Wei Jin

3.4k total citations · 1 hit paper
75 papers, 2.6k citations indexed

About

Wei Jin is a scholar working on Molecular Biology, Cancer Research and Software. According to data from OpenAlex, Wei Jin has authored 75 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 15 papers in Cancer Research and 13 papers in Software. Recurrent topics in Wei Jin's work include Software Testing and Debugging Techniques (13 papers), Software Engineering Research (11 papers) and MicroRNA in disease regulation (9 papers). Wei Jin is often cited by papers focused on Software Testing and Debugging Techniques (13 papers), Software Engineering Research (11 papers) and MicroRNA in disease regulation (9 papers). Wei Jin collaborates with scholars based in China, United States and United Kingdom. Wei Jin's co-authors include Alessandro Orso, Rebecca M. Riley, Greg Gibson, Kun Cheng, Kevin P. White, Russell D. Wolfinger, Ashutosh Barve, Qinxue Hu, Xiang Fei and Yan Song and has published in prestigious journals such as Nature Genetics, The Journal of Immunology and Scientific Reports.

In The Last Decade

Wei Jin

73 papers receiving 2.6k citations

Hit Papers

The contributions of sex, genotype and age to transcripti... 2001 2026 2009 2017 2001 100 200 300 400 500
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.

  1. The contributions of sex, genotype and age to transcriptional variance in Drosophila melanogaster
    2001 521 citations Wei Jin et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Jin China 29 1.3k 383 332 321 309 75 2.6k
Étienne Gagnon Canada 23 1.4k 1.1× 147 0.4× 450 1.4× 115 0.4× 1.7k 5.5× 42 4.4k
Guangpu Li United States 32 2.0k 1.5× 82 0.2× 46 0.1× 173 0.5× 234 0.8× 94 3.4k
Michael B. Feldman United States 21 782 0.6× 80 0.2× 34 0.1× 252 0.8× 417 1.3× 85 1.9k
Fuxiang Chen China 25 1.3k 1.0× 559 1.5× 20 0.1× 145 0.5× 544 1.8× 102 2.4k
Gargi Dasgupta United States 26 932 0.7× 97 0.3× 13 0.0× 88 0.3× 533 1.7× 60 2.4k
Andrew P. Rice United States 43 3.4k 2.6× 462 1.2× 39 0.1× 622 1.9× 1.7k 5.6× 106 6.0k
Claudio Lottaz Germany 21 1.6k 1.2× 435 1.1× 21 0.1× 377 1.2× 658 2.1× 33 3.0k
Michael D. Bond United States 30 596 0.4× 114 0.3× 384 1.2× 75 0.2× 114 0.4× 88 2.3k
Georg Schneider Austria 17 1.7k 1.3× 182 0.5× 10 0.0× 697 2.2× 152 0.5× 34 2.9k
Wenxin Zheng United States 30 1.4k 1.1× 309 0.8× 16 0.0× 252 0.8× 963 3.1× 56 2.9k

Countries citing papers authored by Wei Jin

Since Specialization
Citations

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

Fields of papers citing papers by Wei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Jin. A scholar is included among the top collaborators of Wei Jin 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 Wei Jin. Wei Jin 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.
Jin, Wei, et al.. (2025). Influence of curve location and type of adolescent idiopathic scoliosis on static and dynamic plantar pressure. Gait & Posture. 119. 39–47. 1 indexed citations
2.
Wang, Ying, Linlong Wang, Hanke Li, et al.. (2024). Burden evaluation and prediction of osteoarthritis and site-specific osteoarthritis coupled with attributable risk factors in China from 1990 to 2030. Clinical Rheumatology. 43(6). 2061–2077. 10 indexed citations
3.
Han, Xuebing, Xiangdong Hu, Wei Jin, & Gang Liu. (2024). Dietary nutrition, intestinal microbiota dysbiosis and post-weaning diarrhea in piglets. Animal nutrition. 17. 188–207. 27 indexed citations
4.
Jin, Wei, Xiang Fei, Xia Wang, Fangjie Chen, & Yan Song. (2020). Circulating miRNAs as Biomarkers for Prostate Cancer Diagnosis in Subjects with Benign Prostatic Hyperplasia. Journal of Immunology Research. 2020(1). 5873056–5873056. 23 indexed citations
5.
Jin, Wei, Xiang Fei, Xia Wang, Yan Song, & Fangjie Chen. (2020). Detection and Prognosis of Prostate Cancer Using Blood-Based Biomarkers. Mediators of Inflammation. 2020. 1–11. 23 indexed citations
6.
Yang, Haojie, Hongcheng Lin, Hua Liu, et al.. (2020). A 6 lncRNA-Based Risk Score System for Predicting the Recurrence of Colon Adenocarcinoma Patients. Frontiers in Oncology. 10. 81–81. 21 indexed citations
7.
Shan, Yunlong, Yuan Gao, Wei Jin, et al.. (2019). Targeting HIBCH to reprogram valine metabolism for the treatment of colorectal cancer. Cell Death and Disease. 10(8). 618–618. 33 indexed citations
8.
Liu, Hao, Zhen Zhao, Li Zhang, et al.. (2019). Discovery of low-molecular weight anti-PD-L1 peptides for cancer immunotherapy. Journal for ImmunoTherapy of Cancer. 7(1). 270–270. 104 indexed citations
9.
Wang, Kefeng, et al.. (2017). miR-211-5p Suppresses Metastatic Behavior by Targeting SNAI1 in Renal Cancer. Molecular Cancer Research. 15(4). 448–456. 41 indexed citations
10.
11.
Zhao, Zhen, Yuanke Li, Akshay Jain, et al.. (2017). Development of a peptide-modified siRNA nanocomplex for hepatic stellate cells. Nanomedicine Nanotechnology Biology and Medicine. 14(1). 51–61. 44 indexed citations
12.
13.
Jin, Wei, Bin Qin, Zhijin Chen, et al.. (2016). Discovery of PSMA-specific peptide ligands for targeted drug delivery. International Journal of Pharmaceutics. 513(1-2). 138–147. 43 indexed citations
14.
Jin, Wei, Jian Peng, & Siwen Jiang. (2016). The epigenetic regulation of embryonic myogenesis and adult muscle regeneration by histone methylation modification. Biochemistry and Biophysics Reports. 6. 209–219. 46 indexed citations
15.
Jin, Wei. (2013). Reproducing and debugging field failures in house. International Conference on Software Engineering. 1441–1443. 1 indexed citations
16.
Jin, Wei & Alessandro Orso. (2012). BugRedux: reproducing field failures for in-house debugging. International Conference on Software Engineering. 474–484. 106 indexed citations
17.
Zhang, Yi, et al.. (2012). Effects of baicalein on apoptosis, cell cycle arrest, migration and invasion of osteosarcoma cells. Food and Chemical Toxicology. 53. 325–333. 61 indexed citations
18.
Tsankov, Petar, Wei Jin, Alessandro Orso, & Saurabh Sinha. (2011). Execution Hijacking: Improving Dynamic Analysis by Flying off Course. 200–209. 10 indexed citations
19.
Jin, Wei. (2009). Study on Classification of Complex Diseases in Uygur Medicine and Its Prethrombotic State. Zhongguo zhongyiyao xinxi zazhi. 2 indexed citations
20.
Cai, Lin, et al.. (2009). Polybutylcyanoacrylate magnetic nanoparticles as carriers of adriamycin. Journal of drug targeting. 17(3). 200–206. 3 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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