Xingjun Meng

730 citations
20 papers · 543 · h-index 15

Impact in

Papers in

Xingjun Meng

20 papers receiving 540 citations

Peers

Xingjun Meng
Comparison fields: 5 of 70
  • Biological Psychiatry 23
  • Neurology 76
  • Cellular and Molecular Neuroscience 150
  • Neurology 92
  • Cancer Research 76
Replace Mingxia Bi with:
Mingxia Bi China
Xiangdong Hua China
Huichun Tong China
Mei‐Hong Lu China
Lucie Delattre France
Thorsten Mengesdorf Germany
Saumyendra N. Sarkar United States
Carla Lopes Portugal
Maria Josè Sisalli Italy
Giusy Laudati Italy
Xingjun Meng relative to Mingxia Bi China Mingxia Bi's profile →
Citations per field
00.5×1.5×2.2×
Mingxia Bi · 1×
Citations per year

Countries citing papers authored by Xingjun Meng

Since Specialization
Citations

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

Fields of papers citing papers by Xingjun Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201782
2 201875
3 201944
4 202039
5 201937
6 201934
7 201432
8 201729
9 202122
10 202120
11 202219
12 202119
13
Elevated DNA polymerase iota (Poli) is involved in the acquisition of aggressive phenotypes of human esophageal squamous cell cancer.
201517
14 202115
15 202214
16 202112
17 202011
18
Microarray analysis of anti-cancer effects of docosahexaenoic acid on human colon cancer model in nude mice.
201511
19 20227
20 20234

About Xingjun Meng

Xingjun Meng is a scholar working on Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience, Neurology and Obstetrics and Gynecology, having authored 20 papers that have together received 543 indexed citations. Recurring topics across this work include Gestational Diabetes Research and Management (4 papers), Alzheimer's disease research and treatments (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), MicroRNA in disease regulation (3 papers), RNA regulation and disease (3 papers), Histone Deacetylase Inhibitors Research (2 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Biological Psychiatry (23 citations), Neurology (76 citations), Cellular and Molecular Neuroscience (150 citations), Neurology (92 citations) and Cancer Research (76 citations). Xingjun Meng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shaogang Qu, Huichun Tong, Yunlong Zhang, Xiuping Zhang, Dongmei Mai, Xiaojuan Wu, Xiuping Zhang, Xiaoliang He, Lingli Lu and Pingyi Xu. Their work appears in journals such as ACS Chemical Neuroscience, The International Journal of Biochemistry & Cell Biology, Maturitas, Frontiers in Endocrinology and Radiation Oncology.

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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