Jun Ren

8.0k total citations
167 papers, 3.7k citations indexed

About

Jun Ren is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Jun Ren has authored 167 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Genetics, 49 papers in Cancer Research and 39 papers in Molecular Biology. Recurrent topics in Jun Ren's work include Genetic and phenotypic traits in livestock (91 papers), Genetic Mapping and Diversity in Plants and Animals (86 papers) and Cancer-related molecular mechanisms research (47 papers). Jun Ren is often cited by papers focused on Genetic and phenotypic traits in livestock (91 papers), Genetic Mapping and Diversity in Plants and Animals (86 papers) and Cancer-related molecular mechanisms research (47 papers). Jun Ren collaborates with scholars based in China, Germany and United Kingdom. Jun Ren's co-authors include Lusheng Huang, Huashui Ai, Yuanmei Guo, Junwu Ma, Shijun Xiao, Bin Yang, Nengshui Ding, Congying Chen, Xianhua Xie and Hao Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Jun Ren

160 papers receiving 3.6k citations

Peers

Jun Ren
Comparison fields: 5 of 128
  • Genetics 2.4k
  • Cancer Research 1.0k
  • Molecular Biology 819
  • Animal Science and Zoology 727
  • Infectious Diseases 311
Replace Xiaoxiang Hu with:
Xiaoxiang Hu China
M. F. Rothschild United States
Eduardo Casas United States
R. T. Stone United States
Michael P. Heaton United States
Pamela Wiener United Kingdom
Huashui Ai China
Alain Vanderplasschen Belgium
Rachel Hawken Australia
Claus B. Jørgensen Denmark
Xiaoxiang Hu China View profile →
Citations per field, relative to Jun Ren
Jun Ren · 1×
Citations per year, relative to Jun Ren
Jun Ren · 1×

Countries citing papers authored by Jun Ren

Since Specialization
Citations

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

Fields of papers citing papers by Jun Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Ren

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 0
4 20
5 10
6 3
7
An Advanced Data-Driven Hybrid Model of SARIMA-NNNAR for Tuberculosis Incidence Time Series Forecasting in Qinghai Province, China
0
8 35
9 18
10 29
11 9
12 8
13 21
14 43
15 29
16
Application of mean shift algorithm for dynamic-object-selection of LAMOST
1
17
Polymorphisms of the MC4R Causative Mutation in Chinese and Western Pig Breeds and Its Effects on Growth and Fatness Traits
2
18 1
19 2
20
RAPD study on inter-species relationships in Calligonum
10

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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