Liren Jiang

563 total citations
25 papers, 307 citations indexed

About

Liren Jiang is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Liren Jiang has authored 25 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 9 papers in Oncology and 8 papers in Molecular Biology. Recurrent topics in Liren Jiang's work include Renal cell carcinoma treatment (8 papers), Epigenetics and DNA Methylation (4 papers) and AI in cancer detection (4 papers). Liren Jiang is often cited by papers focused on Renal cell carcinoma treatment (8 papers), Epigenetics and DNA Methylation (4 papers) and AI in cancer detection (4 papers). Liren Jiang collaborates with scholars based in China, Sweden and Thailand. Liren Jiang's co-authors include Joanna Zawacka‐Pankau, Siteng Chen, Junhua Zheng, Xiang Wang, Encheng Zhang, Ning Zhang, Feng Gao, Tao Wang, Jialiang Shao and Pilar Acedo and has published in prestigious journals such as Cancer, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

Liren Jiang

23 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liren Jiang China 10 106 106 105 96 60 25 307
Encheng Zhang China 10 109 1.0× 99 0.9× 115 1.1× 150 1.6× 47 0.8× 23 365
Philipp Stenzel Germany 8 122 1.2× 117 1.1× 119 1.1× 112 1.2× 92 1.5× 16 362
Junjie Kuang China 6 163 1.5× 118 1.1× 76 0.7× 74 0.8× 65 1.1× 11 344
Bernadette Redd United States 8 163 1.5× 133 1.3× 98 0.9× 38 0.4× 50 0.8× 24 366
Yiquan Jiang China 8 89 0.8× 108 1.0× 60 0.6× 36 0.4× 33 0.6× 25 305
Alexander Wright United Kingdom 12 140 1.3× 91 0.9× 59 0.6× 190 2.0× 116 1.9× 34 468
Annalisa Nardone Italy 10 78 0.7× 133 1.3× 78 0.7× 39 0.4× 118 2.0× 24 271
Keita Koseki Japan 6 80 0.8× 60 0.6× 127 1.2× 101 1.1× 42 0.7× 11 410
Si-Cong Ma China 9 190 1.8× 150 1.4× 104 1.0× 72 0.8× 96 1.6× 21 391
Christiane Zgorzelski Germany 12 140 1.3× 59 0.6× 70 0.7× 92 1.0× 59 1.0× 18 321

Countries citing papers authored by Liren Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Liren Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liren Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Liren Jiang. A scholar is included among the top collaborators of Liren 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 Liren Jiang. Liren 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.
Wang, Zichen, Liren Jiang, Yu Shang, et al.. (2025). Genetic and pathogenic characteristics of a novel recombinant GI-19 infectious bronchitis virus strain isolated from northeastern China. Poultry Science. 104(4). 104985–104985. 2 indexed citations
2.
Gao, Feng, Liren Jiang, Jun Lin, et al.. (2024). Deep learning-based pathological prediction of lymph node metastasis for patient with renal cell carcinoma from primary whole slide images. Journal of Translational Medicine. 22(1). 568–568. 4 indexed citations
3.
Wang, Xiyue, Jun Zhang, Liren Jiang, et al.. (2024). Deep learning-based diagnosis and survival prediction of patients with renal cell carcinoma from primary whole slide images. Pathology. 56(7). 951–960. 1 indexed citations
4.
Ma, Li, Guangming Tian, Yinghu Zhang, et al.. (2024). Bacillus coagulans MF-06 alleviates intestinal mucosal barrier from damage in chicks infected with Salmonella pullorum via activating the Wnt/β-catenin pathway. Frontiers in Microbiology. 15. 1492035–1492035. 1 indexed citations
5.
Gao, Feng, Yuxiang Zhang, Jiaqiang Luo, et al.. (2023). A bi‐allelic REC114 loss‐of‐function variant causes meiotic arrest and nonobstructive azoospermia. Clinical Genetics. 105(4). 440–445. 4 indexed citations
6.
Chen, Guiming, et al.. (2023). Preliminary exploration of the effects of environmental factors on the microsatellite status of BRAF-mutated colorectal cancer. World Journal of Surgical Oncology. 21(1). 264–264.
7.
Wang, Jinglong, Lidong Zu, Weiwei Shen, et al.. (2023). Quantitative proteomics profiling reveals the inhibition of trastuzumab antitumor efficacy by phosphorylated RPS6 in gastric carcinoma. Cancer Chemotherapy and Pharmacology. 92(5). 341–355. 1 indexed citations
8.
Jiang, Liren, Tao Wang, Jian Zhang, et al.. (2023). Screening and identification of prognostic genes associated with eosinophilic features of clear cell renal cell carcinoma. Heliyon. 9(6). e16479–e16479. 9 indexed citations
9.
Li, Yang, et al.. (2023). Association of the m6A reader IGF2BP3 with tumor progression and brain‐specific metastasis in breast cancer. Cancer. 130(3). 356–374. 4 indexed citations
10.
Li, Xin, Ruhui Tian, Peng Li, et al.. (2023). Ultrasonographic evaluation of the rete testis thickness: a promising approach to differentiate obstructive from nonobstructive azoospermia. Asian Journal of Andrology. 25(6). 725–730.
11.
12.
Chen, Siteng, Encheng Zhang, Liren Jiang, et al.. (2022). Robust Prediction of Prognosis and Immunotherapeutic Response for Clear Cell Renal Cell Carcinoma Through Deep Learning Algorithm. Frontiers in Immunology. 13. 798471–798471. 12 indexed citations
13.
Jiang, Liren, Siteng Chen, Qi Pan, et al.. (2022). The feasibility of proteomics sequencing based immune-related prognostic signature for predicting clinical outcomes of bladder cancer patients. BMC Cancer. 22(1). 676–676. 5 indexed citations
14.
Chen, Siteng, Ning Zhang, Encheng Zhang, et al.. (2021). A Novel m6A Gene Signature Associated With Regulatory Immune Function for Prognosis Prediction in Clear-Cell Renal Cell Carcinoma. Frontiers in Cell and Developmental Biology. 8. 616972–616972. 4 indexed citations
15.
Chen, Siteng, Liren Jiang, Feng Gao, et al.. (2021). Machine learning-based pathomics signature could act as a novel prognostic marker for patients with clear cell renal cell carcinoma. British Journal of Cancer. 126(5). 771–777. 45 indexed citations
16.
Chen, Siteng, Liren Jiang, Encheng Zhang, et al.. (2021). A Novel Nomogram Based on Machine Learning-Pathomics Signature and Neutrophil to Lymphocyte Ratio for Survival Prediction of Bladder Cancer Patients. Frontiers in Oncology. 11. 703033–703033. 12 indexed citations
17.
18.
Jiang, Liren & Joanna Zawacka‐Pankau. (2020). The p53/MDM2/MDMX-targeted therapies—a clinical synopsis. Cell Death and Disease. 11(4). 237–237. 48 indexed citations
19.
20.
Jiang, Liren, et al.. (2017). Development of a Whole Slide Imaging System on Smartphones and Evaluation With Frozen Section Samples. JMIR mhealth and uhealth. 5(9). e132–e132. 17 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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