Te‐Ming Tseng

947 citations
67 papers · 662 · h-index 13

Impact in

    • Weed Control and Herbicide Applications
    • Allelopathy and phytotoxic interactions
    • GABA and Rice Research
    • Rice Cultivation and Yield Improvement
  • Pollution top 10%
    • Pesticide and Herbicide Environmental Studies

Papers in

    • Weed Control and Herbicide Applications 41
    • Allelopathy and phytotoxic interactions 19
    • Plant Parasitism and Resistance 7
    • GABA and Rice Research 5
    • Pesticide and Herbicide Environmental Studies 14

Te‐Ming Tseng

62 papers receiving 640 citations

Peers

Te‐Ming Tseng
Comparison fields: 5 of 67
  • Plant Science 533
  • Pollution 123
  • Agronomy and Crop Science 77
  • Drug Discovery 1
  • Soil Science 35
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Citations per field
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Citations per year

Countries citing papers authored by Te‐Ming Tseng

Since Specialization
Citations

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

Fields of papers citing papers by Te‐Ming Tseng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Te‐Ming Tseng. 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 Te‐Ming Tseng. The network helps show where Te‐Ming Tseng may publish in the future.

Co-authors

The 25 scholars most cited alongside Te‐Ming Tseng, 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 Te‐Ming Tseng Line = papers co-authored together Te‐Ming Tseng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201489
2 202189
3 202344
4 201540
5 201730
6 201326
7 202326
8 201720
9 202215
10 201913
11 201813
12 202012
13 202212
14 202212
15 202012
16 202011
17 202110
18 20189
19 20219
20 20219

About Te‐Ming Tseng

Te‐Ming Tseng is a scholar working on Plant Science, Pollution, Molecular Biology, Agronomy and Crop Science and Environmental Chemistry, having authored 67 papers that have together received 662 indexed citations. Recurring topics across this work include Weed Control and Herbicide Applications (41 papers), Allelopathy and phytotoxic interactions (19 papers), Pesticide and Herbicide Environmental Studies (14 papers), Plant tissue culture and regeneration (11 papers), Turfgrass Adaptation and Management (8 papers), Agronomic Practices and Intercropping Systems (7 papers), Plant Parasitism and Resistance (7 papers) and GABA and Rice Research (5 papers). The work is most often cited by research in Plant Science (533 citations), Pollution (123 citations), Agronomy and Crop Science (77 citations), Drug Discovery (1 citation) and Soil Science (35 citations). Te‐Ming Tseng has collaborated with scholars based in United States, Iran and Brazil. Frequent co-authors include Nilda R. Burgos, Mohammad Taghi Alebrahim, Ana L. Caicedo, Vijay P. Singh, Nelson D. Young, Hassan Karimmojeni, Howard Black, Katie E. Hyma, David R. Gealy and Supratim Basu. Their work appears in journals such as Frontiers in Agronomy, Weed Science, Agronomy, HortScience and Frontiers in Plant Science.

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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