Atchara Paemanee

1.5k total citations
69 papers, 1.1k citations indexed

About

Atchara Paemanee is a scholar working on Molecular Biology, Plant Science and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Atchara Paemanee has authored 69 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Plant Science and 14 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Atchara Paemanee's work include Mosquito-borne diseases and control (12 papers), Viral Infections and Vectors (7 papers) and Invertebrate Immune Response Mechanisms (6 papers). Atchara Paemanee is often cited by papers focused on Mosquito-borne diseases and control (12 papers), Viral Infections and Vectors (7 papers) and Invertebrate Immune Response Mechanisms (6 papers). Atchara Paemanee collaborates with scholars based in Thailand, United Kingdom and Japan. Atchara Paemanee's co-authors include Sittiruk Roytrakul, Duncan R. Smith, Suthathip Kittisenachai, Phitchayapak Wintachai, Verawat Champreda, Nitwara Wikan, Lily Eurwilaichitr, Sukathida Ubol, Prasert Auewarakul and Atitaya Hitakarun and has published in prestigious journals such as PLoS ONE, Bioresource Technology and Scientific Reports.

In The Last Decade

Atchara Paemanee

69 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Atchara Paemanee Thailand 18 399 256 202 176 162 69 1.1k
Hyunwoo Oh South Korea 22 440 1.1× 98 0.4× 92 0.5× 251 1.4× 68 0.4× 73 1.3k
Yolanda Corbett Italy 16 325 0.8× 479 1.9× 78 0.4× 119 0.7× 37 0.2× 29 1.2k
Juan C. Cancino‐Díaz Mexico 22 496 1.2× 73 0.3× 171 0.8× 95 0.5× 49 0.3× 83 1.3k
Eva Prieschl‐Grassauer Austria 17 206 0.5× 52 0.2× 121 0.6× 71 0.4× 90 0.6× 26 1.1k
Heidge Fukumasu Brazil 23 621 1.6× 86 0.3× 48 0.2× 184 1.0× 57 0.4× 112 1.6k
Diego M. Assis Brazil 18 330 0.8× 104 0.4× 93 0.5× 143 0.8× 61 0.4× 46 1.0k
Tavan Janvilisri Thailand 25 738 1.8× 57 0.2× 431 2.1× 87 0.5× 81 0.5× 81 1.8k
Yasutoshi Kido Japan 23 646 1.6× 156 0.6× 232 1.1× 196 1.1× 22 0.1× 111 1.7k
Giuditta Fiorella Schiavano Italy 23 443 1.1× 50 0.2× 252 1.2× 79 0.4× 74 0.5× 82 1.4k

Countries citing papers authored by Atchara Paemanee

Since Specialization
Citations

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

Fields of papers citing papers by Atchara Paemanee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atchara Paemanee

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

All Works

20 of 20 papers shown
1.
Khaksar, Gholamreza, et al.. (2025). Analysis of procyanidins in early immature durian fruit using multi-platform metabolomics approach and their bioactivities. Biocatalysis and Agricultural Biotechnology. 64. 103531–103531. 1 indexed citations
2.
Autsavapromporn, Narongchai, Imjai Chitapanarux, Chutima Kranrod, et al.. (2025). Serum biomarkers associated with health impacts of high residential radon exposure: a metabolomic pilot study. Scientific Reports. 15(1). 5099–5099. 2 indexed citations
3.
Paemanee, Atchara, Wasu Pathom‐aree, Chuchard Punsawad, et al.. (2025). Nontargeted Metabolomics of Streptomyces Sourced from Thailand Reveals the Presence of Bioactive Metabolites. ACS Omega. 10(11). 11567–11579. 1 indexed citations
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Kongkachana, Wasitthee, et al.. (2022). Quantitative analysis of methoxyflavones discriminates between the two types of Kaempferia parviflora. Phytochemical Analysis. 33(5). 670–677. 6 indexed citations
7.
Seetaha, Supaphorn, Supa Hannongbua, Saeko Yanaka, et al.. (2022). Biophysical Characterization of Novel DNA Aptamers against K103N/Y181C Double Mutant HIV-1 Reverse Transcriptase. Molecules. 27(1). 285–285. 6 indexed citations
8.
Phaonakrop, Narumon, Sittiruk Roytrakul, Thanyada Rungrotmongkol, et al.. (2022). Metabolite profiling and identification of novel umami compounds in the chaya leaves of two species using multiplatform metabolomics. Food Chemistry. 404(Pt A). 134564–134564. 17 indexed citations
9.
Sari, Dewi Ratih Tirto, Atchara Paemanee, Sittiruk Roytrakul, et al.. (2021). Black rice cultivar from Java Island of Indonesia revealed genomic, proteomic, and anthocyanin nutritional value. Acta Biochimica Polonica. 68(1). 55–63. 10 indexed citations
10.
Li, Feng, Xia Sun, Atchara Paemanee, et al.. (2020). Andrographolide and Its 14-Aryloxy Analogues Inhibit Zika and Dengue Virus Infection. Molecules. 25(21). 5037–5037. 21 indexed citations
11.
Paemanee, Atchara, Atitaya Hitakarun, Sittiruk Roytrakul, & Duncan R. Smith. (2018). Screening of melatonin, α-tocopherol, folic acid, acetyl-l-carnitine and resveratrol for anti-dengue 2 virus activity. BMC Research Notes. 11(1). 307–307. 27 indexed citations
12.
Paemanee, Atchara, et al.. (2017). Nevirapine induced mitochondrial dysfunction in HepG2 cells. Scientific Reports. 7(1). 9194–9194. 18 indexed citations
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Jariyapan, Narissara, Sittiruk Roytrakul, Atchara Paemanee, et al.. (2016). Salivary Gland Proteome during Adult Development and after Blood Feeding of Female Anopheles dissidens Mosquitoes (Diptera: Culicidae). PLoS ONE. 11(9). e0163810–e0163810. 3 indexed citations
15.
Sornjai, Wannapa, Atchara Paemanee, Suthat Fucharoen, et al.. (2016). Mitochondrial Changes in β0-Thalassemia/Hb E Disease. PLoS ONE. 11(4). e0153831–e0153831. 10 indexed citations
16.
Thepparit, Chutima, Ornpreya Suptawiwat, Prasert Auewarakul, et al.. (2015). Identification of Hsp90 as a species independent H5N1 avian influenza A virus PB2 interacting protein. Comparative Immunology Microbiology and Infectious Diseases. 43. 28–35. 6 indexed citations
17.
Jariyapan, Narissara, Sittiruk Roytrakul, Atchara Paemanee, et al.. (2014). Identification of Salivary Gland Proteins Depleted after Blood Feeding in the Malaria Vector Anopheles campestris-like Mosquitoes (Diptera: Culicidae). PLoS ONE. 9(3). e90809–e90809. 11 indexed citations
18.
Wintachai, Phitchayapak, Nitwara Wikan, Atichat Kuadkitkan, et al.. (2012). Identification of prohibitin as a Chikungunya virus receptor protein. Journal of Medical Virology. 84(11). 1757–1770. 150 indexed citations
19.
Sritippayawan, Suchai, Atchara Paemanee, Wattanachai Susaengrat, et al.. (2009). Evidence suggesting a genetic contribution to kidney stone in northeastern Thai population. Urological Research. 37(3). 141–146. 15 indexed citations
20.
Yenchitsomanus, Pa‐thai, et al.. (2003). Anion exchanger 1 mutations associated with distal renal tubular acidosis in the Thai population. Journal of Human Genetics. 48(9). 451–456. 25 indexed citations

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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