Win Tun

751 citations
15 papers · 443 · 1 hit paper · h-index 11

Impact in

    • Plant Molecular Biology Research
    • Plant nutrient uptake and metabolism
    • Plant Stress Responses and Tolerance
    • Rice Cultivation and Yield Improvement
    • Pregnancy and preeclampsia studies

Papers in

    • Plant Gene Expression Analysis 3
    • Single-cell and spatial transcriptomics 2
    • Photosynthetic Processes and Mechanisms 2
    • Plant Molecular Biology Research 8
    • Plant nutrient uptake and metabolism 3
    • Plant Stress Responses and Tolerance 3

Win Tun

15 papers receiving 440 citations

Win Tun's Hit Papers

Sucrose signaling in higher plants 2020 · 215 citations
2150+2+4Years since publication50100150200

Peers

Win Tun
Comparison fields: 5 of 81
  • Plant Science 304
  • Obstetrics and Gynecology 54
  • Structural Biology 8
  • Horticulture 4
  • Molecular Biology 170
Replace Thaís Regiani Cataldi with:
Thaís Regiani Cataldi Brazil
Shujia Huang China
Isabel Matas Spain
Zhilong Wang China
Lijuan Qi China
Maryam Hezavehei Iran
Ningning Yu China
Laura Kelly Thomson Australia
Christopher Lumb Australia
Yuying Yuan China
Win Tun relative to Thaís Regiani Cataldi Brazil Thaís Regiani Cataldi's profile →
Citations per field
00.5×1.5×2.3×
Thaís Regiani Cataldi · 1×
Citations per year

Countries citing papers authored by Win Tun

Since Specialization
Citations

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

Fields of papers citing papers by Win Tun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Win Tun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Win Tun Line = papers co-authored together Win Tun links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Sucrose signaling in higher plants
Hit paper breakdown →
2020215
2 201942
3 202232
4 202129
5 202122
6 202316
7 201515
8 201914
9 202111
10 202111
11 202210
12 20219
13 20216
14 20226
15 20235

About Win Tun

Win Tun is a scholar working on Molecular Biology, Plant Science, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health and Biophysics, having authored 15 papers that have together received 443 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (8 papers), Plant nutrient uptake and metabolism (3 papers), Plant Stress Responses and Tolerance (3 papers), Pregnancy and preeclampsia studies (3 papers), Plant Gene Expression Analysis (3 papers), Single-cell and spatial transcriptomics (2 papers), Cell Image Analysis Techniques (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Plant Science (304 citations), Obstetrics and Gynecology (54 citations), Structural Biology (8 citations), Horticulture (4 citations) and Molecular Biology (170 citations). Win Tun has collaborated with scholars based in South Korea, China and United Kingdom. Frequent co-authors include Gynheung An, Jinmi Yoon, Jong‐Seong Jeon, Lae‐Hyeon Cho, Joanna L. James, Alys R. Clark, Choon Hwai Yap, Shier Nee Saw, Xin Peng and Ki‐Hong Jung. Their work appears in journals such as Frontiers in Plant Science, Scientific Reports, Frontiers in Cell and Developmental Biology, Histochemistry and Cell Biology and Plant Cell & Environment.

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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