Mei-Ling Han

27 total papers · 457 total citations
21 papers, 371 citations indexed

About

Mei-Ling Han is a scholar working on Plant Science, Pharmacology and Cell Biology. According to data from OpenAlex, Mei-Ling Han has authored 21 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 15 papers in Pharmacology and 5 papers in Cell Biology. Recurrent topics in Mei-Ling Han's work include Fungal Biology and Applications (15 papers), Mycorrhizal Fungi and Plant Interactions (13 papers) and Enzyme-mediated dye degradation (10 papers). Mei-Ling Han is often cited by papers focused on Fungal Biology and Applications (15 papers), Mycorrhizal Fungi and Plant Interactions (13 papers) and Enzyme-mediated dye degradation (10 papers). Mei-Ling Han collaborates with scholars based in China, United States and Czechia. Mei-Ling Han's co-authors include Bao‐Kai Cui, Yu‐Cheng Dai, Jie Song, Lulu Shen, Yuanyuan Chen, Josef Vlasák, Hai-Jiao Li, Jing Si, Yan Wang and Dongmei Wu and has published in prestigious journals such as Frontiers in Microbiology, International Journal of Antimicrobial Agents and Fungal Diversity.

In The Last Decade

Mei-Ling Han

21 papers receiving 367 citations

Author Peers

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

Author Last Decade Papers Cites
Mei-Ling Han 326 201 135 107 84 21 371
Francisco Kuhar 279 0.9× 110 0.5× 84 0.6× 88 0.8× 60 0.7× 30 335
Sonoe Ochiai Yanagi 292 0.9× 153 0.8× 77 0.6× 65 0.6× 76 0.9× 38 391
Santhiti Vadthanarat 256 0.8× 153 0.8× 107 0.8× 70 0.7× 20 0.2× 19 356
Sandro Augusto Rhoden 196 0.6× 145 0.7× 201 1.5× 42 0.4× 30 0.4× 27 365
Cornelius G. Dyke 242 0.7× 61 0.3× 161 1.2× 61 0.6× 22 0.3× 27 374
Mengpei Guo 284 0.9× 196 1.0× 74 0.5× 26 0.2× 22 0.3× 22 392
Harischandra Sripathy Prakash 214 0.7× 69 0.3× 86 0.6× 28 0.3× 17 0.2× 17 390
André J. Van Laere 251 0.8× 86 0.4× 54 0.4× 45 0.4× 44 0.5× 24 412
Masaru Nagai 296 0.9× 144 0.7× 35 0.3× 16 0.1× 145 1.7× 18 360
Amanda Juan Chen 247 0.8× 112 0.6× 167 1.2× 67 0.6× 41 0.5× 23 415

Countries citing papers authored by Mei-Ling Han

Since Specialization
Citations

This map shows the geographic impact of Mei-Ling 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-Ling 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-Ling Han more than expected).

Fields of papers citing papers by Mei-Ling Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei-Ling Han

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