Jingyu Lu

53 total papers · 918 total citations
40 papers, 708 citations indexed

About

Jingyu Lu is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Jingyu Lu has authored 40 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Surgery. Recurrent topics in Jingyu Lu's work include Hormonal Regulation and Hypertension (5 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Jingyu Lu is often cited by papers focused on Hormonal Regulation and Hypertension (5 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Jingyu Lu collaborates with scholars based in China, United States and France. Jingyu Lu's co-authors include Ruqian Zhao, Sandra Disse-Nicodème, Jean-Marie Gasc, Céline Delaloy, Anne-Marie Houot, Pierre Corvol, Xavier Jeunemaı̂tre, Yanyan Zhao, Yimin Jia and Shiyan Sui and has published in prestigious journals such as PLoS ONE, Molecular and Cellular Biology and Scientific Reports.

In The Last Decade

Jingyu Lu

38 papers receiving 699 citations

Author Peers

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

Author						Papers	Cites
Jingyu Lu	324	121	91	84	77	40	708
Jing Chen	265 0.8×	63 0.5×	85 0.9×	41 0.5×	59 0.8×	44	771
Carmela Fiorito	320 1.0×	52 0.4×	66 0.7×	122 1.5×	94 1.2×	38	899
In Jin Kim	198 0.6×	82 0.7×	96 1.1×	62 0.7×	65 0.8×	31	644
Eman Salah	197 0.6×	104 0.9×	103 1.1×	35 0.4×	38 0.5×	35	696
Ilijana Grigorov	281 0.9×	61 0.5×	162 1.8×	82 1.0×	64 0.8×	58	785
Lipeng Wang	297 0.9×	51 0.4×	55 0.6×	60 0.7×	68 0.9×	29	817
Michèle G. Brunette	318 1.0×	102 0.8×	103 1.1×	144 1.7×	40 0.5×	34	722
Rexhep Rexhepaj	385 1.2×	154 1.3×	142 1.6×	108 1.3×	34 0.4×	31	742
Csaba Bereczki	201 0.6×	76 0.6×	75 0.8×	49 0.6×	36 0.5×	67	822
Gemma Aragonès	328 1.0×	154 1.3×	44 0.5×	64 0.8×	28 0.4×	36	893

Countries citing papers authored by Jingyu Lu

Since Specialization

Citations

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

Fields of papers citing papers by Jingyu Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyu Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyu Lu. A scholar is included among the top collaborators of Jingyu Lu 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 Jingyu Lu. Jingyu Lu 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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