Cong Cai

1.4k total citations
63 papers, 1.0k citations indexed

About

Cong Cai is a scholar working on Molecular Biology, Materials Chemistry and Mechanics of Materials. According to data from OpenAlex, Cong Cai has authored 63 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Materials Chemistry and 6 papers in Mechanics of Materials. Recurrent topics in Cong Cai's work include Machine Learning in Bioinformatics (6 papers), Bone Metabolism and Diseases (6 papers) and RNA and protein synthesis mechanisms (5 papers). Cong Cai is often cited by papers focused on Machine Learning in Bioinformatics (6 papers), Bone Metabolism and Diseases (6 papers) and RNA and protein synthesis mechanisms (5 papers). Cong Cai collaborates with scholars based in China, Singapore and United States. Cong Cai's co-authors include Yu Chen, Lianyi Han, Ji Zhang, Maxey C. M. Chung, Siaw Ling Lo, Jun Xiao, Changyu Liu, Hanfeng Guan, Libo Zhao and Juan Cui and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Cong Cai

59 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Cai China 17 521 110 97 70 55 63 1.0k
Yixiao Chen China 18 423 0.8× 206 1.9× 87 0.9× 53 0.8× 28 0.5× 76 1.4k
Yimin Liu China 18 445 0.9× 158 1.4× 15 0.2× 68 1.0× 17 0.3× 47 889
Yongkang Zhang China 19 188 0.4× 169 1.5× 19 0.2× 54 0.8× 49 0.9× 73 934
Yanqun Wang China 19 623 1.2× 135 1.2× 17 0.2× 139 2.0× 54 1.0× 75 1.2k
Omid Bavi Iran 18 399 0.8× 105 1.0× 43 0.4× 235 3.4× 17 0.3× 53 908
Xiaohua Hu China 22 505 1.0× 231 2.1× 22 0.2× 262 3.7× 6 0.1× 76 1.4k
Akiko Kato Japan 22 207 0.4× 133 1.2× 101 1.0× 222 3.2× 22 0.4× 92 1.4k
Hailin Chen China 20 601 1.2× 234 2.1× 210 2.2× 23 0.3× 6 0.1× 66 1.2k
William W. van Osdol United States 15 430 0.8× 94 0.9× 52 0.5× 81 1.2× 8 0.1× 22 881

Countries citing papers authored by Cong Cai

Since Specialization
Citations

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

Fields of papers citing papers by Cong Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Cai. A scholar is included among the top collaborators of Cong Cai 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 Cong Cai. Cong Cai 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.
Wang, Zhengguo, K. K. He, Shuang Jiang, et al.. (2025). Development of a blocking ELISA to evaluate the neutralizing antibody level against canine distemper virus and identification of novel spatial conformation epitopes. International Journal of Biological Macromolecules. 319(Pt 3). 145622–145622.
2.
Cai, Cong, Jiawei Jiang, Song Li, et al.. (2025). PKM2 regulates osteoclastogenesis by affecting osteoclast precursor cell fusion via downregulation of OC-STAMP and DC-STAMP. Journal of Biological Chemistry. 301(5). 108439–108439. 1 indexed citations
3.
Li, Le, et al.. (2024). Constructing multi-layer Ti3C2Tx/rGO heterojunctions: Synergistic effect and unique lubrication mechanism. Carbon. 224. 119057–119057. 16 indexed citations
4.
Gao, Jiewei, et al.. (2024). Influence of laminar plasma surface quenching on the microstructure and corrosion resistance of AISI 52100 bearing steel. Materials Letters. 372. 136954–136954. 1 indexed citations
5.
Dong, Yixin, Cong Cai, Meilin Liu, Lei Liu, & Feng Zhou. (2024). Improvement and prognosis of anxiety and depression after total knee arthroplasty. Acta Orthopaedica Belgica. 90(2). 211–216. 1 indexed citations
6.
Cai, Cong, Jian Li, & Qingyu Su. (2023). Secondary Restoration of Islanded AC Microgrids under Neural Inverse Optimal Control with Genetic Algorithm. 295–300. 2 indexed citations
7.
Lian, Zheng, Bin Liu, Ying Li, et al.. (2023). EmotionNAS: Two-stream Neural Architecture Search for Speech Emotion Recognition. 3597–3601. 5 indexed citations
8.
Cai, Cong, et al.. (2022). End-to-End Network Based on Transformer for Automatic Detection of Covid-19. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 9082–9086. 2 indexed citations
9.
Xie, Donghua, Ming Lei, Cong Cai, et al.. (2022). The application of indocyanine green in guiding prostate cancer treatment. Asian journal of urology. 10(1). 1–8. 5 indexed citations
10.
Luo, Jiawei, Yanan Li, He Wang, et al.. (2020). Possible unconventional two-band superconductivity in MoTe2. Physical review. B.. 102(6). 13 indexed citations
11.
Chen, L., et al.. (2020). Isostructural Spin-Density-Wave and Superconducting Gap Anisotropies in Iron-Arsenide Superconductors. Physical Review Letters. 124(24). 247002–247002. 2 indexed citations
12.
Cai, Cong, Lijuan Wang, Junyu Wang, & Zhiqiang Wang. (2019). The 10–20 d Low-Frequency Oscillation Characteristics of Summer Precipitation in Eastern China in the Decaying Year of CP ENSO. Atmosphere. 10(10). 616–616. 1 indexed citations
13.
Cai, Cong, et al.. (2019). Construction of a mavs-inactivated MDCK cell line for facilitating the propagation of canine distemper virus (CDV). Molecular Immunology. 114. 133–138. 3 indexed citations
14.
Liu, Hui, Yonghui Dong, Yutong Gao, et al.. (2018). Hesperetin suppresses RANKL‐induced osteoclastogenesis and ameliorates lipopolysaccharide‐induced bone loss. Journal of Cellular Physiology. 234(7). 11009–11022. 38 indexed citations
15.
Zhao, Liming, Hanfeng Guan, Chao Song, et al.. (2018). YAP1 is essential for osteoclastogenesis through a TEADs-dependent mechanism. Bone. 110. 177–186. 51 indexed citations
16.
Cai, Cong, Changyu Liu, Liming Zhao, et al.. (2018). Effects of Taxifolin on Osteoclastogenesis in vitro and in vivo. Frontiers in Pharmacology. 9. 1286–1286. 61 indexed citations
17.
Wang, Xiaoping, Jianqing Zhao, Cong Cai, et al.. (2018). A Label-Free Quantitative Proteomic Analysis of Mouse Neutrophil Extracellular Trap Formation Induced by Streptococcus suis or Phorbol Myristate Acetate (PMA). Frontiers in Immunology. 9. 2615–2615. 9 indexed citations
18.
Zhu, Rui & Cong Cai. (2017). Fano resonance via quasibound states in time-dependent three-band pseudospin-1 Dirac-Weyl systems. Journal of Applied Physics. 122(12). 5 indexed citations
19.
Lo, Siaw Ling, Cong Cai, Yu Chen, & Maxey C. M. Chung. (2005). Effect of training datasets on support vector machine prediction of protein‐protein interactions. PROTEOMICS. 5(4). 876–884. 56 indexed citations
20.
Han, Lianyi, Cong Cai, Siaw Ling Lo, Maxey C. M. Chung, & Yu Chen. (2004). Prediction of RNA-binding proteins from primary sequence by a support vector machine approach. RNA. 10(3). 355–368. 105 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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