Jie Ping

5.6k total citations · 1 hit paper
56 papers, 3.8k citations indexed

About

Jie Ping is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jie Ping has authored 56 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 17 papers in Cancer Research and 13 papers in Oncology. Recurrent topics in Jie Ping's work include Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (8 papers) and Genetic Associations and Epidemiology (8 papers). Jie Ping is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Gene expression and cancer classification (8 papers) and Genetic Associations and Epidemiology (8 papers). Jie Ping collaborates with scholars based in United States, China and Sweden. Jie Ping's co-authors include Robert J. Coffey, Jeffrey L. Franklin, Qi Liu, James N. Higginbotham, Qin Zhang, Dennis K. Jeppesen, James G. Patton, Leonard H. Rome, William H. Fissell and D.C. Liebler and has published in prestigious journals such as Cell, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Jie Ping

54 papers receiving 3.8k 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.

Reassessment of Exosome Composition

2019 2.2k citations Jie Ping, Robert J. Coffey et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jie Ping United States	21	3.1k	1.6k	475	391	297	56	3.8k
Lahiru Gangoda Australia	17	3.2k 1.0×	1.6k 1.0×	864 1.8×	391 1.0×	120 0.4×	30	4.0k
Rong Xu Australia	27	4.3k 1.4×	2.5k 1.5×	801 1.7×	405 1.0×	227 0.8×	72	5.2k
Rajesha Rupaimoole United States	23	4.5k 1.4×	3.8k 2.3×	621 1.3×	731 1.9×	270 0.9×	41	6.0k
Evan Y. Yu United States	15	2.2k 0.7×	919 0.6×	333 0.7×	467 1.2×	256 0.9×	53	3.2k
Michael Liem Australia	28	2.0k 0.6×	908 0.6×	324 0.7×	172 0.4×	136 0.5×	34	3.1k
Pengcheng Bu China	26	2.1k 0.7×	1.5k 0.9×	227 0.5×	700 1.8×	165 0.6×	50	2.9k
Feng Xie China	22	2.0k 0.7×	784 0.5×	548 1.2×	458 1.2×	125 0.4×	50	2.7k
Xuan Wang China	29	2.4k 0.8×	970 0.6×	346 0.7×	792 2.0×	398 1.3×	120	4.0k
Luca Primo Italy	36	2.1k 0.7×	522 0.3×	438 0.9×	703 1.8×	335 1.1×	71	3.7k

Countries citing papers authored by Jie Ping

Since Specialization

Citations

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

Fields of papers citing papers by Jie Ping

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jie Ping

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

All Works

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20 of 20 papers shown

Shi, Jiajun, Yaohua Yang, Dan Zhou, et al.. (2025). A Transcriptome‐Wide Association Study Identifies Candidate Susceptibility Loci and Genes for Lung Cancer Risk. Cancer Medicine. 14(20). e71301–e71301.

Wen, Wanqing, Jie Ping, Qing Li, et al.. (2024). Enhancing disease risk gene discovery by integrating transcription factor-linked trans -variants into transcriptome-wide association analyses. Nucleic Acids Research. 53(1).

Jia, Guochong, Yaohua Yang, Jie Ping, et al.. (2023). Identification of target proteins for breast cancer genetic risk loci and blood risk biomarkers in a large study by integrating genomic and proteomic data. International Journal of Cancer. 152(11). 2314–2320. 5 indexed citations

Yang, Yaohua, Guochong Jia, Jie Ping, et al.. (2023). Integrating genomics and proteomics data to identify candidate plasma biomarkers for lung cancer risk among European descendants. British Journal of Cancer. 129(9). 1510–1515. 6 indexed citations

Jiang, Limin, Fei Ye, Jie Ping, et al.. (2023). Deep neural network based tissue deconvolution of circulating tumor cell RNA. Journal of Translational Medicine. 21(1). 783–783. 7 indexed citations

Guo, Xingyi, Jie Ping, Wanqing Wen, et al.. (2022). Evaluating breast cancer predisposition genes in women of African ancestry. Genetics in Medicine. 24(7). 1468–1475. 6 indexed citations

Cai, Qiuyin, et al.. (2022). The putative oncogenic role of WDTC1 in colorectal cancer. Carcinogenesis. 43(6). 594–600. 4 indexed citations

Shu, Xiang, Jie Wu, Jifeng Wang, et al.. (2021). Functional Genomic Analyses of the 21q22.3 Locus Identifying Functional Variants and Candidate Gene YBEY for Breast Cancer Risk. Cancers. 13(9). 2037–2037. 2 indexed citations

Huang, Shuya, Xiang Shu, Jie Ping, et al.. (2021). TBX1functions as a putative oncogene of breast cancer through promoting cell cycle progression. Carcinogenesis. 43(1). 12–20. 3 indexed citations

10.

Ping, Jie, Xingyi Guo, Fei Ye, et al.. (2020). Differences in gene-expression profiles in breast cancer between African and European-ancestry women. Carcinogenesis. 41(7). 887–893. 9 indexed citations

11.

Xie, Xuqin, Mo‐Jin Wang, Yuan Li, et al.. (2020). miR-124 Intensified Oxaliplatin-Based Chemotherapy by Targeting CAPN2 in Colorectal Cancer. Molecular Therapy — Oncolytics. 17. 320–331. 15 indexed citations

12.

Ping, Jie, Shuya Huang, Jie Wu, et al.. (2020). Association between lincRNA expression and overall survival for patients with triple-negative breast cancer. Breast Cancer Research and Treatment. 186(3). 769–777. 12 indexed citations

13.

Ye, Bo, Jianxin Shi, Huining Kang, et al.. (2019). Advancing Pan-cancer Gene Expression Survial Analysis by Inclusion of Non-coding RNA. RNA Biology. 17(11). 1666–1673. 20 indexed citations

14.

Ye, Fei, Quanhu Sheng, Irene D. Feurer, et al.. (2018). Directed solutions to address differences in access to liver transplantation. American Journal of Transplantation. 18(11). 2670–2678. 6 indexed citations

15.

Liu, Qi, Charles A. Herring, Quanhu Sheng, et al.. (2018). Quantitative assessment of cell population diversity in single-cell landscapes. PLoS Biology. 16(10). e2006687–e2006687. 23 indexed citations

16.

Zuo, Erwei, Xuan Yao, Xinde Hu, et al.. (2017). CRISPR/Cas9-mediated targeted chromosome elimination. Genome biology. 18(1). 224–224. 139 indexed citations

17.

Wang, Mo‐Jin, Jie Ping, Yuan Li, et al.. (2015). Prognostic Significance and Molecular Features of Colorectal Mucinous Adenocarcinomas. Medicine. 94(51). e2350–e2350. 36 indexed citations

18.

Wang, Rui, Mo‐Jin Wang, & Jie Ping. (2015). Clinicopathological Features and Survival Outcomes of Colorectal Cancer in Young Versus Elderly. Medicine. 94(35). e1402–e1402. 77 indexed citations

19.

Ping, Jie. (2011). Personalized exercises intervention for obese children in a school fitness center. Chinese Journal of School Health. 1 indexed citations

20.

Hao, Pei, Siyuan Zheng, Jie Ping, et al.. (2009). Human gene expression sensitivity according to large scale meta-analysis. BMC Bioinformatics. 10(S1). S56–S56. 9 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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