Jin-Ning Lou

39 total papers · 901 total citations
30 papers, 720 citations indexed

About

Jin-Ning Lou is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Jin-Ning Lou has authored 30 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Surgery and 5 papers in Genetics. Recurrent topics in Jin-Ning Lou's work include Angiogenesis and VEGF in Cancer (6 papers), Pancreatic function and diabetes (5 papers) and Organ Transplantation Techniques and Outcomes (4 papers). Jin-Ning Lou is often cited by papers focused on Angiogenesis and VEGF in Cancer (6 papers), Pancreatic function and diabetes (5 papers) and Organ Transplantation Techniques and Outcomes (4 papers). Jin-Ning Lou collaborates with scholars based in China, Switzerland and India. Jin-Ning Lou's co-authors include Georges E. Grau, Zhanzhang Wang, Yanqing Zhang, Zhenzhen Yang, Kai Wu, Xian Qi, Pierre Juillard, Geneviève Milon, Fabienne Tacchini‐Cottier and P F Piguet and has published in prestigious journals such as Clinical Cancer Research, Biochemical and Biophysical Research Communications and Annals of the New York Academy of Sciences.

In The Last Decade

Jin-Ning Lou

30 papers receiving 704 citations

Author Peers

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

Author						Papers	Cites
Jin-Ning Lou	178	155	115	115	101	30	720
Ulla Westin	205 1.2×	137 0.9×	59 0.5×	39 0.3×	115 1.1×	30	779
Jin Suk Ryu	312 1.8×	140 0.9×	80 0.7×	243 2.1×	49 0.5×	47	827
Simona Pompili	375 2.1×	101 0.7×	110 1.0×	25 0.2×	175 1.7×	33	832
Han Wu	184 1.0×	58 0.4×	57 0.5×	237 2.1×	30 0.3×	43	699
Lauren E. Himmel	283 1.6×	84 0.5×	66 0.6×	61 0.5×	64 0.6×	33	720
Małgorzata Rusak	133 0.7×	191 1.2×	36 0.3×	38 0.3×	125 1.2×	45	627
Yan Liu	363 2.0×	64 0.4×	61 0.5×	59 0.5×	39 0.4×	36	818
D. Joseph Demis	128 0.7×	248 1.6×	64 0.6×	24 0.2×	46 0.5×	33	780
Aijun Zhang	228 1.3×	200 1.3×	62 0.5×	46 0.4×	162 1.6×	57	892
Jun Yao	423 2.4×	174 1.1×	67 0.6×	18 0.2×	111 1.1×	28	897

Countries citing papers authored by Jin-Ning Lou

Since Specialization

Citations

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

Fields of papers citing papers by Jin-Ning Lou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Ning Lou. 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 Jin-Ning Lou. The network helps show where Jin-Ning Lou may publish in the future.

Co-authorship network of co-authors of Jin-Ning Lou

This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Ning Lou. A scholar is included among the top collaborators of Jin-Ning Lou 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 Jin-Ning Lou. Jin-Ning Lou 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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