Jin He

1.4k total citations
52 papers, 1.1k citations indexed

About

Jin He is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Jin He has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 15 papers in Cancer Research and 11 papers in Genetics. Recurrent topics in Jin He's work include Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (8 papers) and Renal and related cancers (7 papers). Jin He is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (8 papers) and Renal and related cancers (7 papers). Jin He collaborates with scholars based in China, United States and India. Jin He's co-authors include John D. Mountz, Jian Wu, Leihong Xiang, Tong Zhou, Jie Wu, Janet E. Wilson, Peter H. Schur, Judith M. Thomas, F Thomas and Cheryl A. Smyth and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and PLoS ONE.

In The Last Decade

Jin He

47 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jin He China	12	549	483	174	158	143	52	1.1k
Majid Shahbazi Iran	13	463 0.8×	227 0.5×	95 0.5×	161 1.0×	73 0.5×	72	1.1k
Wenwu Zhai United States	16	543 1.0×	365 0.8×	93 0.5×	90 0.6×	68 0.5×	19	1.3k
Harukiyo Kawamura Japan	18	668 1.2×	190 0.4×	98 0.6×	102 0.6×	73 0.5×	37	1.2k
Sacha B. Geutskens Netherlands	15	363 0.7×	338 0.7×	176 1.0×	53 0.3×	64 0.4×	21	957
Virginie Millet France	15	481 0.9×	137 0.3×	145 0.8×	86 0.5×	105 0.7×	21	958
Lara Nonell Spain	19	462 0.8×	279 0.6×	67 0.4×	236 1.5×	123 0.9×	48	1.1k
Mat Rousch Netherlands	15	372 0.7×	309 0.6×	133 0.8×	109 0.7×	33 0.2×	23	922
Claudio Molina Chile	23	488 0.9×	320 0.7×	174 1.0×	110 0.7×	113 0.8×	51	1.4k
Martina Baliova Slovakia	10	318 0.6×	326 0.7×	58 0.3×	102 0.6×	65 0.5×	26	917
Karim J. Brandt Switzerland	17	354 0.6×	453 0.9×	35 0.2×	61 0.4×	125 0.9×	33	864

Countries citing papers authored by Jin He

Since Specialization

Citations

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

Fields of papers citing papers by Jin He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin He

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Junfeng, Zhongxiang Jiang, Jin He, et al.. (2024). Effect of CHRDL1 on angiogenesis and metastasis of colorectal cancer cells via TGF‐β/VEGF pathway. Molecular Carcinogenesis. 63(6). 1092–1105. 6 indexed citations

Meng, Jun, et al.. (2024). Indole‐3‐Carboxaldehyde Inhibits Inflammatory Response and Lipid Accumulation in Macrophages Through the miR‐1271‐5p/HDAC9 Pathway. Journal of Cellular and Molecular Medicine. 28(24). e70263–e70263. 4 indexed citations

Zheng, Hui, et al.. (2024). Deep Learning-Based Automated Cell Detection-Facilitated Meat Quality Evaluation. Foods. 13(14). 2270–2270. 5 indexed citations

Luo, Jianing, et al.. (2024). Cross-Species Insights into Autosomal Dominant Polycystic Kidney Disease: Provide an Alternative View on Research Advancement. International Journal of Molecular Sciences. 25(11). 5646–5646. 1 indexed citations

Chen, Jun, Fuqiang Liu, Jiao Wu, et al.. (2023). Effect of STK3 on proliferation and apoptosis of pancreatic cancer cells via PI3K/AKT/mTOR pathway. Cellular Signalling. 106. 110642–110642. 9 indexed citations

Xiang, Qin, Le Xin, Chunhong Li, et al.. (2023). Neuroglobin plays as tumor suppressor by disrupting the stability of GPR35 in colorectal cancer. Clinical Epigenetics. 15(1). 57–57. 5 indexed citations

Tang, Yi, Jun Luo, Jingyuan Chen, et al.. (2023). Differential expression spectrum and targeted gene prediction of tRNA-derived small RNAs in idiopathic pulmonary arterial hypertension. Frontiers in Molecular Biosciences. 10. 1204740–1204740. 8 indexed citations

Shen, Jing, et al.. (2023). Schizophrenia and cell senescence candidate genes screening, machine learning, diagnostic models, and drug prediction. Frontiers in Psychiatry. 14. 1105987–1105987. 10 indexed citations

Gong, Qian, et al.. (2022). Bioinformatics and Experimental Analyses Reveal Immune-Related LncRNA–mRNA Pair AC011483.1-CCR7 as a Biomarker and Therapeutic Target for Ischemic Cardiomyopathy. International Journal of Molecular Sciences. 23(19). 11994–11994. 3 indexed citations

10.

Ye, Yang, Qian Gong, Aoqi Li, et al.. (2022). Bioinformatics and Experimental Analyses Reveal NFIC as an Upstream Transcriptional Regulator for Ischemic Cardiomyopathy. Genes. 13(6). 1051–1051. 6 indexed citations

11.

Gong, Qian, Zhewei Hu, Yan Yan, et al.. (2022). Identification of JPX-RABEP1 Pair as an Immune-Related Biomarker and Therapeutic Target in Pulmonary Arterial Hypertension by Bioinformatics and Experimental Analyses. International Journal of Molecular Sciences. 23(24). 15559–15559. 4 indexed citations

12.

Yang, Yichun, Jiao Wu, Fuqiang Liu, et al.. (2021). IGF2BP1 Promotes the Liver Cancer Stem Cell Phenotype by Regulating MGAT5 mRNA Stability by m6A RNA Methylation. Stem Cells and Development. 30(22). 1115–1125. 33 indexed citations

13.

Li, Aoqi, Jin He, Zhe Zhang, et al.. (2021). Integrated Bioinformatics Analysis Reveals Marker Genes and Potential Therapeutic Targets for Pulmonary Arterial Hypertension. Genes. 12(9). 1339–1339. 14 indexed citations

14.

Huang, Yuqi, Minghao Sun, Lenan Zhuang, & Jin He. (2021). Molecular Phylogenetic Analysis of the AIG Family in Vertebrates. Genes. 12(8). 1190–1190. 2 indexed citations

15.

Lo, Li Jan, et al.. (2020). rDNA subtypes and their transcriptional expression in zebrafish at different developmental stages. Biochemical and Biophysical Research Communications. 529(3). 819–825. 8 indexed citations

16.

Wang, Jinyang, et al.. (2020). Evolutionary and Molecular Characterization of liver-enriched gene 1. Scientific Reports. 10(1). 4262–4262. 5 indexed citations

17.

Zhang, Zhe, et al.. (2020). Transcriptomic Prediction of Pig Liver-Enriched Gene 1 Functions in a Liver Cell Line. Genes. 11(4). 412–412. 3 indexed citations

18.

Zhang, Zhe, et al.. (2020). Identification of ADPKD-Related Genes and Pathways in Cells Overexpressing PKD2. Genes. 11(2). 122–122. 5 indexed citations

19.

He, Jin, Chaoliang Leng, Aoqi Li, et al.. (2020). Identification of lncRNAs Involved in PCV2 Infection of PK-15 Cells. Pathogens. 9(6). 479–479. 7 indexed citations

20.

Zhou, Meijuan, Guo Chen, Li X, et al.. (2011). [Definition and function identification of nucleus export signal of BRD7].. PubMed. 36(7). 634–9. 2 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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