Lanlan Jia

46 total papers · 559 total citations
31 papers, 293 citations indexed

About

Lanlan Jia is a scholar working on Molecular Biology, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Lanlan Jia has authored 31 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Biomedical Engineering and 6 papers in Epidemiology. Recurrent topics in Lanlan Jia's work include Nanoplatforms for cancer theranostics (5 papers), Nanoparticle-Based Drug Delivery (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Lanlan Jia is often cited by papers focused on Nanoplatforms for cancer theranostics (5 papers), Nanoparticle-Based Drug Delivery (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Lanlan Jia collaborates with scholars based in China, United States and Pakistan. Lanlan Jia's co-authors include Xiaoyu Xie, Sicen Wang, Qi Hu, Bo Xiao, Xiaoqiang Xia, Xueyan Zhen, Mina Chen, Xiaolin Zhang, Wanchun Yang and Yiyuan Cui and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lanlan Jia

28 papers receiving 292 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lanlan Jia	170	70	39	35	29	31	293
Jiaxin Zhang	147 0.9×	41 0.6×	26 0.7×	43 1.2×	14 0.5×	30	364
Agata Płoska	161 0.9×	63 0.9×	54 1.4×	15 0.4×	61 2.1×	26	340
Qing Zhou	104 0.6×	35 0.5×	69 1.8×	55 1.6×	14 0.5×	28	356
Minli Sun	90 0.5×	52 0.7×	16 0.4×	13 0.4×	24 0.8×	22	281
Guangru Li	133 0.8×	38 0.5×	16 0.4×	30 0.9×	13 0.4×	22	309
Lijiang Huang	123 0.7×	27 0.4×	18 0.5×	50 1.4×	22 0.8×	25	301
Eujin Lee	189 1.1×	61 0.9×	37 0.9×	17 0.5×	13 0.4×	21	354
Hyejeong Kim	151 0.9×	39 0.6×	19 0.5×	16 0.5×	37 1.3×	32	361
Marta Tkacz	126 0.7×	34 0.5×	24 0.6×	18 0.5×	10 0.3×	32	315
Huawei Wang	147 0.9×	24 0.3×	36 0.9×	38 1.1×	16 0.6×	23	329

Countries citing papers authored by Lanlan Jia

Since Specialization

Citations

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

Fields of papers citing papers by Lanlan Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanlan Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Lanlan Jia. A scholar is included among the top collaborators of Lanlan Jia 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 Lanlan Jia. Lanlan Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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