Nanthawan Mekha

20 total papers · 780 total citations
17 papers, 590 citations indexed

About

Nanthawan Mekha is a scholar working on Epidemiology, Infectious Diseases and Cell Biology. According to data from OpenAlex, Nanthawan Mekha has authored 17 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Infectious Diseases and 6 papers in Cell Biology. Recurrent topics in Nanthawan Mekha's work include Fungal Infections and Studies (9 papers), Antifungal resistance and susceptibility (7 papers) and Plant Pathogens and Fungal Diseases (6 papers). Nanthawan Mekha is often cited by papers focused on Fungal Infections and Studies (9 papers), Antifungal resistance and susceptibility (7 papers) and Plant Pathogens and Fungal Diseases (6 papers). Nanthawan Mekha collaborates with scholars based in Thailand, Japan and Brazil. Nanthawan Mekha's co-authors include Natteewan Poonwan, Takashi Sugita, Masako Takashima, Yuzuru Mikami, Mark D. Lindsley, Jeffrey R. Harris, Pongpun Sawatwong, Tom Chiller, S. Arunmozhi Balajee and Katsukiyo Yazawa and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and European Journal of Epidemiology.

In The Last Decade

Nanthawan Mekha

17 papers receiving 568 citations

Author Peers

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

Author Last Decade Papers Cites
Nanthawan Mekha 353 330 128 124 115 17 590
Sharon Blumer 284 0.8× 475 1.4× 86 0.7× 103 0.8× 93 0.8× 26 587
Sara J. Blosser 268 0.8× 208 0.6× 224 1.8× 56 0.5× 138 1.2× 14 558
Luis A. Pérez-García 364 1.0× 341 1.0× 92 0.7× 60 0.5× 149 1.3× 19 615
Marion A. Wieden 293 0.8× 385 1.2× 50 0.4× 87 0.7× 55 0.5× 14 509
Anna Jeffery-Smith 462 1.3× 357 1.1× 71 0.6× 36 0.3× 27 0.2× 13 687
Rachael Morris‐Jones 217 0.6× 324 1.0× 58 0.5× 185 1.5× 81 0.7× 16 515
Mauro de Medeiros Muniz 381 1.1× 464 1.4× 47 0.4× 166 1.3× 99 0.9× 30 519
Clara Valero 310 0.9× 277 0.8× 116 0.9× 93 0.8× 104 0.9× 29 501
Shih-Hua Teng 145 0.4× 195 0.6× 170 1.3× 40 0.3× 22 0.2× 18 579
Thomas D. Sullivan 236 0.7× 308 0.9× 245 1.9× 97 0.8× 281 2.4× 24 678

Countries citing papers authored by Nanthawan Mekha

Since Specialization
Citations

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

Fields of papers citing papers by Nanthawan Mekha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanthawan Mekha

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