Chengyang Ji

527 total citations · 1 hit paper
16 papers, 301 citations indexed

About

Chengyang Ji is a scholar working on Infectious Diseases, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Chengyang Ji has authored 16 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 9 papers in Molecular Biology and 3 papers in Animal Science and Zoology. Recurrent topics in Chengyang Ji's work include SARS-CoV-2 and COVID-19 Research (10 papers), SARS-CoV-2 detection and testing (4 papers) and vaccines and immunoinformatics approaches (3 papers). Chengyang Ji is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (10 papers), SARS-CoV-2 detection and testing (4 papers) and vaccines and immunoinformatics approaches (3 papers). Chengyang Ji collaborates with scholars based in China, United States and United Kingdom. Chengyang Ji's co-authors include Aiping Wu, Jingzhe Shang, Genhong Cheng, Lulan Wang, Saba R. Aliyari, Hangyu Zhou, Na Han, Taijiao Jiang, Rong Yang and Xiao Ding and has published in prestigious journals such as Bioinformatics, Molecular Biology and Evolution and Cell Host & Microbe.

In The Last Decade

Chengyang Ji

15 papers receiving 295 citations

Hit Papers

align trajectories

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.

Genomic annotation and molecular evolution of monkeypox virus outbreak in 2022

2022 128 citations Lulan Wang, Jingzhe Shang et al. Journal of Medical Virology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chengyang Ji China	9	160	136	122	108	34	16	301
Jordan Anderson-Daniels United States	5	77 0.5×	182 1.3×	50 0.4×	21 0.2×	20 0.6×	6	244
Marie-Lise Blondot France	8	94 0.6×	139 1.0×	85 0.7×	245 2.3×	20 0.6×	14	361
Lama Zoé France	3	184 1.1×	82 0.6×	57 0.5×	78 0.7×	23 0.7×	3	311
Toong Seng Tan Japan	8	150 0.9×	331 2.4×	50 0.4×	35 0.3×	5 0.1×	16	412
Masanobu Kinomoto Japan	10	120 0.8×	194 1.4×	345 2.8×	128 1.2×	34 1.0×	13	452
Gordian Schudt Germany	8	99 0.6×	339 2.5×	19 0.2×	140 1.3×	19 0.6×	10	457
Sven Blokland Netherlands	5	104 0.7×	168 1.2×	53 0.4×	61 0.6×	3 0.1×	8	247
Hangchun Zhang United States	5	197 1.2×	166 1.2×	95 0.8×	131 1.2×	11 0.3×	7	501
Hongshuo Song United States	8	45 0.3×	121 0.9×	111 0.9×	53 0.5×	7 0.2×	18	222
Mujahed I. Mustafa Sudan	8	212 1.3×	161 1.2×	35 0.3×	42 0.4×	8 0.2×	20	334

Countries citing papers authored by Chengyang Ji

Since Specialization

Citations

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

Fields of papers citing papers by Chengyang Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengyang Ji

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

All Works

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16 of 16 papers shown

Zhang, Fan, Ming‐Zhi Zhang, Huijuan Cheng, et al.. (2025). Development and validation of a nomogram for a prognostic model for resected pancreatic ductal adenocarcinoma. Hepatobiliary & pancreatic diseases international. 24(6). 676–683.

Zhang, Chong, Jianxiang Shi, Kunlun Chen, et al.. (2025). Single-cell analysis reveals that GFAP+ dedifferentiated Schwann cells promote tumor progress in PNI-positive distal cholangiocarcinoma via lactate/HMGB1 axis. Cell Death and Disease. 16(1). 215–215. 3 indexed citations

Ji, Chengyang, et al.. (2024). Comprehensive detection and dissection of interlineage recombination events in the SARS-CoV-2 pandemic. Virus Evolution. 10(1). veae074–veae074. 2 indexed citations

Ji, Chengyang, et al.. (2023). Web Resources for SARS-CoV-2 Genomic Database, Annotation, Analysis and Variant Tracking. Viruses. 15(5). 1158–1158. 5 indexed citations

Ji, Chengyang, Na Han, Jingzhe Shang, et al.. (2022). sitePath: a visual tool to identify polymorphism clades and help find fixed and parallel mutations. BMC Bioinformatics. 23(1). 504–504. 3 indexed citations

Ji, Chengyang, Na Han, Jingzhe Shang, et al.. (2022). Detecting Potentially Adaptive Mutations from the Parallel and Fixed Patterns in SARS-CoV-2 Evolution. Viruses. 14(5). 1087–1087. 4 indexed citations

Ji, Chengyang, Na Han, Jiaying Li, et al.. (2022). covSampler: A subsampling method with balanced genetic diversity for large-scale SARS-CoV-2 genome data sets. Virus Evolution. 8(2). 5 indexed citations

Zhou, Hangyu, Chengyang Ji, Liang Li, et al.. (2022). Conserved Pattern and Potential Role of Recurrent Deletions in SARS-CoV-2 Evolution. Microbiology Spectrum. 10(2). e0219121–e0219121. 10 indexed citations

Wang, Lulan, Jingzhe Shang, Saba R. Aliyari, et al.. (2022). Genomic annotation and molecular evolution of monkeypox virus outbreak in 2022. Journal of Medical Virology. 95(1). e28036–e28036. 128 indexed citations breakdown →

10.

Shang, Jingzhe, et al.. (2022). Genetic differentiation and diversity of SARS-CoV-2 Omicron variant in its early outbreak. Biosafety and Health. 4(3). 171–178. 12 indexed citations

11.

Zhou, Hangyu, Lin Xu, Jiaying Li, et al.. (2022). Genomic evidence for divergent co-infections of co-circulating SARS-CoV-2 lineages. Computational and Structural Biotechnology Journal. 20. 4015–4024. 20 indexed citations

12.

Zhou, Hangyu, Chengyang Ji, Hang Fan, et al.. (2021). Convergent evolution of SARS-CoV-2 in human and animals. Protein & Cell. 12(11). 832–835. 12 indexed citations

13.

Wu, Aiping, Lulan Wang, Hangyu Zhou, et al.. (2021). One year of SARS-CoV-2 evolution. Cell Host & Microbe. 29(4). 503–507. 46 indexed citations

14.

Shang, Jingzhe, Na Han, Ziyi Chen, et al.. (2020). Compositional diversity and evolutionary pattern of coronavirus accessory proteins. Briefings in Bioinformatics. 22(2). 1267–1278. 28 indexed citations

15.

Quan, Lijun, Chengyang Ji, Xiao Ding, et al.. (2019). Cluster-Transition Determining Sites Underlying the Antigenic Evolution of Seasonal Influenza Viruses. Molecular Biology and Evolution. 36(6). 1172–1186. 12 indexed citations

16.

Chen, Ziyi, Chengyang Ji, Qin Shen, et al.. (2019). Tissue-specific deconvolution of immune cell composition by integrating bulk and single-cell transcriptomes. Bioinformatics. 36(3). 819–827. 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.

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