Theint Theint Win

596 total citations
15 papers, 404 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 404 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, Myanmar and South Korea. Theint Theint Win's co-authors include Pengcheng Fu, Sikandar Khan, Giovanni Davide Barone, Francesco Secundo, Shah Zada, Przemysław Malec, Kyung Guen Song, Sikandar Khan, Joonhong Park and Kangwoo Cho and has published in prestigious journals such as Bioresource Technology, Scientific Reports and Chemosphere.

In The Last Decade

Theint Theint Win

14 papers receiving 395 citations

Peers

Theint Theint Win
Comparison fields: 5 of 66
  • Plant Science 153
  • Materials Chemistry 134
  • Renewable Energy, Sustainability and the Environment 76
  • Biomedical Engineering 65
  • Molecular Biology 45
Replace Beatriz Elena Guerra Sierra with:
Beatriz Elena Guerra Sierra Colombia
Mohammad Tarique Zeyad India
Saïd Amrani Algeria
Garima Awasthi India
Reda E. Abdelhameed Egypt
Sigita Jurkonienė Lithuania
Cleide Aparecida Bomfeti Brazil
Augustine Innalegwu Daniel Nigeria
Partha Bandyopadhyay India
Hongying Li China
Beatriz Elena Guerra Sierra Colombia View profile →
Citations per field, relative to Theint Theint Win
Theint Theint Win · 1×
Citations per year, relative to Theint Theint Win
Theint Theint Win · 1×

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

15 of 15 papers shown
# Work Indexed citations
1 9
2 2
3 10
4 3
5 0
6 38
7 104
8 1
9 29
10 5
11 4
12 19
13 60
14 85
15 35

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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2026