Rumeng Chen

403 citations
28 papers · 263 indexed · 1 hit paper · h-index 11
Topics
Genetic Associations and Epidemiology (7 papers)MicroRNA in disease regulation (4 papers)Hormonal Regulation and Hypertension (3 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Rumeng Chen

25 papers receiving 262 citations

Hit Papers

Endocrine and metabolic factors and the risk of idiopathi...2024202620252024102030

Peers

Rumeng Chen
Comparison fields: 5 of 86
  • Molecular Biology 79
  • Genetics 55
  • Cancer Research 39
  • Endocrinology, Diabetes and Metabolism 36
  • Physiology 36
Replace Jingjing Da with:
Jingjing Da China
Mehrane Mehramiz Iran
Xinyi Tang China
Yanhui Sheng China
Agnieszka Korobowicz Poland
Louis M. Cosentino United States
Xinyu Shao China
Rumeng Chen relative to Jingjing Da China Jingjing Da's profile →
Citations per field
00.5×1.5×
Jingjing Da · 1×
Citations per year

Countries citing papers authored by Rumeng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Rumeng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rumeng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Rumeng Chen. A scholar is included among the top collaborators of Rumeng Chen 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 Rumeng Chen. Rumeng Chen 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
#WorkIndexed citations
1 1
2 5
3 0
4 11
5 0
6 5
7 1
8 6
9
Endocrine and metabolic factors and the risk of idiopathic pulmonary fibrosis: a Mendelian randomization studybreakdown →
38
10 16
11 17
12 6
13 14
14 21
15 29
16 20
17 13
18 6
19 2
20 3

About Rumeng Chen

Rumeng Chen is a scholar working on Complementary and alternative medicine, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 28 papers that have together received 263 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), MicroRNA in disease regulation (4 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Cancer Research (39 citations), Endocrinology, Diabetes and Metabolism (36 citations) and Genetics (55 citations). Rumeng Chen has collaborated with scholars based in China, United States and France. Frequent co-authors include Meihua Bao, Shuling Xu, Yining Ding, Sen Li, Binsheng He, Yan Jiang, Bin Zeng, Ting Jiang, Panpan Wang and Xiaofeng Zhu. Their work appears in journals such as Hypertension, Gene and Journal of Affective Disorders.

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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