Wanida Pan-utai

38 total papers · 557 total citations
29 papers, 393 citations indexed

About

Wanida Pan-utai is a scholar working on Renewable Energy, Sustainability and the Environment, Molecular Biology and Food Science. According to data from OpenAlex, Wanida Pan-utai has authored 29 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Renewable Energy, Sustainability and the Environment, 9 papers in Molecular Biology and 9 papers in Food Science. Recurrent topics in Wanida Pan-utai's work include Algal biology and biofuel production (15 papers), Seaweed-derived Bioactive Compounds (4 papers) and Microbial Metabolites in Food Biotechnology (4 papers). Wanida Pan-utai is often cited by papers focused on Algal biology and biofuel production (15 papers), Seaweed-derived Bioactive Compounds (4 papers) and Microbial Metabolites in Food Biotechnology (4 papers). Wanida Pan-utai collaborates with scholars based in Thailand. Wanida Pan-utai's co-authors include Siriluck Iamtham, Pramuk Parakulsuksatid, Soisuda Pornpukdeewattana, Montakan Tamtin, Sittiruk Roytrakul, Jantana Praiboon, Phanwipa Wongphan, Nathdanai Harnkarnsujarit, Sarn Settachaimongkon and Penjit Srinophakun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Process Biochemistry.

In The Last Decade

Wanida Pan-utai

26 papers receiving 384 citations

Author Peers

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

Author						Papers	Cites
Wanida Pan-utai	266	138	98	92	76	29	393
Isabel Guerrero Legarreta	105 0.4×	72 0.5×	129 1.3×	24 0.3×	23 0.3×	19	418
Andriati Ningrum	78 0.3×	131 0.9×	90 0.9×	18 0.2×	50 0.7×	44	362
Ana Priscila Centeno da Rosa	220 0.8×	52 0.4×	58 0.6×	18 0.2×	32 0.4×	21	338
Liliana Gigova	242 0.9×	101 0.7×	21 0.2×	79 0.9×	63 0.8×	21	373
Cristina Maria Zanette	165 0.6×	148 1.1×	100 1.0×	18 0.2×	21 0.3×	23	437
Hanaa H. Abd El Baky	177 0.7×	84 0.6×	65 0.7×	13 0.1×	60 0.8×	16	369
Giacomo Fais	118 0.4×	61 0.4×	28 0.3×	18 0.2×	26 0.3×	28	334
Soha S. M. Mostafa	267 1.0×	75 0.5×	27 0.3×	41 0.4×	51 0.7×	15	443
Shunyu Yao	113 0.4×	101 0.7×	67 0.7×	63 0.7×	8 0.1×	17	342
Ehsan Nazifi	205 0.8×	75 0.5×	48 0.5×	240 2.6×	23 0.3×	28	428

Countries citing papers authored by Wanida Pan-utai

Since Specialization

Citations

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

Fields of papers citing papers by Wanida Pan-utai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wanida Pan-utai. 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 Wanida Pan-utai. The network helps show where Wanida Pan-utai may publish in the future.

Co-authorship network of co-authors of Wanida Pan-utai

This figure shows the co-authorship network connecting the top 25 collaborators of Wanida Pan-utai. A scholar is included among the top collaborators of Wanida Pan-utai 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 Wanida Pan-utai. Wanida Pan-utai 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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