Fanchi Meng

1.0k total citations
11 papers, 515 citations indexed

About

Fanchi Meng is a scholar working on Molecular Biology, Materials Chemistry and Infectious Diseases. According to data from OpenAlex, Fanchi Meng has authored 11 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Materials Chemistry and 1 paper in Infectious Diseases. Recurrent topics in Fanchi Meng's work include Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (4 papers) and Machine Learning in Bioinformatics (3 papers). Fanchi Meng is often cited by papers focused on Protein Structure and Dynamics (7 papers), Enzyme Structure and Function (4 papers) and Machine Learning in Bioinformatics (3 papers). Fanchi Meng collaborates with scholars based in United States, Canada and Russia. Fanchi Meng's co-authors include Lukasz Kurgan, Vladimir N. Uversky, Raied Badierah, Elrashdy M. Redwan, Hussein A. Almehdar, Chen Wang, Hong Yan, Henry J. Donahue and Graeme Murray and has published in prestigious journals such as Bioinformatics, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Fanchi Meng

11 papers receiving 510 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fanchi Meng United States	11	443	132	37	35	35	11	515
P. McNeil United Kingdom	3	460 1.0×	126 1.0×	38 1.0×	23 0.7×	20 0.6×	4	558
Zeynep Kurkcuoglu Türkiye	11	337 0.8×	111 0.8×	30 0.8×	72 2.1×	12 0.3×	15	414
Carlos Madrid-Aliste United States	13	368 0.8×	72 0.5×	44 1.2×	39 1.1×	26 0.7×	19	607
Saikat Chakrabarti India	13	423 1.0×	49 0.4×	18 0.5×	52 1.5×	29 0.8×	33	503
Guang Qiang Dong Canada	7	304 0.7×	58 0.4×	18 0.5×	62 1.8×	14 0.4×	9	411
Jianzhao Gao China	16	750 1.7×	150 1.1×	29 0.8×	146 4.2×	15 0.4×	35	875
Dariya K. Sydykova United States	6	395 0.9×	73 0.6×	44 1.2×	38 1.1×	11 0.3×	7	491
Parin Sripakdeevong United States	5	440 1.0×	69 0.5×	24 0.6×	19 0.5×	9 0.3×	7	543
Joana Pereira Germany	11	445 1.0×	174 1.3×	32 0.9×	44 1.3×	6 0.2×	25	560
Yannick G. Spill France	10	405 0.9×	54 0.4×	17 0.5×	39 1.1×	10 0.3×	13	489

Countries citing papers authored by Fanchi Meng

Since Specialization

Citations

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

Fields of papers citing papers by Fanchi Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fanchi Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Fanchi Meng. A scholar is included among the top collaborators of Fanchi 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 Fanchi Meng. Fanchi Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Meng, Fanchi, Graeme Murray, Lukasz Kurgan, & Henry J. Donahue. (2018). Functional and structural characterization of osteocytic MLO-Y4 cell proteins encoded by genes differentially expressed in response to mechanical signals in vitro. Scientific Reports. 8(1). 6716–6716. 11 indexed citations

Meng, Fanchi & Lukasz Kurgan. (2018). High‐throughput prediction of disordered moonlighting regions in protein sequences. Proteins Structure Function and Bioinformatics. 86(10). 1097–1110. 25 indexed citations

Meng, Fanchi, Vladimir N. Uversky, & Lukasz Kurgan. (2017). Comprehensive review of methods for prediction of intrinsic disorder and its molecular functions. Cellular and Molecular Life Sciences. 74(17). 3069–3090. 140 indexed citations

Meng, Fanchi, Chen Wang, & Lukasz Kurgan. (2017). fDETECT webserver: fast predictor of propensity for protein production, purification, and crystallization. BMC Bioinformatics. 18(1). 580–580. 20 indexed citations

Meng, Fanchi, Vladimir N. Uversky, & Lukasz Kurgan. (2017). Computational Prediction of Intrinsic Disorder in Proteins. Current Protocols in Protein Science. 88(1). 2.16.1–2.16.14. 49 indexed citations

Meng, Fanchi, et al.. (2016). Autophagy-related intrinsically disordered proteins in intra-nuclear compartments. Molecular BioSystems. 12(9). 2798–2817. 22 indexed citations

Meng, Fanchi & Lukasz Kurgan. (2016). DFLpred: High-throughput prediction of disordered flexible linker regions in protein sequences. Bioinformatics. 32(12). i341–i350. 65 indexed citations

Meng, Fanchi & Lukasz Kurgan. (2016). Computational Prediction of Protein Secondary Structure from Sequence. Current Protocols in Protein Science. 86(1). 2.3.1–2.3.10. 13 indexed citations

Meng, Fanchi, Raied Badierah, Hussein A. Almehdar, et al.. (2015). Unstructural biology of the dengue virus proteins. FEBS Journal. 282(17). 3368–3394. 58 indexed citations

10.

Meng, Fanchi, et al.. (2015). Compartmentalization and Functionality of Nuclear Disorder: Intrinsic Disorder and Protein-Protein Interactions in Intra-Nuclear Compartments. International Journal of Molecular Sciences. 17(1). 24–24. 92 indexed citations

11.

Meng, Fanchi, et al.. (2013). A Bicluster-Based Bayesian Principal Component Analysis Method for Microarray Missing Value Estimation. IEEE Journal of Biomedical and Health Informatics. 18(3). 863–871. 20 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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