Jinru Wei

770 citations
15 papers · 301 · h-index 8

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Jinru Wei

15 papers receiving 291 citations

Peers

Jinru Wei
Comparison fields: 5 of 66
  • Immunology 64
  • Cancer Research 37
  • Infectious Diseases 36
  • Neurology 25
  • Molecular Biology 110
Replace Madelene Lindkvist with:
Madelene Lindkvist Sweden
Po‐Ku Chen Taiwan
Giuseppe Biondi Italy
Jiaxin Shi China
Henry Sung-Ching Wong Taiwan
Fereshte Abdolmaleki Iran
Lingfang Zhuang China
Qinhan Li China
Wendy Demos United States
Jinru Wei relative to Madelene Lindkvist Sweden Madelene Lindkvist's profile →
Citations per field
00.5×2×3×3.7×
Madelene Lindkvist · 1×
Citations per year

Countries citing papers authored by Jinru Wei

Since Specialization
Citations

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

Fields of papers citing papers by Jinru Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jinru Wei, 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 Jinru Wei Line = papers co-authored together Jinru Wei links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201478
2 200553
3 202151
4 201930
5 202016
6 201314
7 201814
8 20139
9 20158
10 20187
11 20217
12 20165
13
RUNX1 and CCL3 in Diabetes Mellitus-Related Coronary Artery Disease: A Bioinformatics Analysis
20224
14 20083
15 20252

About Jinru Wei

Jinru Wei is a scholar working on Cardiology and Cardiovascular Medicine, Immunology, Physiology, Epidemiology and Molecular Biology, having authored 15 papers that have together received 301 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (4 papers), Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cardiovascular Function and Risk Factors (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Immune Cell Function and Interaction (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Immunology (64 citations), Cancer Research (37 citations), Infectious Diseases (36 citations), Neurology (25 citations) and Molecular Biology (110 citations). Jinru Wei has collaborated with scholars based in China and United States. Frequent co-authors include Xiaoning Zhong, Guangnan Liu, Minchao Duan, Donghua Zou, Guo‐Xiong Deng, Nan Jin, Guang Wang, Youfei Guan, Xian Wang and Jieming Mao. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Clinical and Experimental Hypertension, Clinical Interventions in Aging, Infectious Diseases of Poverty and Metabolism.

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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