Mei Han

744 citations
18 papers · 569 indexed · h-index 10
Topics
T-cell and B-cell Immunology (4 papers)Renal Transplantation Outcomes and Treatments (3 papers)Neurobiology and Insect Physiology Research (3 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Mei Han

18 papers receiving 561 citations

Peers

Mei Han
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 241
  • Endocrine and Autonomic Systems 176
  • Immunology 132
  • Plant Science 110
  • Molecular Biology 100
Replace Leslie Klis McNeil with:
Leslie Klis McNeil United States
Bi Zhang China
Bowen Deng China
Guruswamy Mahesh United States
Mikhail Geyfman United States
Jingwei Gao China
Aletta C. Schnitzler United States
Jennifer Chang United States
Justin T. Hsieh United States
Zhanxiang Wang China
Mei Han relative to Leslie Klis McNeil United States Leslie Klis McNeil's profile →
Citations per field
00.5×10×15×22×
Leslie Klis McNeil · 1×
Citations per year

Countries citing papers authored by Mei Han

Since Specialization
Citations

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

Fields of papers citing papers by Mei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Han

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Han. A scholar is included among the top collaborators of Mei Han 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 Mei Han. Mei Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 2
2 1
3 1
4 60
5 1
6 6
7 22
8 42
9 6
10 16
11
Expression pattern of PGC-1α and Mfn2 in insulin resistance state and after recovery in rat
2
12 49
13 1
14 18
15 39
16 28
17 161
18 114

About Mei Han

Mei Han is a scholar working on Transplantation, Aging and Virology, having authored 18 papers that have together received 569 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Aging (52 citations), Transplantation (73 citations) and Endocrine and Autonomic Systems (176 citations). Mei Han has collaborated with scholars based in China, United States and France. Frequent co-authors include Paul H. Taghert, Peter Šťastný, Randall S. Hewes, Jae H. Park, Martha A. O’Brien, Bhavna Lavingia, Tarif Awad, Lin Wang, Gary D. Stormo and Russell N. Van Gelder. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Immunology.

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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