Junru Wang

19 papers receiving 1.7k citations

Junru Wang's Hit Papers

ULK1·ATG13·FIP200 Complex Mediates mTOR Signaling and Is Essential for Autophagy 2009 · 1.2k citations
1.2k0+5+11Years since publication2505007501000

Peers

Junru Wang
Comparison fields: 5 of 102
  • Physiology 186
  • Epidemiology 1.0k
  • Cell Biology 319
  • Geriatrics and Gerontology 67
  • Aging 25
Replace Valentina Cianfanelli with:
Valentina Cianfanelli Italy
Jose Norberto S. Vargas United States
Saori R. Yoshii Japan
Francesca Nazio Italy
Du Lam United States
Elaine A. Dunlop United Kingdom
Álvaro F. Fernández Spain
Ahmet Uçar United Kingdom
Gian‐Luca McLelland Canada
Junru Wang relative to Valentina Cianfanelli Italy Valentina Cianfanelli's profile →
Citations per field
00.5×1.5×
Valentina Cianfanelli · 1×
Citations per year

Countries citing papers authored by Junru Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junru Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junru Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Junru Wang Line = papers co-authored together Junru Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ULK1·ATG13·FIP200 Complex Mediates mTOR Signaling and Is Essential for Autophagy
Hit paper breakdown →
20091198
2 2015195
3 201286
4 199883
5 201530
6 201528
7 201913
8 20239
9 20039
10 20036
11 20216
12 20225
13 20223
14 19993
15 20222
16
[Clinical observation on acupuncture combined with inductance coupling for treatment of delayed union and nonunion].
20082
17 20241
18 20251
19 20241
20 20250

About Junru Wang

Junru Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Epidemiology, Social Psychology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include Effects of Radiation Exposure (5 papers), Multisensory perception and integration (3 papers), Color perception and design (3 papers), Aesthetic Perception and Analysis (3 papers), Nutritional Studies and Diet (2 papers), Radiation Therapy and Dosimetry (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Physiology (186 citations), Epidemiology (1.0k citations), Cell Biology (319 citations), Geriatrics and Gerontology (67 citations) and Aging (25 citations). Junru Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xuejun Jiang, Ian G. Ganley, Du Lam, Xiaojun Ding, She Chen, Yan Feng, Rong Shi, Pui‐Mun Wong, Martin Hauer‐Jensen and Huaien Zheng. Their work appears in journals such as Radiation Research, Frontiers in Psychology, PLoS ONE, Nature Medicine 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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