Jianluan Ren

47 total papers · 891 total citations
42 papers, 638 citations indexed

About

Jianluan Ren is a scholar working on Endocrinology, Molecular Biology and Ecology. According to data from OpenAlex, Jianluan Ren has authored 42 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Endocrinology, 16 papers in Molecular Biology and 16 papers in Ecology. Recurrent topics in Jianluan Ren's work include Escherichia coli research studies (19 papers), Bacteriophages and microbial interactions (16 papers) and Salmonella and Campylobacter epidemiology (10 papers). Jianluan Ren is often cited by papers focused on Escherichia coli research studies (19 papers), Bacteriophages and microbial interactions (16 papers) and Salmonella and Campylobacter epidemiology (10 papers). Jianluan Ren collaborates with scholars based in China, France and India. Jianluan Ren's co-authors include Jianjun Dai, Fang Tang, Xiangkai Zhuge, Feng Xue, Sun Yu, Feng Xue, Yuan Jiang, Dexin Zeng, Feng Xue and Min Jiang and has published in prestigious journals such as Nature Communications, Journal of Virology and Infection and Immunity.

In The Last Decade

Jianluan Ren

38 papers receiving 632 citations

Author Peers

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

Author Last Decade Papers Cites
Jianluan Ren 251 222 208 150 146 42 638
Derek Pickard 165 0.7× 342 1.5× 263 1.3× 132 0.9× 154 1.1× 17 766
Dianna M. Hocking 281 1.1× 264 1.2× 94 0.5× 80 0.5× 141 1.0× 31 743
Cecilia A. Silva-Valenzuela 267 1.1× 203 0.9× 238 1.1× 187 1.2× 94 0.6× 20 625
P. B. Smith 248 1.0× 224 1.0× 105 0.5× 129 0.9× 90 0.6× 41 761
Xiaolu Shi 282 1.1× 199 0.9× 111 0.5× 345 2.3× 161 1.1× 65 779
Ph. Goullet 248 1.0× 301 1.4× 72 0.3× 123 0.8× 144 1.0× 35 677
Akiyo Nakano 151 0.6× 285 1.3× 64 0.3× 140 0.9× 254 1.7× 65 792
Yizhi Tang 95 0.4× 235 1.1× 160 0.8× 312 2.1× 168 1.2× 36 761
Vijaya Kumar Deekshit 152 0.6× 165 0.7× 76 0.4× 138 0.9× 221 1.5× 42 680
Ruibai Wang 212 0.8× 144 0.6× 61 0.3× 86 0.6× 146 1.0× 25 553

Countries citing papers authored by Jianluan Ren

Since Specialization
Citations

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

Fields of papers citing papers by Jianluan Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianluan Ren

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