Xiaomeng Li

1.9k citations
55 papers · 1.4k indexed · h-index 20
Topics
Ubiquitin and proteasome pathways (4 papers)Histone Deacetylase Inhibitors Research (4 papers)Advanced biosensing and bioanalysis techniques (4 papers)

In The Last Decade

Xiaomeng Li

54 papers receiving 1.4k citations

Peers

Xiaomeng Li
Comparison fields: 5 of 124
  • Molecular Biology 814
  • Oncology 151
  • Organic Chemistry 151
  • Geriatrics and Gerontology 102
  • Genetics 94
Replace Daiqing Liao with:
Daiqing Liao United States
James J. Pesavento United States
Ayako Ohno Japan
Stefan Boerno Germany
Siegfried Reipert Austria
Uri Moran Israel
Edward J. Brignole United States
Danièle Hernandez‐Verdun France
Andrzej Górecki Poland
Xiaomeng Li relative to Daiqing Liao United States Daiqing Liao's profile →
Citations per field
00.5×
Daiqing Liao · 1×
Citations per year

Countries citing papers authored by Xiaomeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomeng Li. A scholar is included among the top collaborators of Xiaomeng Li 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 Xiaomeng Li. Xiaomeng Li 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 1
2 1
3 2
4 2
5 0
6 11
7 8
8 11
9 5
10 32
11 2
12 4
13 106
14 83
15 27
16 55
17
Cloning and expression of leptin gene in Acrossocheilus fasciatus during fasting and refeeding.
1
18
Association analysis between adipocyte differentiation-related protein genes and carcass traits in sansui duck .
3
19 12
20 28

About Xiaomeng Li

Xiaomeng Li is a scholar working on Aging, Reproductive Medicine and Ecological Modeling, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Histone Deacetylase Inhibitors Research (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Geriatrics and Gerontology (102 citations), Molecular Biology (814 citations) and Physiology (39 citations). Xiaomeng Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiang Li, Xiucong Bao, Tangpo Yang, Xin Li, Wan‐Jin Liao, Da‐Yong Zhang, Zheng Liu, Yi Man Eva Fung, Quan Hao and Yi Wang. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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