Junmi Lu

663 total citations
23 papers, 487 citations indexed

About

Junmi Lu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Junmi Lu has authored 23 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Cancer Research. Recurrent topics in Junmi Lu's work include Lung Cancer Treatments and Mutations (6 papers), Cancer-related molecular mechanisms research (5 papers) and RNA modifications and cancer (4 papers). Junmi Lu is often cited by papers focused on Lung Cancer Treatments and Mutations (6 papers), Cancer-related molecular mechanisms research (5 papers) and RNA modifications and cancer (4 papers). Junmi Lu collaborates with scholars based in China, United States and Taiwan. Junmi Lu's co-authors include Yuting Zhan, Songqing Fan, Juan Feng, Jiadi Luo, Sile Liu, Hongmei Zheng, Qiuyuan Wen, Hongjing Zang, Yuting Zhang and Lingjiao Chen and has published in prestigious journals such as PLoS ONE, Circulation Research and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Junmi Lu

22 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junmi Lu China 13 368 268 82 71 32 23 487
Qiangnu Zhang China 12 277 0.8× 217 0.8× 65 0.8× 50 0.7× 29 0.9× 24 372
Jing Zuo China 13 297 0.8× 211 0.8× 59 0.7× 117 1.6× 41 1.3× 41 454
Wuping Yang China 11 268 0.7× 159 0.6× 109 1.3× 68 1.0× 37 1.2× 26 422
Yihui Pan China 11 389 1.1× 308 1.1× 109 1.3× 44 0.6× 18 0.6× 16 483
Yunfei Yan China 11 289 0.8× 178 0.7× 44 0.5× 53 0.7× 39 1.2× 27 384
Leyang Xiang China 12 306 0.8× 219 0.8× 40 0.5× 88 1.2× 25 0.8× 22 431
Juhong Wang China 12 419 1.1× 280 1.0× 50 0.6× 83 1.2× 35 1.1× 17 507
Zhousan Zheng China 10 255 0.7× 153 0.6× 64 0.8× 58 0.8× 17 0.5× 16 347
Shupeng Liu China 11 251 0.7× 145 0.5× 85 1.0× 45 0.6× 46 1.4× 27 382
Wene Wei China 12 263 0.7× 207 0.8× 69 0.8× 85 1.2× 23 0.7× 19 405

Countries citing papers authored by Junmi Lu

Since Specialization
Citations

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

Fields of papers citing papers by Junmi Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junmi Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Junmi Lu. A scholar is included among the top collaborators of Junmi 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 Junmi Lu. Junmi 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.
Kong, Deping, Jing Liu, Junmi Lu, et al.. (2024). HMGB2 Release Promotes Pulmonary Hypertension and Predicts Severity and Mortality of Patients With Pulmonary Arterial Hypertension. Arteriosclerosis Thrombosis and Vascular Biology. 44(6). e172–e195. 5 indexed citations
2.
3.
Lu, Junmi, et al.. (2024). Elevated serum levels of leukocyte cell-derived chemotaxin 2 are associated with the prevalence of metabolic syndrome. Acta Diabetologica. 61(5). 643–655. 1 indexed citations
4.
Lu, Junmi, Yufei Lu, Shuguang Yuan, et al.. (2023). CD4+ T-Cell Legumain Deficiency Attenuates Hypertensive Damage via Preservation of TRAF6. Circulation Research. 134(1). 9–29. 12 indexed citations
5.
Lu, Junmi, et al.. (2023). HMGB family proteins: Potential biomarkers and mechanistic factors in cardiovascular diseases. Biomedicine & Pharmacotherapy. 165. 115118–115118. 14 indexed citations
6.
Lu, Junmi, Hongjing Zang, Yuting Zhan, et al.. (2020). Overexpression of p-Akt, p-mTOR and p-eIF4E proteins associates with metastasis and unfavorable prognosis in non-small cell lung cancer. PLoS ONE. 15(2). e0227768–e0227768. 31 indexed citations
7.
Zheng, Hongmei, et al.. (2020). Combined Application of Immunohistochemistry and Warthin-Starry Silver Stain on the Pathologic Diagnosis of Cat Scratch Disease. Applied immunohistochemistry & molecular morphology. 28(10). 781–785. 6 indexed citations
8.
Chen, Lingjiao, Guiyuan Xie, Juan Feng, et al.. (2020). Overexpression of FADD and Bcl-XS proteins as novel prognostic biomarkers for surgically resected non-small cell lung cancer. Cancer Biomarkers. 30(2). 145–154. 5 indexed citations
9.
Zhan, Yuting, Juan Feng, Junmi Lu, et al.. (2019). Expression of LEF1 and TCF1 (TCF7) proteins associates with clinical progression of nasopharyngeal carcinoma. Journal of Clinical Pathology. 72(6). 425–430. 14 indexed citations
10.
Zhang, Yuting, Yuting Zhan, Sile Liu, et al.. (2019). <p>Prognostic analysis of patients with mutant and wild-type <em>EGFR</em> gene lung adenocarcinoma</p>. Cancer Management and Research. Volume 11. 6139–6150. 16 indexed citations
11.
Wen, Qiuyuan, Yuting Zhan, Hongjing Zang, et al.. (2019). Elevated expression of mcl-1 inhibits apoptosis and predicts poor prognosis in patients with surgically resected non-small cell lung cancer. Diagnostic Pathology. 14(1). 108–108. 21 indexed citations
12.
Feng, Juan, Guiyuan Xie, Yuting Zhan, et al.. (2019). Elevated HSP90 associates with expression of HIF‐1α and p‐AKT and is predictive of poor prognosis in nasopharyngeal carcinoma. Histopathology. 75(2). 202–212. 27 indexed citations
13.
Zhan, Yuting, Yuting Zhang, Sile Liu, et al.. (2019). Elevated expression of G3BP1 associates with YB1 and p‐AKT and predicts poor prognosis in nonsmall cell lung cancer patients after surgical resection. Cancer Medicine. 8(16). 6894–6903. 37 indexed citations
14.
Lu, Junmi, Yuting Zhan, Juan Feng, Jiadi Luo, & Songqing Fan. (2018). MicroRNAs associated with therapy of non-small cell lung cancer. International Journal of Biological Sciences. 14(4). 390–397. 68 indexed citations
15.
Liu, Sile, Yuting Zhan, Jiadi Luo, et al.. (2018). Roles of exosomes in the carcinogenesis and clinical therapy of non-small cell lung cancer. Biomedicine & Pharmacotherapy. 111. 338–346. 45 indexed citations
16.
Zheng, Hongmei, Yuting Zhan, Sile Liu, et al.. (2018). The roles of tumor-derived exosomes in non-small cell lung cancer and their clinical implications. Journal of Experimental & Clinical Cancer Research. 37(1). 226–226. 108 indexed citations
17.
Zhan, Yuting, Hongjing Zang, Juan Feng, et al.. (2017). Long non-coding RNAs associated with non-small cell lung cancer. Oncotarget. 8(40). 69174–69184. 36 indexed citations
18.
Feng, Juan, Jiadi Luo, Hongjing Zang, et al.. (2017). Primary synovial sarcoma of the larynx in a 14-year-old boy diagnosed by immunohistochemistry and fluorescence in situ hybridization: a rare case report.. PubMed. 10(7). 7913–7919. 4 indexed citations
19.
Feng, Juan, Jiadi Luo, Haiqing Wang, et al.. (2017). High expression of heat shock protein 10 (Hsp10) is associated with poor prognosis in oral squamous cell carcinoma.. PubMed. 10(7). 7784–7791. 4 indexed citations
20.
Lu, Junmi, et al.. (1995). Elevated serum CK-MB and CK-BB isoenzymes in a patient with small cell lung cancer: a case report.. PubMed. 55(3). 270–3. 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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