Xia Meng

4.0k citations
146 papers · 2.6k · h-index 25

Impact in

  • Neurology top 5%
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Neurological Disease Mechanisms and Treatments
    • Acute Ischemic Stroke Management
    • Liver Disease Diagnosis and Treatment

Papers in

Xia Meng

138 papers receiving 2.6k citations

Peers

Xia Meng
Comparison fields: 5 of 117
  • Neurology 191
  • Epidemiology 637
  • Cardiology and Cardiovascular Medicine 305
  • Rehabilitation 84
  • Endocrinology, Diabetes and Metabolism 208
Replace Dongling Sun with:
Dongling Sun China
Chiaki Yokota Japan
Wendan Tao China
Shoujiang You China
Stephan Lüders Germany
Huaguang Zheng China
Riccardo Di Sciacca Italy
Yingting Zuo China
Stein Harald Johnsen Norway
Xia Meng relative to Dongling Sun China Dongling Sun's profile →
Citations per field
00.5×2×3×4.4×
Dongling Sun · 1×
Citations per year

Countries citing papers authored by Xia Meng

Since Specialization
Citations

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

Fields of papers citing papers by Xia Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015163
2 2013124
3 2021115
4 202290
5 201684
6 202382
7 202082
8 202381
9 201974
10 201870
11 201967
12 202367
13 202464
14 201460
15 201951
16 202251
17 202235
18 202233
19 201532
20 201832

About Xia Meng

Xia Meng is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Neurology, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 146 papers that have together received 2.6k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (39 papers), Antiplatelet Therapy and Cardiovascular Diseases (11 papers), Cerebrovascular and Carotid Artery Diseases (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Chronic Kidney Disease and Diabetes (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (4 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Neurology (191 citations), Epidemiology (637 citations), Cardiology and Cardiovascular Medicine (305 citations), Rehabilitation (84 citations) and Endocrinology, Diabetes and Metabolism (208 citations). Xia Meng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yongjun Wang, Yuesong Pan, Hao Li, Anxin Wang, Xingquan Zhao, Liping Liu, Yilong Wang, Jing Jing, Yilong Wang and Yingting Zuo. Their work appears in journals such as Stroke and Vascular Neurology, Stroke, CNS Neuroscience & Therapeutics, Journal of the American Heart Association and European Journal of Neurology.

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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