Meng Dou

713 citations
25 papers · 531 · h-index 13

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Cancer, Lipids, and Metabolism
  • Nephrology top 10%
    • Acute Kidney Injury Research

Papers in

    • Extracellular vesicles in disease 4
    • Circular RNAs in diseases 2
    • Acute Kidney Injury Research 3
    • Chronic Kidney Disease and Diabetes 2
    • Dialysis and Renal Disease Management 2

Meng Dou

24 papers receiving 528 citations

Peers

Meng Dou
Comparison fields: 5 of 83
  • Cancer Research 170
  • Nephrology 63
  • Pulmonary and Respiratory Medicine 126
  • Molecular Biology 257
  • Transplantation 8
Replace Lang Shi with:
Lang Shi China
Aaron McClelland Australia
Xiaohui Liao China
Joon-Keun Park Germany
Yong‐Ke You China
Genyang Cheng China
Dawei Zou China
Fengxun Liu China
Guoyu Dai China
Yanbin Gao China
Meng Dou relative to Lang Shi China Lang Shi's profile →
Citations per field
00.5×6.8×
Lang Shi · 1×
Citations per year

Countries citing papers authored by Meng Dou

Since Specialization
Citations

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

Fields of papers citing papers by Meng Dou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020177
2 202045
3 201837
4 202036
5 201834
6 201925
7 202324
8 202416
9 201815
10 202015
11 202013
12 202313
13 201913
14 202311
15 202211
16 20249
17 20209
18 20227
19 20215
20 20204

About Meng Dou

Meng Dou is a scholar working on Molecular Biology, Nephrology, Cancer Research, Surgery and Pharmacology, having authored 25 papers that have together received 531 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), Acute Kidney Injury Research (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Circular RNAs in diseases (2 papers), Dialysis and Renal Disease Management (2 papers), Cancer-related molecular mechanisms research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Organ Transplantation Techniques and Outcomes (2 papers). The work is most often cited by research in Cancer Research (170 citations), Nephrology (63 citations), Pulmonary and Respiratory Medicine (126 citations), Molecular Biology (257 citations) and Transplantation (8 citations). Meng Dou has collaborated with scholars based in China, Australia and Netherlands. Frequent co-authors include Chenguang Ding, Jin Zheng, Heli Xiang, Xiaoming Ding, Puxun Tian, Bo Wang, Wujun Xue, Li Yang, Puxun Tian and Wujun Xue. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, Energy Sources Part A Recovery Utilization and Environmental Effects, Frontiers in Public Health, Toxicology and Applied Pharmacology and International Immunopharmacology.

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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