Zhong Lü

1.7k total citations · 1 hit paper
19 papers, 1.1k citations indexed

About

Zhong Lü is a scholar working on Molecular Biology, Oncology and Dermatology. According to data from OpenAlex, Zhong Lü has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Dermatology. Recurrent topics in Zhong Lü's work include Neuroendocrine Tumor Research Advances (2 papers), Dermatology and Skin Diseases (2 papers) and Dermatologic Treatments and Research (2 papers). Zhong Lü is often cited by papers focused on Neuroendocrine Tumor Research Advances (2 papers), Dermatology and Skin Diseases (2 papers) and Dermatologic Treatments and Research (2 papers). Zhong Lü collaborates with scholars based in China and United States. Zhong Lü's co-authors include LI Ruo-bao, Yan Huang, Bolin Wang, Ying Ma, Yifei Wang, Lihua Wang, Shurong Liu, Lihong Shi, Xuejian Wang and Yi Ding and has published in prestigious journals such as BMC Cancer, Frontiers in Oncology and Journal of Translational Medicine.

In The Last Decade

Zhong Lü

19 papers receiving 1.1k 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.

Does comorbidity increase the risk of patients with COVID-19: evidence from meta-analysis

2020 876 citations Bolin Wang, LI Ruo-bao et al. Aging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhong Lü China	10	541	312	305	161	122	19	1.1k
Tian Huang China	7	657 1.2×	260 0.8×	394 1.3×	163 1.0×	89 0.7×	9	1.1k
Taobi Huang China	7	645 1.2×	261 0.8×	391 1.3×	163 1.0×	80 0.7×	10	1.1k
Mei Ding China	8	876 1.6×	219 0.7×	419 1.4×	118 0.7×	171 1.4×	11	1.5k
Yuanli Sun China	8	638 1.2×	188 0.6×	321 1.1×	97 0.6×	169 1.4×	14	1.1k
Buyun Xu China	7	1.1k 2.0×	357 1.1×	531 1.7×	209 1.3×	185 1.5×	19	1.7k
Huiling Liang China	12	592 1.1×	219 0.7×	297 1.0×	91 0.6×	147 1.2×	20	1.2k
Priyank Desai Nigeria	7	610 1.1×	190 0.6×	273 0.9×	171 1.1×	98 0.8×	11	1.1k
Benjamin Gallo Marin United States	9	556 1.0×	166 0.5×	390 1.3×	118 0.7×	94 0.8×	25	1.0k
Chunxia Tian China	8	836 1.5×	197 0.6×	412 1.4×	85 0.5×	184 1.5×	10	1.3k

Countries citing papers authored by Zhong Lü

Since Specialization

Citations

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

Fields of papers citing papers by Zhong Lü

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhong Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Zhong Lü. A scholar is included among the top collaborators of Zhong Lü 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 Zhong Lü. Zhong Lü 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:

19 of 19 papers shown

Xi, Xugang, et al.. (2023). Analysis of corticomuscular-cortical functional network based on time-delayed maximal information spectral coefficient. Journal of Neural Engineering. 20(5). 56017–56017. 1 indexed citations

Fan, Ming, et al.. (2023). Radiogenomic analysis of cellular tumor-stroma heterogeneity as a prognostic predictor in breast cancer. Journal of Translational Medicine. 21(1). 9 indexed citations

Li, Xiaoqing, et al.. (2023). Case Report: Ensartinib for gastric epithelioid inflammatory myofibrosarcoma with STRN-ALK fusion. Frontiers in Oncology. 13. 1252221–1252221. 4 indexed citations

Ma, Xiaolin, et al.. (2022). Primary vaginal malignant melanoma successfully treated with combination therapy: A case report. Oncology Letters. 24(6). 430–430. 5 indexed citations

Li, Xin & Zhong Lü. (2022). Role of von Willebrand factor in the angiogenesis of lung adenocarcinoma (Review). Oncology Letters. 23(6). 198–198. 5 indexed citations

Zhang, Lin, et al.. (2021). Correlation of zinc finger protein 2, a prognostic biomarker, with immune infiltrates in liver cancer. Bioscience Reports. 41(1). 12 indexed citations

Zhang, Zheng, et al.. (2021). Characterization of chromatin accessibility in psoriasis. Frontiers of Medicine. 16(3). 483–495. 3 indexed citations

Wang, Bolin, Zhong Lü, Yan Huang, LI Ruo-bao, & Tao Lin. (2020). Does hypothyroidism increase the risk of breast cancer: evidence from a meta-analysis. BMC Cancer. 20(1). 733–733. 12 indexed citations

Zhang, Zheng, et al.. (2020). Identification and analysis of dysregulated lncRNA and associated ceRNA in the pathogenesis of keloid. Annals of Translational Medicine. 8(5). 222–222. 20 indexed citations

10.

Wang, Bolin, LI Ruo-bao, Zhong Lü, & Yan Huang. (2020). Does comorbidity increase the risk of patients with COVID-19: evidence from meta-analysis. Aging. 12(7). 6049–6057. 876 indexed citations breakdown →

11.

Lü, Zhong, et al.. (2019). Antimicrobial Susceptibility, Biotypes and Phylotypes of Clinical Cutibacterium (Formerly Propionibacterium) acnes Strains Isolated from Acne Patients: An Observational Study. Dermatology and Therapy. 9(4). 735–746. 30 indexed citations

12.

Shi, Yunfeng, et al.. (2019). [Transurethral holmium laser enucleation of the prostate for benign prostatic hyperplasia in patients with a history of transrectal prostate biopsy].. PubMed. 25(5). 403–407. 3 indexed citations

13.

Liu, Jin, et al.. (2018). Programmed death‑ligand 1 positivity can predict improved survival and a lower risk of brain metastasis in patients with resectable small cell lung cancer. Oncology Letters. 16(2). 2373–2381. 10 indexed citations

14.

Shi, Lihong, Xuejian Wang, Shuxiao Wang, et al.. (2018). Stat3/Oct-4/c-Myc signal circuit for regulating stemness-mediated doxorubicin resistance of triple-negative breast cancer cells and inhibitory effects of WP1066. International Journal of Oncology. 53(1). 339–348. 69 indexed citations

15.

Lü, Zhong, et al.. (2017). Draft genome sequences of three multidrug-resistant Cutibacterium (formerly Propionibacterium ) acnes strains isolated from acne patients, China. Journal of Global Antimicrobial Resistance. 11. 114–115. 9 indexed citations

16.

Zhang, Zheng, et al.. (2016). Investigation of 36 non-HLA (human leucocyte antigen) psoriasis susceptibility loci in a psoriatic arthritis cohort. Archives of Dermatological Research. 309(2). 71–77. 12 indexed citations

17.

Lü, Zhong, et al.. (2015). Clinical observation on acupuncture plus chiropractic treatment for cervical spondylosis. Journal of Acupuncture and Tuina Science. 13(5). 319–323. 1 indexed citations

18.

Lü, Zhong, et al.. (2013). Expression of CD26 and CXCR4 in prostate carcinoma and its relationship with clinical parameters.. PubMed. 18(8). 647–52. 21 indexed citations

19.

Ma, Ying, et al.. (2012). The effect of flashlamp pulsed dye laser on the expression of connective tissue growth factor in keloids. Lasers in Surgery and Medicine. 44(5). 377–383. 22 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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