Jia-Ling Gao

14 total papers · 485 total citations
14 papers, 417 citations indexed

About

Jia-Ling Gao is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Jia-Ling Gao has authored 14 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Biomedical Engineering and 3 papers in Materials Chemistry. Recurrent topics in Jia-Ling Gao's work include Advanced biosensing and bioanalysis techniques (9 papers), RNA Interference and Gene Delivery (4 papers) and Mitochondrial Function and Pathology (4 papers). Jia-Ling Gao is often cited by papers focused on Advanced biosensing and bioanalysis techniques (9 papers), RNA Interference and Gene Delivery (4 papers) and Mitochondrial Function and Pathology (4 papers). Jia-Ling Gao collaborates with scholars based in China. Jia-Ling Gao's co-authors include Chengyu Li, Hong‐Wu Tang, Bei Zheng, Yuheng Liu, Dai‐Wen Pang, Junxian Liu, Yuheng Liu, Jiangtao Li, Yi Liu and Feng‐Lei Jiang and has published in prestigious journals such as ACS Nano, Analytical Chemistry and Journal of Hazardous Materials.

In The Last Decade

Jia-Ling Gao

14 papers receiving 415 citations

Author Peers

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

Author						Papers	Cites
Jia-Ling Gao	343	182	94	18	13	14	417
Janez Valant	132 0.4×	93 0.5×	221 2.4×	37 2.1×	17 1.3×	20	457
Kang Qin	269 0.8×	197 1.1×	81 0.9×	6 0.3×	51 3.9×	14	389
Iqra Fatima	171 0.5×	151 0.8×	143 1.5×	12 0.7×	59 4.5×	18	412
Anna Meneghello	253 0.7×	157 0.9×	62 0.7×	7 0.4×	65 5.0×	20	480
Christopher M. Crittenden	250 0.7×	61 0.3×	50 0.5×	18 1.0×	17 1.3×	21	382
Yekkuni L. Balachandran	84 0.2×	162 0.9×	195 2.1×	23 1.3×	15 1.2×	16	394
Xiaojun Qu	315 0.9×	133 0.7×	103 1.1×	6 0.3×	21 1.6×	18	386
Meng Qing	390 1.1×	89 0.5×	102 1.1×	24 1.3×	80 6.2×	16	453
Joanna Kosman	348 1.0×	135 0.7×	70 0.7×	15 0.8×	45 3.5×	22	394
Jennifer W. Sekowski	245 0.7×	62 0.3×	46 0.5×	8 0.4×	13 1.0×	18	404

Countries citing papers authored by Jia-Ling Gao

Since Specialization

Citations

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

Fields of papers citing papers by Jia-Ling Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia-Ling Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Jia-Ling Gao. A scholar is included among the top collaborators of Jia-Ling Gao 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 Jia-Ling Gao. Jia-Ling Gao 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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