He‐wei Jiang

3.9k total citations
40 papers, 1.0k citations indexed

About

He‐wei Jiang is a scholar working on Molecular Biology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, He‐wei Jiang has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Infectious Diseases and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in He‐wei Jiang's work include SARS-CoV-2 and COVID-19 Research (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and vaccines and immunoinformatics approaches (6 papers). He‐wei Jiang is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (10 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and vaccines and immunoinformatics approaches (6 papers). He‐wei Jiang collaborates with scholars based in China, United States and Taiwan. He‐wei Jiang's co-authors include Sheng‐ce Tao, Huan Qi, Shujuan Guo, Qingfeng Meng, Yang Li, Jie Zhou, Xiao Yang, Wei Wang, Hua Li and Hong Chen and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

He‐wei Jiang

38 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
He‐wei Jiang China 15 556 448 165 102 94 40 1.0k
Siliang Feng China 10 769 1.4× 452 1.0× 119 0.7× 55 0.5× 57 0.6× 16 1.2k
Dhaval N. Gosalia United States 6 600 1.1× 383 0.9× 110 0.7× 73 0.7× 78 0.8× 7 1.2k
Changfa Fan China 14 1.1k 1.9× 327 0.7× 169 1.0× 99 1.0× 82 0.9× 32 1.5k
Preeti Sharma India 14 324 0.6× 381 0.9× 164 1.0× 102 1.0× 100 1.1× 45 994
Rudy Ippodrino Italy 13 606 1.1× 577 1.3× 41 0.2× 174 1.7× 90 1.0× 17 1.1k
Tatsuya Suzuki Japan 19 262 0.5× 487 1.1× 120 0.7× 99 1.0× 62 0.7× 76 1.1k
Yingming Sun China 18 479 0.9× 655 1.5× 201 1.2× 43 0.4× 49 0.5× 53 1.4k
Haiyang Qin China 9 1.5k 2.7× 504 1.1× 143 0.9× 118 1.2× 135 1.4× 16 1.8k
Mohsan Saeed United States 19 451 0.8× 322 0.7× 146 0.9× 41 0.4× 71 0.8× 44 1.1k
Chloë Roustan United Kingdom 13 1.0k 1.8× 729 1.6× 98 0.6× 45 0.4× 99 1.1× 20 1.6k

Countries citing papers authored by He‐wei Jiang

Since Specialization
Citations

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

Fields of papers citing papers by He‐wei Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by He‐wei Jiang. 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 He‐wei Jiang. The network helps show where He‐wei Jiang may publish in the future.

Co-authorship network of co-authors of He‐wei Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of He‐wei Jiang. A scholar is included among the top collaborators of He‐wei Jiang 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 He‐wei Jiang. He‐wei Jiang 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.
Chen, Keyu, et al.. (2025). Inland or Coastal? Neural and Psychological Mechanisms Underlying Consumer Preferences for Seafood Origin in E-Commerce. Journal of theoretical and applied electronic commerce research. 20(2). 106–106.
2.
3.
Cai, Jiaxin, Yang Li, Qing Lei, et al.. (2024). Developing Deep LSTMs With Later Temporal Attention for Predicting COVID-19 Severity, Clinical Outcome, and Antibody Level by Screening Serological Indicators Over Time. IEEE Journal of Biomedical and Health Informatics. 28(7). 4204–4215. 35 indexed citations
4.
Chen, Tiantian, He‐wei Jiang, Yawei Shen, et al.. (2024). Nanoplastics and chrysene pollution: Potential new triggers for nonalcoholic fatty liver disease and hepatitis, insights from juvenile Siniperca chuatsi. The Science of The Total Environment. 922. 171125–171125. 7 indexed citations
5.
6.
Shen, Yawei, Tiantian Chen, He‐wei Jiang, et al.. (2023). Identification of hub genes in digestive system of mandarin fish (Siniperca chuatsi) fed with artificial diet by weighted gene co-expression network analysis. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 47. 101112–101112. 4 indexed citations
7.
Zhang, Dongdong, Yufei Liu, Xiaodong Jiang, et al.. (2023). Comparative proteomics elucidates the potential mechanism of heritable carapace color of three strains Chinese mitten crab Eriocheir sinensis. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 48. 101119–101119. 4 indexed citations
8.
Chen, Tiantian, et al.. (2023). Impacts of exposure to nanopolystyrene and/or chrysene at ambient concentrations on neurotoxicity in Siniperca chuatsi. Chemosphere. 340. 139830–139830. 9 indexed citations
9.
Lai, Dan‐yun, Ping He, Yang Li, et al.. (2022). Ultrasensitive monitoring of SARS-CoV-2-specific antibody responses based on a digital approach reveals one week of IgG seroconversion. Biosensors and Bioelectronics. 217. 114710–114710. 2 indexed citations
10.
Wang, Xuening, Hong Chen, Yun-xiao Zheng, et al.. (2022). Identification of sitagliptin binding proteins by affinity purification mass spectrometry. Acta Biochimica et Biophysica Sinica. 54(10). 1453–1463. 4 indexed citations
11.
Chen, Lingyun, Pengfei Pang, Huan Qi, et al.. (2022). Evaluation of Spike Protein Epitopes by Assessing the Dynamics of Humoral Immune Responses in Moderate COVID-19. Frontiers in Immunology. 13. 770982–770982. 4 indexed citations
12.
Zheng, Yun-xiao, Hong Chen, Xuening Wang, et al.. (2021). Nsp2 has the potential to be a drug target revealed by global identification of SARS-CoV-2 Nsp2-interacting proteins. Acta Biochimica et Biophysica Sinica. 53(9). 1134–1141. 18 indexed citations
13.
Qi, Huan, Ming‐liang Ma, Chuansheng Hu, et al.. (2020). Antibody Binding Epitope Mapping (AbMap) of Hundred Antibodies in a Single Run. Molecular & Cellular Proteomics. 20. 100059–100059. 38 indexed citations
14.
Jiang, He‐wei, Qingfeng Meng, Yang Li, et al.. (2020). SARS-CoV-2 Orf9b suppresses type I interferon responses by targeting TOM70. Cellular and Molecular Immunology. 17(9). 998–1000. 252 indexed citations
15.
Xu, Zhaowei, Hainan Zhang, Xingrun Zhang, et al.. (2019). Interplay between the bacterial protein deacetylase CobB and the second messenger c‐di‐ GMP. The EMBO Journal. 38(18). e100948–e100948. 32 indexed citations
16.
Jiang, He‐wei, Daniel M. Czajkowsky, Tao Wang, et al.. (2018). Identification of Serine 119 as an Effective Inhibitor Binding Site of M. tuberculosis Ubiquitin-like Protein Ligase PafA Using Purified Proteins and M. smegmatis. EBioMedicine. 30. 225–236. 8 indexed citations
17.
Zhang, Hainan, Zhaowei Xu, He‐wei Jiang, et al.. (2017). Cyclic di-GMP regulates Mycobacterium tuberculosis resistance to ethionamide. Scientific Reports. 7(1). 5860–5860. 33 indexed citations
18.
He, Xianghuo, He‐wei Jiang, Hong Chen, et al.. (2017). Systematic Identification of Mycobacterium tuberculosis Effectors Reveals that BfrB Suppresses Innate Immunity. Molecular & Cellular Proteomics. 16(12). 2243–2253. 15 indexed citations
19.
Chen, Chien‐Sheng, Chengxi Liu, He‐wei Jiang, et al.. (2015). YcgC represents a new protein deacetylase family in prokaryotes. eLife. 4. 45 indexed citations
20.
Jiang, He‐wei, et al.. (2012). Global Identification of Prokaryotic Glycoproteins Based on an Escherichia coli Proteome Microarray. PLoS ONE. 7(11). e49080–e49080. 8 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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