Jim Lu

1.1k total citations
27 papers, 907 citations indexed

About

Jim Lu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jim Lu has authored 27 papers receiving a total of 907 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Cancer Research and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jim Lu's work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (10 papers) and Circular RNAs in diseases (7 papers). Jim Lu is often cited by papers focused on MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (10 papers) and Circular RNAs in diseases (7 papers). Jim Lu collaborates with scholars based in China, United States and Spain. Jim Lu's co-authors include Aifang Zhong, Li-Yi Zhang, Wei Niu, Wanshuai Li, Xinyang Sun, Huimin Fan, Lin Zhao, Mingjun He, Shengdong Chen and Zhongmin Guo and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and PLoS ONE.

In The Last Decade

Jim Lu

26 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jim Lu China 14 637 542 93 88 87 27 907
TaeHee Kim United States 17 562 0.9× 313 0.6× 54 0.6× 27 0.3× 62 0.7× 24 881
Magdalena Tertil Poland 13 393 0.6× 149 0.3× 60 0.6× 46 0.5× 32 0.4× 14 644
Xianquan Zhang China 11 275 0.4× 91 0.2× 67 0.7× 94 1.1× 25 0.3× 28 621
Mei Xu China 12 328 0.5× 122 0.2× 73 0.8× 26 0.3× 23 0.3× 19 571
Ralf G. Rempe United States 8 255 0.4× 121 0.2× 21 0.2× 41 0.5× 62 0.7× 9 854
Ziwei Du China 14 359 0.6× 220 0.4× 15 0.2× 55 0.6× 15 0.2× 24 593
Wanshuai Li China 15 459 0.7× 304 0.6× 32 0.3× 32 0.4× 29 0.3× 20 597

Countries citing papers authored by Jim Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jim Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Lu. A scholar is included among the top collaborators of Jim Lu 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 Jim Lu. Jim Lu 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.
2.
Lu, Lucy, Adam Cole, Dan Huang, et al.. (2022). Clinical Significance of Hepsin and Underlying Signaling Pathways in Prostate Cancer. Biomolecules. 12(2). 203–203. 13 indexed citations
3.
Wei, Jun, Wancai Yang, Zhuqing Shi, et al.. (2021). Observed evidence for guideline‐recommended genes in predicting prostate cancer risk from a large population‐based cohort. The Prostate. 81(13). 1002–1008. 10 indexed citations
4.
Shi, Zhuqing, Lucy Lu, Wancai Yang, et al.. (2021). Association of germline rare pathogenic mutations in guideline‐recommended genes with prostate cancer progression: A meta‐analysis. The Prostate. 82(1). 107–119. 9 indexed citations
5.
Yang, Wancai, Yongchen Guo, Jim Lu, & Yonghua Bao. (2021). Differential gene expression of tight-junction proteins and their correlation with PRSS8 and prognosis in colorectal cancer.. Journal of Clinical Oncology. 39(15_suppl). e15548–e15548. 3 indexed citations
6.
Hamm, Christopher A., Karen Pry, Jim Lu, & Sarah Bacus. (2019). Immune profiling reveals the diverse nature of the immune response in NSCLC and reveals signaling pathways that may influence the anti-tumor immune response. Experimental and Molecular Pathology. 109. 1–15. 4 indexed citations
7.
Cui, Xuelian, Wei Niu, Lingming Kong, et al.. (2017). Long Noncoding RNA as an Indicator Differentiating Schizophrenia From Major Depressive Disorder and Generalized Anxiety Disorder in Nonpsychiatric Hospital. Biomarkers in Medicine. 11(3). 221–228. 11 indexed citations
8.
Lu, Jim, Li-Yi Zhang, Xuelian Cui, et al.. (2017). Long noncoding RNAs: New evidence for overlapped pathogenesis between major depressive disorder and generalized anxiety disorder. Indian Journal of Psychiatry. 59(1). 83–83. 10 indexed citations
9.
Cui, Xuelian, Wei Niu, Lingming Kong, et al.. (2017). Long noncoding RNA expression in peripheral blood mononuclear cells and suicide risk in Chinese patients with major depressive disorder. Brain and Behavior. 7(6). e00711–e00711. 32 indexed citations
10.
Chen, Shengdong, Xinyang Sun, Wei Niu, et al.. (2016). A preliminary analysis of microRNA-21 expression alteration after antipsychotic treatment in patients with schizophrenia. Psychiatry Research. 244. 324–332. 29 indexed citations
11.
Chen, Shengdong, Xinyang Sun, Wei Niu, et al.. (2016). Correlation between the level of microRNA expression in peripheral blood mononuclear cells and symptomatology in patients with generalized anxiety disorder. Comprehensive Psychiatry. 69. 216–224. 21 indexed citations
12.
Cui, Xuelian, Wei Niu, Lingming Kong, et al.. (2016). Hsa_Circrna_103636: Potential Novel Diagnostic and Therapeutic Biomarker in Major Depressive Disorder. Biomarkers in Medicine. 10(9). 943–952. 116 indexed citations
13.
Xu, Ming-jiang, Yan Cai, Hua Wang, et al.. (2015). Fat-Specific Protein 27/CIDEC Promotes Development of Alcoholic Steatohepatitis in Mice and Humans. Gastroenterology. 149(4). 1030–1041.e6. 113 indexed citations
14.
Fan, Huimin, Xinyang Sun, Wei Niu, et al.. (2015). Altered microRNA Expression in Peripheral Blood Mononuclear Cells from Young Patients with Schizophrenia. Journal of Molecular Neuroscience. 56(3). 562–571. 34 indexed citations
15.
Li, Wanshuai, Yong Wang, Qi Zhang, et al.. (2015). MicroRNA-486 as a Biomarker for Early Diagnosis and Recurrence of Non-Small Cell Lung Cancer. PLoS ONE. 10(8). e0134220–e0134220. 65 indexed citations
16.
Zhang, Jin, Wei Niu, Wei Guo, et al.. (2015). A preliminary analysis of microRNA as potential clinical biomarker for schizophrenia. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 168(3). 170–178. 71 indexed citations
17.
Song, Hongtao, Xinyang Sun, Liang Zhang, et al.. (2014). A preliminary analysis of association between the down-regulation of microRNA-181b expression and symptomatology improvement in schizophrenia patients before and after antipsychotic treatment. Journal of Psychiatric Research. 54. 134–140. 75 indexed citations
18.
Sun, Xinyang, Jim Lu, Liang Zhang, et al.. (2014). Aberrant microRNA expression in peripheral plasma and mononuclear cells as specific blood-based biomarkers in schizophrenia patients. Journal of Clinical Neuroscience. 22(3). 570–574. 85 indexed citations
19.
Fan, Huimin, Xinyang Sun, Wei Guo, et al.. (2014). Differential expression of microRNA in peripheral blood mononuclear cells as specific biomarker for major depressive disorder patients. Journal of Psychiatric Research. 59. 45–52. 108 indexed citations
20.
Lu, Jim, et al.. (2011). Prunella vulgaris L. extract improves cellular immunity in MDR-TB challenged rats. Journal of Medical Colleges of PLA. 26(4). 230–237. 10 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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