Fanwang Meng

658 total citations
23 papers, 431 citations indexed

About

Fanwang Meng is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Fanwang Meng has authored 23 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 3 papers in Materials Chemistry. Recurrent topics in Fanwang Meng's work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (3 papers) and Machine Learning in Materials Science (3 papers). Fanwang Meng is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (3 papers) and Machine Learning in Materials Science (3 papers). Fanwang Meng collaborates with scholars based in China, Canada and United States. Fanwang Meng's co-authors include Cheng Luo, Paul W. Ayers, Jinfeng Huang, Zhongjie Liang, Kehao Zhao, M. G. Richer, Taewon David Kim, Farnaz Heidar‐Zadeh, Wei Yan and Xinyi Wang and has published in prestigious journals such as Journal of Medicinal Chemistry, Expert Systems with Applications and Molecules.

In The Last Decade

Fanwang Meng

22 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fanwang Meng China 13 256 86 59 49 46 23 431
Kalaimathy Singaravelu Finland 8 288 1.1× 153 1.8× 75 1.3× 52 1.1× 40 0.9× 17 527
Billy J. Williams‐Noonan Australia 11 272 1.1× 152 1.8× 61 1.0× 65 1.3× 28 0.6× 15 464
Sonya M. Hanson United States 14 337 1.3× 63 0.7× 19 0.3× 57 1.2× 35 0.8× 32 564
Jingxuan Zhu China 12 309 1.2× 69 0.8× 42 0.7× 35 0.7× 29 0.6× 27 513
Stefan Gahbauer United States 7 425 1.7× 190 2.2× 64 1.1× 50 1.0× 61 1.3× 10 591
Daisuke Takaya Japan 14 306 1.2× 144 1.7× 53 0.9× 90 1.8× 21 0.5× 29 447
Hugo Guterres United States 10 433 1.7× 159 1.8× 48 0.8× 92 1.9× 52 1.1× 14 571
Beihong Ji United States 12 360 1.4× 169 2.0× 32 0.5× 65 1.3× 23 0.5× 33 507
Eleonora Gianti United States 13 217 0.8× 53 0.6× 28 0.5× 21 0.4× 32 0.7× 20 388
Jerome P. Nilmeier United States 9 305 1.2× 107 1.2× 43 0.7× 65 1.3× 44 1.0× 11 462

Countries citing papers authored by Fanwang Meng

Since Specialization
Citations

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

Fields of papers citing papers by Fanwang Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanwang Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Fanwang Meng. A scholar is included among the top collaborators of Fanwang Meng 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 Fanwang Meng. Fanwang Meng 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.
Richer, Michelle, et al.. (2025). AtomDB: A Python Library and Database for Atomic and Promolecular Properties. The Journal of Physical Chemistry A. 129(10). 2598–2611. 1 indexed citations
2.
Ai, Qianxiang, et al.. (2024). Schedule optimization for chemical library synthesis. Digital Discovery. 4(2). 486–499. 4 indexed citations
3.
Ai, Qianxiang, et al.. (2024). Extracting structured data from organic synthesis procedures using a fine-tuned large language model. Digital Discovery. 3(9). 1822–1831. 14 indexed citations
4.
Zhu, Fei, Lei Deng, Guangyu Zhang, et al.. (2023). PPICT: an integrated deep neural network for predicting inter-protein PTM cross-talk. Briefings in Bioinformatics. 24(2). 6 indexed citations
5.
Meng, Fanwang, et al.. (2023). Something for nothing: improved solvation free energy prediction with $${\Delta }$$-learning. Theoretical Chemistry Accounts. 142(10). 2 indexed citations
6.
Zhu, Fei, Fanwang Meng, Xin Ku, et al.. (2022). Leveraging Protein Dynamics to Identify Functional Phosphorylation Sites using Deep Learning Models. Journal of Chemical Information and Modeling. 62(14). 3331–3345. 13 indexed citations
7.
Meng, Fanwang, et al.. (2022). Procrustes: A python library to find transformations that maximize the similarity between matrices. Computer Physics Communications. 276. 108334–108334. 19 indexed citations
8.
Deng, Lei, et al.. (2022). Prediction of post-translational modification cross-talk and mutation within proteins via imbalanced learning. Expert Systems with Applications. 211. 118593–118593. 3 indexed citations
9.
Li, Hai, et al.. (2021). Low-altitude Wind-shear Wind Speed Estimation Based on Improved Auxiliary Channel. 2021 CIE International Conference on Radar (Radar). 37. 3112–3116.
10.
Meng, Fanwang, et al.. (2021). A curated diverse molecular database of blood-brain barrier permeability with chemical descriptors. Scientific Data. 8(1). 289–289. 74 indexed citations
11.
Wang, Yu, et al.. (2021). A weather signal detection algorithm based on EVD in elevation for airborne weather radar. Digital Signal Processing. 116. 103118–103118. 4 indexed citations
12.
Verstraelen, Toon, William Adams, Fanwang Meng, et al.. (2020). IOData: A python library for reading, writing, and converting computational chemistry file formats and generating input files. Journal of Computational Chemistry. 42(6). 458–464. 36 indexed citations
13.
Meng, Fanwang, Zhongjie Liang, Kehao Zhao, & Cheng Luo. (2020). Drug design targeting active posttranslational modification protein isoforms. Medicinal Research Reviews. 41(3). 1701–1750. 40 indexed citations
14.
Guo, Dandan, Yue Gao, Fei Liu, et al.. (2019). Integrating molecular characterization and metabolites profile revealed CtCHI1’s significant role in Carthamus tinctorius L.. BMC Plant Biology. 19(1). 376–376. 14 indexed citations
15.
16.
17.
Chen, Shijie, Linjuan Li, Yantao Chen, et al.. (2016). Identification of Novel Disruptor of Telomeric Silencing 1-like (DOT1L) Inhibitors through Structure-Based Virtual Screening and Biological Assays. Journal of Chemical Information and Modeling. 56(3). 527–534. 28 indexed citations
18.
Li, Jinlong, Lixin Gao, Fanwang Meng, et al.. (2015). PTP1B inhibitors from stems of Angelica keiskei (Ashitaba). Bioorganic & Medicinal Chemistry Letters. 25(10). 2028–2032. 25 indexed citations
19.
Meng, Fanwang, Hong Ding, Shien Liu, et al.. (2015). Discovery and Optimization of Novel, Selective Histone Methyltransferase SET7 Inhibitors by Pharmacophore- and Docking-Based Virtual Screening. Journal of Medicinal Chemistry. 58(20). 8166–8181. 54 indexed citations
20.
Meng, Fanwang, Fang Geng, Qi Meng, et al.. (2015). Plantadeprate A, a Tricyclic Monoterpene Zwitterionic Guanidium, and Related Derivatives from the Seeds of Plantago depressa. Journal of Natural Products. 78(11). 2822–2826. 11 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kalaimathy Singaravelu Breakdown of academic impact, for papers by Billy J. Williams‐Noonan Breakdown of academic impact, for papers by Sonya M. Hanson Breakdown of academic impact, for papers by Jingxuan Zhu Breakdown of academic impact, for papers by Stefan Gahbauer Breakdown of academic impact, for papers by Daisuke Takaya Breakdown of academic impact, for papers by Hugo Guterres Breakdown of academic impact, for papers by Beihong Ji Breakdown of academic impact, for papers by Eleonora Gianti Breakdown of academic impact, for papers by Jerome P. Nilmeier
Rankless by CCL
2026