Theint Theint Win

16 total papers · 584 total citations
15 papers, 398 citations indexed

About

Theint Theint Win is a scholar working on Plant Science, Pollution and Cell Biology. According to data from OpenAlex, Theint Theint Win has authored 15 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 3 papers in Pollution and 2 papers in Cell Biology. Recurrent topics in Theint Theint Win's work include Plant-Microbe Interactions and Immunity (5 papers), Wastewater Treatment and Nitrogen Removal (3 papers) and Enzyme-mediated dye degradation (2 papers). Theint Theint Win is often cited by papers focused on Plant-Microbe Interactions and Immunity (5 papers), Wastewater Treatment and Nitrogen Removal (3 papers) and Enzyme-mediated dye degradation (2 papers). Theint Theint Win collaborates with scholars based in China, Pakistan and Myanmar. Theint Theint Win's co-authors include Pengcheng Fu, Sikandar Khan, Francesco Secundo, Giovanni Davide Barone, Shah Zada, Przemysław Malec, Kyung Guen Song, Sikandar Khan, Kangwoo Cho and Joonhong Park and has published in prestigious journals such as Bioresource Technology, Scientific Reports and Chemosphere.

In The Last Decade

Theint Theint Win

14 papers receiving 390 citations

Author Peers

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

Author Last Decade Papers Cites
Theint Theint Win 151 131 75 65 44 15 398
A. Basińska 177 1.2× 166 1.3× 45 0.6× 42 0.6× 28 0.6× 25 435
Sumbul Afreen 182 1.2× 89 0.7× 83 1.1× 73 1.1× 54 1.2× 12 375
Saïd Amrani 221 1.5× 62 0.5× 37 0.5× 39 0.6× 62 1.4× 25 427
Garima Awasthi 133 0.9× 133 1.0× 22 0.3× 61 0.9× 22 0.5× 35 404
Thangavelu Boopathi 139 0.9× 58 0.4× 40 0.5× 29 0.4× 68 1.5× 13 388
Hoda H. Senousy 153 1.0× 28 0.2× 116 1.5× 35 0.5× 64 1.5× 20 375
Joo-Hyun Hong 143 0.9× 34 0.3× 35 0.5× 58 0.9× 55 1.3× 14 359
Hongying Li 80 0.5× 57 0.4× 47 0.6× 47 0.7× 25 0.6× 17 346
Mohamed Eida 111 0.7× 87 0.7× 52 0.7× 111 1.7× 98 2.2× 9 365
Alpa Yadav 173 1.1× 66 0.5× 24 0.3× 24 0.4× 26 0.6× 28 333

Countries citing papers authored by Theint Theint Win

Since Specialization
Citations

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

Fields of papers citing papers by Theint Theint Win

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theint Theint Win

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