Xiaoying Lan

994 total citations
20 papers, 699 citations indexed

About

Xiaoying Lan is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Xiaoying Lan has authored 20 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Hematology and 5 papers in Oncology. Recurrent topics in Xiaoying Lan's work include Ubiquitin and proteasome pathways (6 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Peptidase Inhibition and Analysis (4 papers). Xiaoying Lan is often cited by papers focused on Ubiquitin and proteasome pathways (6 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Peptidase Inhibition and Analysis (4 papers). Xiaoying Lan collaborates with scholars based in China and United States. Xiaoying Lan's co-authors include Hongbiao Huang, Jinbao Liu, Xianping Shi, Xuejun Wang, Xin Chen, Chong Zhao, Ningning Liu, Q. Ping Dou, Shouting Liu and Dan Zang and has published in prestigious journals such as Oncogene, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Xiaoying Lan

18 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoying Lan China 15 461 227 95 77 76 20 699
Ravi Anchoori United States 16 541 1.2× 209 0.9× 40 0.4× 63 0.8× 107 1.4× 26 788
Xianping Shi China 20 683 1.5× 261 1.1× 154 1.6× 148 1.9× 89 1.2× 35 1.0k
Changshan Yang China 13 362 0.8× 164 0.7× 42 0.4× 54 0.7× 50 0.7× 14 546
Kunkun Han China 18 458 1.0× 205 0.9× 86 0.9× 90 1.2× 65 0.9× 24 630
Hanzhang Xu China 19 714 1.5× 249 1.1× 90 0.9× 136 1.8× 25 0.3× 43 877
Sarah Mackenzie United States 12 408 0.9× 116 0.5× 52 0.5× 55 0.7× 53 0.7× 20 628
Smita Matkar United States 12 549 1.2× 257 1.1× 56 0.6× 92 1.2× 46 0.6× 16 871
Yuyin Li China 21 617 1.3× 284 1.3× 173 1.8× 119 1.5× 36 0.5× 50 984
Dan Zang China 18 486 1.1× 237 1.0× 60 0.6× 166 2.2× 52 0.7× 39 804
Ayse Batova United States 18 603 1.3× 232 1.0× 70 0.7× 174 2.3× 156 2.1× 28 995

Countries citing papers authored by Xiaoying Lan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoying Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoying Lan. A scholar is included among the top collaborators of Xiaoying Lan 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 Xiaoying Lan. Xiaoying Lan 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
3.
Lan, Xiaoying, Min Hu, Jiamin Wang, et al.. (2022). Piperlongumine overcomes imatinib resistance by inducing proteasome inhibition in chronic myelogenous leukemia cells. Journal of Ethnopharmacology. 301. 115815–115815. 5 indexed citations
4.
Lan, Xiaoying, et al.. (2021). Development and efficacy of three poison baits against Blattella germanica under laboratory conditions. Journal of Asia-Pacific Entomology. 24(4). 1158–1163. 1 indexed citations
5.
Wen, Chuangyu, Qingyan He, Yuening Sun, et al.. (2020). Pseudolaric acid B induces mitotic arrest and apoptosis in both imatinib-sensitive and -resistant chronic myeloid leukaemia cells. European Journal of Pharmacology. 876. 173064–173064. 7 indexed citations
6.
Sun, Yuening, Jinxiang Wang, Qingyan He, et al.. (2019). Proteasomal cysteine deubiquitinase inhibitor b-AP15 suppresses migration and induces apoptosis in diffuse large B cell lymphoma. Journal of Experimental & Clinical Cancer Research. 38(1). 453–453. 33 indexed citations
7.
Xiao, Lu, Xiaoying Lan, Xianping Shi, et al.. (2017). Cytoplasmic RAP1 mediates cisplatin resistance of non-small cell lung cancer. Cell Death and Disease. 8(5). e2803–e2803. 66 indexed citations
8.
Lan, Xiaoying, Chong Zhao, Xin Chen, et al.. (2017). Platinum pyrithione induces apoptosis in chronic myeloid leukemia cells resistant to imatinib via DUB inhibition-dependent caspase activation and Bcr-Abl downregulation. Cell Death and Disease. 8(7). e2913–e2913. 19 indexed citations
9.
Huang, Hongbiao, Ningning Liu, Chong Zhao, et al.. (2017). Bilirubin neurotoxicity is associated with proteasome inhibition. Cell Death and Disease. 8(6). e2877–e2877. 31 indexed citations
10.
Zhao, Chong, Xin Chen, Changshan Yang, et al.. (2017). Repurposing an antidandruff agent to treating cancer: zinc pyrithione inhibits tumor growthviatargeting proteasome-associated deubiquitinases. Oncotarget. 8(8). 13942–13956. 29 indexed citations
11.
Lan, Xiaoying, Chong Zhao, Xin Chen, et al.. (2016). Nickel pyrithione induces apoptosis in chronic myeloid leukemia cells resistant to imatinib via both Bcr/Abl-dependent and Bcr/Abl-independent mechanisms. Journal of Hematology & Oncology. 9(1). 129–129. 21 indexed citations
12.
Jiang, Lili, Dan Zang, Xiaofen Li, et al.. (2016). A microRNA-mediated decrease in eukaryotic initiation factor 2α promotes cell survival during PS-341 treatment. Scientific Reports. 6(1). 21565–21565. 26 indexed citations
13.
Zhao, Chong, Xin Chen, Dan Zang, et al.. (2016). Platinum-containing compound platinum pyrithione is stronger and safer than cisplatin in cancer therapy. Biochemical Pharmacology. 116. 22–38. 36 indexed citations
14.
Zhao, Chong, Xin Chen, Dan Zang, et al.. (2016). A novel nickel complex works as a proteasomal deubiquitinase inhibitor for cancer therapy. Oncogene. 35(45). 5916–5927. 52 indexed citations
15.
Shi, Xianping, Xiaoying Lan, Xin Chen, et al.. (2015). Gambogic acid induces apoptosis in diffuse large B-cell lymphoma cells via inducing proteasome inhibition. Scientific Reports. 5(1). 9694–9694. 23 indexed citations
16.
Huang, Hongbiao, Yuning Liao, Ningning Liu, et al.. (2015). Two clinical drugs deubiquitinase inhibitor auranofin and aldehyde dehydrogenase inhibitor disulfiram trigger synergistic anti-tumor effects in vitro and in vivo. Oncotarget. 7(3). 2796–2808. 58 indexed citations
17.
Huang, Hongbiao, Ningning Liu, Xiaofen Li, et al.. (2014). Anacardic acid induces cell apoptosis associated with induction of ATF4-dependent endoplasmic reticulum stress. Toxicology Letters. 228(3). 170–178. 38 indexed citations
18.
Liu, Ningning, Chunjiao Liu, Xiaofen Li, et al.. (2014). A novel proteasome inhibitor suppresses tumor growth via targeting both 19S proteasome deubiquitinases and 20S proteolytic peptidases. Scientific Reports. 4(1). 5240–5240. 69 indexed citations
19.
20.
Shi, Xianping, Xin Chen, Xiaofen Li, et al.. (2013). Gambogic Acid Induces Apoptosis in Imatinib-Resistant Chronic Myeloid Leukemia Cells via Inducing Proteasome Inhibition and Caspase-Dependent Bcr-Abl Downregulation. Clinical Cancer Research. 20(1). 151–163. 114 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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