Lingling Zhan

473 total citations
23 papers, 349 citations indexed

About

Lingling Zhan is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Lingling Zhan has authored 23 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Epidemiology. Recurrent topics in Lingling Zhan's work include Inflammatory Bowel Disease (5 papers), Liver Disease Diagnosis and Treatment (2 papers) and Immune Cell Function and Interaction (2 papers). Lingling Zhan is often cited by papers focused on Inflammatory Bowel Disease (5 papers), Liver Disease Diagnosis and Treatment (2 papers) and Immune Cell Function and Interaction (2 papers). Lingling Zhan collaborates with scholars based in China, United States and India. Lingling Zhan's co-authors include Nilanjana Maulik, Mahesh Thirunavukkarasu, G. Maulik, Venugopal P. Menon, Debasis Bagchi, Suresh Varma Penumathsa, Xiaoping Lv, Lan Chen, Hui Liao and Xiaodan Lv and has published in prestigious journals such as Neuroscience, Medicine and World Journal of Gastroenterology.

In The Last Decade

Lingling Zhan

22 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingling Zhan China 9 127 62 59 56 53 23 349
Cristina-Sorina Cătană Romania 12 256 2.0× 108 1.7× 40 0.7× 59 1.1× 39 0.7× 30 532
Yunfeng Hou China 12 216 1.7× 53 0.9× 16 0.3× 36 0.6× 60 1.1× 19 496
Miaoxia Pan China 10 262 2.1× 53 0.9× 25 0.4× 39 0.7× 69 1.3× 15 516
Mosang Yu China 11 193 1.5× 32 0.5× 34 0.6× 37 0.7× 104 2.0× 22 422
Sichong Ren China 11 301 2.4× 28 0.5× 67 1.1× 57 1.0× 27 0.5× 31 497
Wei Xing China 11 191 1.5× 52 0.8× 22 0.4× 27 0.5× 33 0.6× 38 428
S.H. Koh Australia 7 137 1.1× 76 1.2× 94 1.6× 87 1.6× 49 0.9× 13 426
Michael J. Littlefield United States 9 110 0.9× 149 2.4× 28 0.5× 30 0.5× 115 2.2× 13 386
Rongguo Fu China 11 158 1.2× 58 0.9× 42 0.7× 32 0.6× 72 1.4× 24 378
Yaqi Xing China 4 243 1.9× 48 0.8× 14 0.2× 33 0.6× 45 0.8× 7 425

Countries citing papers authored by Lingling Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Lingling Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingling Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Lingling Zhan. A scholar is included among the top collaborators of Lingling Zhan 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 Lingling Zhan. Lingling Zhan 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
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Han, Bing, Xiaodan Lv, Shiquan Li, et al.. (2023). Gut microbiota-related bile acid metabolism-FXR/TGR5 axis impacts the response to anti-α4β7-integrin therapy in humanized mice with colitis. Gut Microbes. 15(1). 2232143–2232143. 29 indexed citations
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Han, Bing, et al.. (2023). Comparative efficacy and safety of combination therapy with infliximab for Crohn’s disease: a systematic review and network meta-analysis. International Journal of Colorectal Disease. 38(1). 82–82. 3 indexed citations
6.
Lv, Xiaodan, Xiaodan Lv, Shiquan Li, et al.. (2021). Tnfaip6 Secreted by Bone Marrow–Derived Mesenchymal Stem Cells Attenuates TNBS-Induced Colitis by Modulating Follicular Helper T Cells and Follicular Regulatory T Cells Balance in Mice. Frontiers in Pharmacology. 12. 734040–734040. 13 indexed citations
7.
Lv, Xiaodan, Lingling Zhan, Lan Chen, et al.. (2021). Case Report: IL-21 and Bcl-6 Regulate the Proliferation and Secretion of Tfh and Tfr Cells in the Intestinal Germinal Center of Patients With Inflammatory Bowel Disease. Frontiers in Pharmacology. 11. 587445–587445. 18 indexed citations
8.
Lv, Xiaodan, Lan Chen, Junhua Fan, et al.. (2021). The Correlation Between MYO9B Gene Polymorphism and Inflammatory Bowel Disease in the Guangxi Zhuang Population. International Journal of General Medicine. Volume 14. 9163–9172. 1 indexed citations
9.
Fan, Junhua, et al.. (2021). Pathogenesis of autoimmune hepatitis. World Journal of Hepatology. 13(8). 879–886. 8 indexed citations
10.
Zhan, Lingling, Yu Lu, Huaping Chen, et al.. (2020). Association of LEPR gene polymorphisms with the risk of hepatitis B virus-related liver disease in Guangxi Chinese: A case-control study. Infection Genetics and Evolution. 84. 104366–104366. 2 indexed citations
11.
Han, Lichun, Xiaodan Lv, Shiquan Li, et al.. (2020). Infliximab is effective in the treatment of ulcerative colitis with dermatomyositis: A case report. World Journal of Gastroenterology. 26(46). 7425–7435. 7 indexed citations
12.
Zhang, Lingling, et al.. (2019). The potential value of red blood cell distribution width in patients with invasive hydatidiform mole. Journal of Clinical Laboratory Analysis. 33(4). e22846–e22846. 9 indexed citations
13.
Zhou, Yingqun, Xiaoling Lü, Shan Li, & Lingling Zhan. (2014). Correlation between the overexpression of urokinase receptor isoform uPAR (D1D2) and hepatic cell malignant transformation. Molecular Medicine Reports. 9(5). 1689–1696. 2 indexed citations
14.
Zhou, Yingqun, Xiaoping Lv, Shan Li, Bing Bai, & Lingling Zhan. (2014). Synergy of urokinase-type plasminogen activator receptor isomer (D1D2) and integrin α5β1 causes malignant transformation of hepatic cells and the occurrence of liver cancer. Molecular Medicine Reports. 10(5). 2568–2574. 4 indexed citations
15.
Zhan, Lingling, et al.. (2012). Curcumin Improves TNBS-Induced Colitis in Rats by Inhibiting IL-27 Expression via the TLR4/NF-κB Signaling Pathway. Planta Medica. 79(2). 102–109. 57 indexed citations
16.
Zhan, Lingling. (2009). Purification and Identification of Calmodulin (CaM) from Prorocentrum donghaiense Lu. 1 indexed citations
17.
Penumathsa, Suresh Varma, Mahesh Thirunavukkarasu, Lingling Zhan, et al.. (2008). Resveratrol enhances GLUT‐4 translocation to the caveolar lipid raft fractions through AMPK/Akt/eNOS signalling pathway in diabetic myocardium. Journal of Cellular and Molecular Medicine. 12(6a). 2350–2361. 142 indexed citations
18.
Thirunavukkarasu, Mahesh, Sankar Addya, Béla Juhász, et al.. (2008). Heterozygous disruption of Flk‐1 receptor leads to myocardial ischaemia reperfusion injury in mice: application of affymetrix gene chip analysis. Journal of Cellular and Molecular Medicine. 12(4). 1284–1302. 19 indexed citations
19.
Xu, En, et al.. (2008). Polymorphisms of the lipoprotein lipase gene are associated with atherosclerotic cerebral infarction in the Chinese. Neuroscience. 155(2). 403–408. 23 indexed citations
20.
Penumathsa, Suresh Varma, Mahesh Thirunavukkarasu, Srikanth Koneru, Lingling Zhan, & Nilanjana Maulik. (2006). A39. Sildenafil citrate (viagra), a selective phosphodiesterase type 5 inhibitor is a powerful pro-angiogenic agent. Journal of Molecular and Cellular Cardiology. 40(6). 907–908. 1 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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