Meixia Pan

1.5k citations
40 papers · 1.0k indexed · h-index 19
Topics
Adipose Tissue and Metabolism (9 papers)Lipid metabolism and biosynthesis (8 papers)Metabolomics and Mass Spectrometry Studies (6 papers)
Journals
Journal of Biological ChemistryNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Meixia Pan

38 papers receiving 980 citations

Peers

Meixia Pan
Comparison fields: 5 of 108
  • Molecular Biology 497
  • Cancer Research 198
  • Physiology 168
  • Epidemiology 115
  • Biochemistry 108
Replace Young-Myeong Kim with:
Young-Myeong Kim South Korea
Elisabetta De Marinis Italy
ZhongMao Guo United States
Thomas P. Huecksteadt United States
Cristina Sánchez‐Ramos Spain
Bradley T. Andresen United States
Jie Xiong China
Anne‐Laure Guihot France
Ming Lu China
Meixia Pan relative to Young-Myeong Kim South Korea Young-Myeong Kim's profile →
Citations per field
00.5×7.1×
Young-Myeong Kim · 1×
Citations per year

Countries citing papers authored by Meixia Pan

Since Specialization
Citations

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

Fields of papers citing papers by Meixia Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meixia Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Meixia Pan. A scholar is included among the top collaborators of Meixia Pan 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 Meixia Pan. Meixia Pan 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 2
2 2
3 9
4 3
5 28
6 10
7 24
8 18
9 19
10 18
11 29
12 19
13 4
14 1
15 3
16 23
17 10
18 49
19
Effectiveness of Independent Director and Related Transactions of Controlling Shareholders
2
20 20

About Meixia Pan

Meixia Pan is a scholar working on Biochemistry, Behavioral Neuroscience and Physiology, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Lipid metabolism and biosynthesis (8 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). The work is most often cited by research in Biochemistry (108 citations), Cancer Research (198 citations) and Behavioral Neuroscience (27 citations). Meixia Pan has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Xianlin Han, Philip A. Stork, Tullio Florio, Cai‐Xia Zhang, Hongyu Han, Zhuoneng Li, Zhihua Tian, Chunming Cheng, Chunyan Wang and Rui Zhang. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

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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