Xiandong Meng

2.2k citations
26 papers · 811 indexed · 1 hit paper · h-index 14
Topics
Genomics and Phylogenetic Studies (10 papers)Algorithms and Data Compression (10 papers)Neuroscience and Neuropharmacology Research (3 papers)

In The Last Decade

Xiandong Meng

26 papers receiving 802 citations

Hit Papers

A widely distributed gene cluster compensates for uricase...20232026202420252023255075

Peers

Xiandong Meng
Comparison fields: 5 of 120
  • Molecular Biology 489
  • Plant Science 139
  • Pharmacology 73
  • Cellular and Molecular Neuroscience 65
  • Ecology 62
Replace Ettore Mosca with:
Ettore Mosca Italy
Brynn H. Voy United States
Yongjie Li China
Myung-Jun Kim South Korea
Antonio J. Pérez‐Pulido Spain
Raquel M. Silva Portugal
Yanan Liu China
Kathryn L. Schueler United States
Jian Huang China
Nobuo Nakanishi Japan
Xiandong Meng relative to Ettore Mosca Italy Ettore Mosca's profile →
Citations per field
00.5×4.4×
Ettore Mosca · 1×
Citations per year

Countries citing papers authored by Xiandong Meng

Since Specialization
Citations

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

Fields of papers citing papers by Xiandong Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiandong Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiandong Meng. A scholar is included among the top collaborators of Xiandong Meng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiandong Meng. Xiandong Meng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 35
2 15
3
A widely distributed gene cluster compensates for uricase loss in hominidsbreakdown →
75
4 110
5 10
6 2
7 5
8 11
9 5
10 275
11 2
12 17
13 19
14 24
15
Astrocytic expression of cannabinoid type 1 receptor in rat and human sclerotic hippocampi.
14
16 74
17 13
18 18
19 6
20 6

About Xiandong Meng

Xiandong Meng is a scholar working on Artificial Intelligence, Hardware and Architecture and Developmental Neuroscience, having authored 26 papers that have together received 811 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Algorithms and Data Compression (10 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Molecular Biology (489 citations), Nephrology (47 citations) and Pharmacology (73 citations). Xiandong Meng has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Zhong Wang, Vipin Chaudhary, Elizabeth Tseng, Feng Chen, Sean Gordon, Jonathan S. Schilling, Dongwan Kang, Jiwei Zhang, Jason G. Underwood and Melania Figueroa. Their work appears in journals such as Nature, Science and Cell.

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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