Mei Han

28 total papers · 730 total citations
18 papers, 569 citations indexed

About

Mei Han is a scholar working on Immunology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mei Han has authored 18 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mei Han's 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). Mei Han is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Mei Han collaborates with scholars based in China, United States and Taiwan. Mei Han's co-authors include Paul H. Taghert, Peter Šťastný, Martha A. O’Brien, Bhavna Lavingia, Jae H. Park, Randall S. Hewes, Russell N. Van Gelder, Yiing Lin, Lin Wang and Tarif Awad and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Immunology.

In The Last Decade

Mei Han

18 papers receiving 561 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mei Han	242	176	132	111	101	18	569
Jingwei Gao	160 0.7×	159 0.9×	43 0.3×	77 0.7×	182 1.8×	37	625
Bowen Deng	383 1.6×	144 0.8×	112 0.8×	44 0.4×	181 1.8×	33	661
Guruswamy Mahesh	165 0.7×	204 1.2×	59 0.4×	96 0.9×	225 2.2×	14	550
Ivette F. Emery	288 1.2×	164 0.9×	74 0.6×	105 0.9×	198 2.0×	17	573
Helena A. D. Johard	481 2.0×	150 0.9×	98 0.7×	54 0.5×	105 1.0×	12	555
Mingyao Yang	307 1.3×	58 0.3×	87 0.7×	91 0.8×	329 3.3×	12	577
C. Travo	208 0.9×	32 0.2×	44 0.3×	14 0.1×	147 1.5×	14	534
E. Thomas Danielsen	232 1.0×	30 0.2×	76 0.6×	41 0.4×	166 1.6×	14	522
Qiaofang Chen	116 0.5×	29 0.2×	43 0.3×	67 0.6×	215 2.1×	14	576
Anne Fröhlich	241 1.0×	33 0.2×	86 0.7×	33 0.3×	304 3.0×	32	524

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

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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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