Wun S. Chao

3.7k citations
70 papers · 2.8k indexed · 1 hit paper · h-index 27

Wun S. Chao

70 papers receiving 2.7k citations

Hit Papers

Weed-induced crop yield loss: a new paradigm and new chal...832023202620242025255075

Peers

Wun S. Chao
Comparison fields: 5 of 90
  • Plant Science 2.4k
  • Molecular Biology 1.4k
  • Ecology, Evolution, Behavior and Systematics 273
  • Biochemistry 88
  • Agronomy and Crop Science 95
Replace Olivier Loudet with:
Olivier Loudet France
Surekha Katiyar‐Agarwal India
Alan E. Pepper United States
Emmanuel Guiderdoni France
Carole L. Bassett United States
Pierre Coutos‐Thévenot France
Lieven Sterck Belgium
Yee‐yung Charng Taiwan
Vincent Segura France
Maho Tanaka Japan
Wun S. Chao relative to Olivier Loudet France Olivier Loudet's profile →
Citations per field
00.5×1.5×1.8×
Olivier Loudet · 1×
Citations per year

Countries citing papers authored by Wun S. Chao

Since Specialization
Citations

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

Fields of papers citing papers by Wun S. Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wun S. Chao. 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 Wun S. Chao. The network helps show where Wun S. Chao may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Wun S. Chao, 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 Wun S. Chao Line = papers co-authored together Wun S. Chao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20234
2 20232
3
Weed-induced crop yield loss: a new paradigm and new challengesbreakdown →
202383
4 20235
5 202315
6 20177
7 201692
8 201633
9 20137
10 20129
11 2010146
12 20102
13 20103
14 200924
15 2008177
16 200610
17 200313
18 200224
19 199730
20 199642

About Wun S. Chao

Wun S. Chao is a scholar working on Plant Science, Biochemistry and Molecular Biology, having authored 70 papers that have together received 2.8k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (18 papers), Plant Stress Responses and Tolerance (13 papers), Plant Physiology and Cultivation Studies (13 papers), Plant tissue culture and regeneration (12 papers), Plant Parasitism and Resistance (11 papers), Weed Control and Herbicide Applications (10 papers), Plant Reproductive Biology (10 papers) and Plant responses to water stress (9 papers). The work is most often cited by research in Plant Science (2.4k citations), Molecular Biology (1.4k citations) and Ecology, Evolution, Behavior and Systematics (273 citations). Wun S. Chao has collaborated with scholars based in United States, China and Colombia. Frequent co-authors include David P. Horvath, James V. Anderson, Michael E Foley, Münevver Doğramacı, Linda L. Walling, Véronique Pautot, Jyothi Thimmapuram, Jeffrey C. Suttle, Yajun Yang and Xinyuan Hao. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and PLANT PHYSIOLOGY.

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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