Jing Lv

1.0k total citations
28 papers, 837 citations indexed

About

Jing Lv is a scholar working on Organic Chemistry, Molecular Biology and Water Science and Technology. According to data from OpenAlex, Jing Lv has authored 28 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organic Chemistry, 7 papers in Molecular Biology and 4 papers in Water Science and Technology. Recurrent topics in Jing Lv's work include Surfactants and Colloidal Systems (5 papers), Environmental remediation with nanomaterials (4 papers) and Nanomaterials for catalytic reactions (3 papers). Jing Lv is often cited by papers focused on Surfactants and Colloidal Systems (5 papers), Environmental remediation with nanomaterials (4 papers) and Nanomaterials for catalytic reactions (3 papers). Jing Lv collaborates with scholars based in China, Poland and Hong Kong. Jing Lv's co-authors include Liu Na, Yuting Zhang, Weihong Qiao, Yadong Yang, Qiaoying Wang, Yingying Liu, Chao Xu, Peng Liu, Chunyu Liu and Anirudh Srivastava and has published in prestigious journals such as Journal of Hazardous Materials, Langmuir and Chemical Communications.

In The Last Decade

Jing Lv

24 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Lv China 15 363 297 236 160 121 28 837
Xiaonan Wei China 20 385 1.1× 148 0.5× 269 1.1× 332 2.1× 150 1.2× 56 1.2k
Timothy G. Carter United States 8 288 0.8× 246 0.8× 143 0.6× 239 1.5× 49 0.4× 8 762
Haiyan Huang China 19 366 1.0× 221 0.7× 230 1.0× 263 1.6× 158 1.3× 55 1.2k
Mingzhu Zong China 14 400 1.1× 123 0.4× 364 1.5× 88 0.6× 87 0.7× 16 841
Qing‐Fu Zeng China 18 563 1.6× 339 1.1× 235 1.0× 314 2.0× 47 0.4× 57 1.1k
Jiewei Zheng China 15 419 1.2× 179 0.6× 193 0.8× 210 1.3× 75 0.6× 32 999
Anindya Ghosh India 18 240 0.7× 353 1.2× 312 1.3× 475 3.0× 97 0.8× 32 1.5k
Qianqian Dong China 19 219 0.6× 128 0.4× 328 1.4× 234 1.5× 110 0.9× 44 966
S. Martinez–Vargas Mexico 15 273 0.8× 237 0.8× 90 0.4× 257 1.6× 38 0.3× 27 846

Countries citing papers authored by Jing Lv

Since Specialization
Citations

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

Fields of papers citing papers by Jing Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Lv. A scholar is included among the top collaborators of Jing Lv 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 Jing Lv. Jing Lv 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
2.
Li, J. Y., Jiachun Su, Yong Ding, et al.. (2025). Enhanced methyl nitrite carbonylation to dimethyl carbonate via fully exposed palladium cluster catalysts. Chemical Communications. 61(28). 5285–5288.
3.
Lv, Jing, et al.. (2025). Machine Learning for Discriminating Microcytic Hypochromic Anemia Based on Erythrocyte Parameters. International Journal of Laboratory Hematology. 47(6). 1196–1201.
4.
Meng, Han, Xuening Zhang, Haozhe Zhang, et al.. (2025). Ni nanoparticles with high thermal stability for methane dry reforming. Frontiers of Chemical Science and Engineering. 19(8).
5.
Ji, Jia, Han Wu, Yunxia Li, et al.. (2024). A novel CuII4 cluster based on Schiff base ligand: Crystal structure, efficient conversion of CO2 to cyclic carbonates and biological activity. Polyhedron. 262. 117165–117165. 5 indexed citations
6.
Chen, Hui, et al.. (2024). Exploring the clinical and cellular mechanisms of LncRNA-KCNQ1OT1/miR-29a-3p/SOCS3 molecular axis in cases of unexplained recurrent spontaneous abortion. The Journal of Maternal-Fetal & Neonatal Medicine. 37(1). 2337723–2337723.
7.
Wang, Dan, et al.. (2023). Fe-Incorporated Nickel-Based Bimetallic Metal–Organic Frameworks for Enhanced Electrochemical Oxygen Evolution. Molecules. 28(11). 4366–4366. 12 indexed citations
8.
Liu, Fangbing, Yongwei Su, Jing Lv, et al.. (2021). Cotargeting of Bcl-2 and Mcl-1 shows promising antileukemic activity against AML cells including those with acquired cytarabine resistance. Experimental Hematology. 105. 39–49. 13 indexed citations
9.
Jia, Wei, et al.. (2021). Hydrazine hydrate-assisted adjustment of sulfur-rich MoS2 as hydrogen evolution electrocatalyst. Journal of Alloys and Compounds. 885. 160990–160990. 19 indexed citations
10.
Zhang, Yuting, Liu Na, Yadong Yang, et al.. (2020). Novel carbothermal synthesis of Fe, N co-doped oak wood biochar (Fe/N-OB) for fast and effective Cr(VI) removal. Colloids and Surfaces A Physicochemical and Engineering Aspects. 600. 124926–124926. 74 indexed citations
11.
Chen, Zhuo, et al.. (2020). Effect of the IDO Gene on Pregnancy in Mice with Recurrent Pregnancy Loss. Reproductive Sciences. 28(1). 52–59. 13 indexed citations
12.
Zhang, Yuting, et al.. (2019). Enhanced removal of aqueous Cr(VI) by a green synthesized nanoscale zero-valent iron supported on oak wood biochar. Chemosphere. 245. 125542–125542. 148 indexed citations
13.
Na, Liu, Yuting Zhang, Chao Xu, et al.. (2019). Removal mechanisms of aqueous Cr(VI) using apple wood biochar: a spectroscopic study. Journal of Hazardous Materials. 384. 121371–121371. 175 indexed citations
14.
Sun, Ruiyang, et al.. (2018). Delivery of docetaxel using pH-sensitive liposomes based on D-α-tocopheryl poly(2-ethyl-2-oxazoline) succinate: Comparison with PEGylated liposomes. Asian Journal of Pharmaceutical Sciences. 14(4). 391–404. 18 indexed citations
15.
Srivastava, Anirudh, Chunyu Liu, Hui Fang, Jing Lv, & Weihong Qiao. (2017). Interaction and binding efficiency of cationic drug chlorpheniramine maleate – anionic amino acid gemini surfactants mixture as media for the synthesis of silver nanoparticles. Colloids and Surfaces A Physicochemical and Engineering Aspects. 529. 686–695. 24 indexed citations
16.
Lv, Jing, et al.. (2017). miR‐100 promotes the proliferation of spermatogonial stem cells via regulating Stat3. Molecular Reproduction and Development. 84(8). 693–701. 31 indexed citations
17.
Lv, Jing, Weihong Qiao, & Zongshi Li. (2016). Vesicles from pH-regulated reversible gemini amino-acid surfactants as nanocapsules for delivery. Colloids and Surfaces B Biointerfaces. 146. 523–531. 28 indexed citations
18.
Lv, Jing & Weihong Qiao. (2015). Unusual pH-regulated surface adsorption and aggregation behavior of a series of asymmetric gemini amino-acid surfactants. Soft Matter. 11(13). 2577–2585. 27 indexed citations
19.
Lv, Jing, et al.. (2014). Synthesis and Surface Properties of a pH-Regulated and pH-Reversible Anionic Gemini Surfactant. Langmuir. 30(28). 8258–8267. 55 indexed citations
20.
Lv, Jing, et al.. (2009). The Impedance Property of Electrode Used in Electrical Bio-Impedance Measurement. 9. 1–3. 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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