Wenjing Ruan

1.3k citations
36 papers · 1.0k indexed · h-index 19
Topics
Growth Hormone and Insulin-like Growth Factors (10 papers)Metabolism, Diabetes, and Cancer (4 papers)Cancer, Hypoxia, and Metabolism (4 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Wenjing Ruan

36 papers receiving 1.0k citations

Peers

Wenjing Ruan
Comparison fields: 5 of 101
  • Molecular Biology 611
  • Cell Biology 160
  • Endocrinology, Diabetes and Metabolism 150
  • Cancer Research 140
  • Cellular and Molecular Neuroscience 129
Replace Dana Chuderland with:
Dana Chuderland Israel
Hadara Rubinfeld Israel
Tracey L. Fisher United States
Steve Stippec United States
Marina Inés Flamini Argentina
Mateus T. Guerra United States
Olivier R. Baris France
Teresa L. Mastracci United States
Federica Morani Italy
Anne‐Marie Lefrançois‐Martinez France
Wenjing Ruan relative to Dana Chuderland Israel Dana Chuderland's profile →
Citations per field
00.5×1.5×1.9×
Dana Chuderland · 1×
Citations per year

Countries citing papers authored by Wenjing Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Wenjing Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjing Ruan

This figure shows the co-authorship network connecting the top 25 collaborators of Wenjing Ruan. A scholar is included among the top collaborators of Wenjing Ruan 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 Wenjing Ruan. Wenjing Ruan 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 4
2 16
3 22
4 13
5 12
6 27
7 20
8 14
9 44
10 28
11 15
12 15
13 34
14 26
15 87
16 155
17 32
18 9
19 28
20 69

About Wenjing Ruan

Wenjing Ruan is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology and Cancer Research, having authored 36 papers that have together received 1.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (10 papers), Metabolism, Diabetes, and Cancer (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Cell Biology (160 citations), Cancer Research (140 citations) and Endocrinology, Diabetes and Metabolism (150 citations). Wenjing Ruan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Maode Lai, Maode Lai, Yong Rao, Peng Pang, Jianguang Zhou, Jie Lin, Kejing Ying, Yu Ma, Fangying Xu and Julie Desbarats. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and PLoS ONE.

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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