Wanida Ittarat

28 total papers · 935 total citations
24 papers, 771 citations indexed

About

Wanida Ittarat is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Wanida Ittarat has authored 24 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Public Health, Environmental and Occupational Health and 5 papers in Physiology. Recurrent topics in Wanida Ittarat's work include Malaria Research and Control (7 papers), Mitochondrial Function and Pathology (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Wanida Ittarat is often cited by papers focused on Malaria Research and Control (7 papers), Mitochondrial Function and Pathology (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Wanida Ittarat collaborates with scholars based in Thailand, United States and Germany. Wanida Ittarat's co-authors include Daret K. St. Clair, Terry D. Oberley, Marsha P. Cole, Pradoldej Sompol, Luke I. Szweda, Chotiros Daosukho, Luksana Chaiswing, Jitbanjong Tangpong, Ramaneeya Nithipongvanitch and Daret St. Clair and has published in prestigious journals such as Oncogene, Neuroscience and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Wanida Ittarat

24 papers receiving 746 citations

Author Peers

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

Author						Papers	Cites
Wanida Ittarat	326	182	151	121	80	24	771
Vikrant Vijay	264 0.8×	187 1.0×	45 0.3×	112 0.9×	54 0.7×	29	833
Patricia Schroeder	257 0.8×	137 0.8×	59 0.4×	151 1.2×	97 1.2×	35	855
Gülperi Öktem	279 0.9×	105 0.6×	36 0.2×	151 1.2×	65 0.8×	39	724
Anusha Ande	273 0.8×	184 1.0×	21 0.1×	131 1.1×	52 0.7×	17	760
Ana F. Branco	458 1.4×	151 0.8×	20 0.1×	59 0.5×	143 1.8×	25	838
Joshua C. Kwekel	503 1.5×	81 0.4×	40 0.3×	56 0.5×	49 0.6×	17	864
Andrew R. Harper	352 1.1×	174 1.0×	18 0.1×	62 0.5×	61 0.8×	41	896
Maria Rosaria Rusciano	327 1.0×	160 0.9×	18 0.1×	87 0.7×	79 1.0×	36	825
Sujatha M. Gopalakrishnan	455 1.4×	41 0.2×	56 0.4×	37 0.3×	45 0.6×	41	793
Alíz Szabó	510 1.6×	75 0.4×	28 0.2×	139 1.1×	82 1.0×	29	877

Countries citing papers authored by Wanida Ittarat

Since Specialization

Citations

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

Fields of papers citing papers by Wanida Ittarat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanida Ittarat

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