Mei Kang

113 total papers · 3.0k total citations
78 papers, 1.8k citations indexed

About

Mei Kang is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Mei Kang has authored 78 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Infectious Diseases, 31 papers in Epidemiology and 17 papers in Molecular Biology. Recurrent topics in Mei Kang's work include Antifungal resistance and susceptibility (23 papers), Fungal Infections and Studies (21 papers) and Antibiotic Resistance in Bacteria (17 papers). Mei Kang is often cited by papers focused on Antifungal resistance and susceptibility (23 papers), Fungal Infections and Studies (21 papers) and Antibiotic Resistance in Bacteria (17 papers). Mei Kang collaborates with scholars based in China, Australia and United States. Mei Kang's co-authors include Zhiyong Zong, Yu Feng, Li Wei, Chengcheng Wang, Sijun Dong, Lina Liu, Ting Ye, Qiansheng Huang, Heqing Shen and Yajie Chen and has published in prestigious journals such as Cell, Nature Communications and Clinical Infectious Diseases.

In The Last Decade

Mei Kang

76 papers receiving 1.8k citations

Hit Papers

Identification of novel m... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Mei Kang 552 508 478 381 366 78 1.8k
Tongjie Chai 217 0.4× 462 0.9× 355 0.7× 284 0.7× 385 1.1× 92 1.9k
Ana Alonso 551 1.0× 230 0.5× 537 1.1× 124 0.3× 731 2.0× 59 2.2k
Gernot Zarfel 890 1.6× 238 0.5× 155 0.3× 213 0.6× 391 1.1× 72 1.7k
Louise Pankhurst 518 0.9× 345 0.7× 336 0.7× 142 0.4× 440 1.2× 26 1.4k
Bart A. Eijkelkamp 983 1.8× 285 0.6× 276 0.6× 135 0.4× 913 2.5× 55 2.2k
Rebekah Henry 708 1.3× 192 0.4× 142 0.3× 135 0.4× 339 0.9× 51 1.8k
Tsung Chain Chang 313 0.6× 702 1.4× 798 1.7× 99 0.3× 600 1.6× 82 2.2k
Karlyn D. Beer 278 0.5× 804 1.6× 536 1.1× 147 0.4× 755 2.1× 42 2.1k
William J. Hausler 231 0.4× 383 0.8× 319 0.7× 137 0.4× 384 1.0× 52 1.9k
Carlos F. Amábile-Cuevas 740 1.3× 220 0.4× 270 0.6× 91 0.2× 809 2.2× 56 2.4k

Countries citing papers authored by Mei Kang

Since Specialization
Citations

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

Fields of papers citing papers by Mei Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Kang. A scholar is included among the top collaborators of Mei Kang 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 Kang. Mei Kang 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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