authored 94 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 26 papers in Computational Theory and Mathematics and 16 papers in Organic Chemistry. Recurrent topics in Kong De's work include Computational Drug Discovery Methods (26 papers), Plant biochemistry and biosynthesis (8 papers) and Microbial Natural Products and Biosynthesis (5 papers). Kong De is often cited by papers focused on Computational Drug Discovery Methods (26 papers), Plant biochemistry and biosynthesis (8 papers) and Microbial Natural Products and Biosynthesis (5 papers). Kong De collaborates with scholars based in China, United States and Brazil. Kong De's co-authors include Yanqun Li, Hong Wu, Hongyu Zhang, Xuejuan Li, Takao Yamori, Ling‐Ling Chen, Hong Wu, Rongshao Huang, Man‐Qun Wang and Dongzhen Li and has published in prestigious journals such as Nature Communications, Bioinformatics and Analytical Chemistry.

In The Last Decade

Kong De

88 papers receiving 1.6k citations

Hit Papers

Analysis and evaluation of essential oil components of ci... 2012 2026 2016 2021 2012 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Analysis and evaluation of essential oil components of cinnamon barks using GC–MS and FTIR spectroscopy
    2012 376 citations Kong De et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kong De China 20 673 277 259 225 218 94 1.6k
Marcus Tullius Scotti Brazil 25 713 1.1× 166 0.6× 315 1.2× 403 1.8× 292 1.3× 175 2.0k
Matej Sova Slovenia 24 1.1k 1.6× 287 1.0× 287 1.1× 181 0.8× 277 1.3× 53 2.3k
C. Sadasivan India 22 634 0.9× 224 0.8× 357 1.4× 212 0.9× 290 1.3× 84 1.7k
João Xavier de Araújo‐Júnior Brazil 25 554 0.8× 219 0.8× 280 1.1× 128 0.6× 152 0.7× 104 1.8k
Yuhao Ren China 16 406 0.6× 210 0.8× 352 1.4× 103 0.5× 494 2.3× 38 1.4k
E.S. Salmina Germany 7 424 0.6× 142 0.5× 201 0.8× 240 1.1× 115 0.5× 8 1.2k
Giuseppe Fracchiolla Italy 26 958 1.4× 263 0.9× 159 0.6× 93 0.4× 169 0.8× 74 1.7k
Abuzer Ali Saudi Arabia 22 420 0.6× 176 0.6× 236 0.9× 112 0.5× 168 0.8× 121 1.5k
Emmanuel Silva Marinho Brazil 20 564 0.8× 178 0.6× 171 0.7× 223 1.0× 152 0.7× 208 1.6k
Jonathan Bisson United States 22 1.4k 2.1× 268 1.0× 413 1.6× 205 0.9× 574 2.6× 42 3.2k

Countries citing papers authored by Kong De

Since Specialization
Citations

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

Fields of papers citing papers by Kong De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kong De

This figure shows the co-authorship network connecting the top 25 collaborators of Kong De. A scholar is included among the top collaborators of Kong De 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 Kong De. Kong De 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.
Liu, Rui, Liping Wu, Yingying Du, et al.. (2025). M2e/NP Dual Epitope-Displaying Nanoparticles Enhance Cross-Protection of Recombinant HA Influenza Vaccine: A Universal Boosting Strategy. Vaccines. 13(4). 412–412. 1 indexed citations
2.
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Liu, Yi, et al.. (2024). Time-Dependent Comparison of the Structural Variations of Natural Products and Synthetic Compounds. International Journal of Molecular Sciences. 25(21). 11475–11475. 1 indexed citations
4.
Sun, Jia, Donghui Liu, Lijuan Gui, et al.. (2023). Developing a Two-Photon “AND” Logic Probe and Its Application in Alzheimer’s Disease Differentiation. Analytical Chemistry. 95(46). 16868–16876. 25 indexed citations
5.
Liu, Yi, et al.. (2023). A chemoinformatic analysis on natural glycosides with respect to biological origin and structural class. Natural Product Reports. 40(9). 1464–1478. 11 indexed citations
6.
Zhao, Yuxin, et al.. (2023). Conformational plasticity of SpyCas9 induced by AcrIIA4 and AcrIIA2: Insights from molecular dynamics simulation. Computational and Structural Biotechnology Journal. 23. 537–548. 4 indexed citations
7.
Liu, Yi, et al.. (2023). Binding Mechanism of CD47 with SIRPα Variants and Its Antibody: Elucidated by Molecular Dynamics Simulations. Molecules. 28(12). 4610–4610. 2 indexed citations
8.
Wang, Yucheng, et al.. (2023). Sequence variety in the CC’ loop of Siglec-8/9/3 determines the recognitions to sulfated oligosaccharides. Computational and Structural Biotechnology Journal. 21. 4159–4171. 1 indexed citations
9.
Wang, Dong, Chao Shen, Hao Luo, et al.. (2022). Learning with uncertainty to accelerate the discovery of histone lysine-specific demethylase 1A (KDM1A/LSD1) inhibitors. Briefings in Bioinformatics. 24(1). 5 indexed citations
10.
11.
Wang, Dong, et al.. (2019). Novel C7-Substituted Coumarins as Selective Monoamine Oxidase Inhibitors: Discovery, Synthesis and Theoretical Simulation. Molecules. 24(21). 4003–4003. 10 indexed citations
12.
Sun, Jun, et al.. (2018). Integrating Multifaceted Information to Predict Mycobacterium tuberculosis-Human Protein-Protein Interactions. Journal of Proteome Research. 17(11). 3810–3823. 6 indexed citations
13.
De, Kong. (2015). Nanoindentation analysis of TiN,TiAlN,and TiAlSiN coatings prepared by cathode ion plating. 1 indexed citations
14.
De, Kong. (2013). Development of an Indirect Competitive Chemiluminescence Enzyme-linked Immunoassay for Parathion. CHINESE JOURNAL OF ANALYTICAL CHEMISTRY (CHINESE VERSION). 1 indexed citations
15.
De, Kong. (2013). Mineralogical characteristics of metallic minerals in Yuerya gold deposit of eastern Hebei Province and their combination significance. Mineralium Deposita. 7 indexed citations
16.
De, Kong. (2009). in situ FTIR Spectroscopic Studies of Adsorption and Oxidation of L-Serine on Pt Electrodes in Neutral Solutions. Gaodeng xuexiao huaxue xuebao.
17.
De, Kong. (2000). Improvement of Measuring Bulk Density of Powder and Its Application. 3 indexed citations
18.
Dinda, Biswanath, et al.. (1999). Chemical Constituents of Plumbago indica roots and reactions of plumbagin: Part II. Indian Journal of Chemistry Section B-organic Chemistry Including Medicinal Chemistry. 38(5). 577–582. 12 indexed citations
19.
De, Kong. (1990). STUDIES ON CHEMICAL CONSTITUENTS OF ACANTHOPANAX GIRALDII HARMS. Chinese Journal of Pharmaceuticals. 3 indexed citations
20.
De, Kong. (1989). STUDIES ON CHEMICAL COMPONENTS OF VISCUM COLORATUM.V. Chinese Journal of Pharmaceuticals. 4 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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