T. Haig

2.0k citations
35 papers · 1.5k · h-index 24

Impact in

    • Allelopathy and phytotoxic interactions
    • Weed Control and Herbicide Applications
    • Plant Parasitism and Resistance
    • Seed Germination and Physiology
    • Agronomic Practices and Intercropping Systems

Papers in

    • Allelopathy and phytotoxic interactions 31
    • Weed Control and Herbicide Applications 27
    • Plant Parasitism and Resistance 12
    • Seed Germination and Physiology 6
    • Chemical synthesis and alkaloids 5

T. Haig

35 papers receiving 1.3k citations

Peers

T. Haig
Comparison fields: 5 of 68
  • Plant Science 1.4k
  • Agronomy and Crop Science 132
  • Biochemistry 71
  • Food Science 135
  • Pollution 79
Replace Frank A. Einhellig with:
Frank A. Einhellig United States
Eiji Tsuzuki Japan
Chung-Shih Tang United States
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Antonio Lupini Italy
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Rex N. Paul United States
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T. Haig relative to Frank A. Einhellig United States Frank A. Einhellig's profile →
Citations per field
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Frank A. Einhellig · 1×
Citations per year

Countries citing papers authored by T. Haig

Since Specialization
Citations

This map shows the geographic impact of T. Haig'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 T. Haig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Haig more than expected).

Fields of papers citing papers by T. Haig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside T. Haig, 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 T. Haig Line = papers co-authored together T. Haig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000100
2 200095
3 200194
4 200492
5 200082
6 200480
7 200170
8 200067
9 200164
10 200361
11 200158
12 200154
13 200153
14 200351
15 200950
16 199950
17 200149
18 200245
19 200141
20 200040

About T. Haig

T. Haig is a scholar working on Plant Science, Organic Chemistry, Pollution, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Allelopathy and phytotoxic interactions (31 papers), Weed Control and Herbicide Applications (27 papers), Plant Parasitism and Resistance (12 papers), Seed Germination and Physiology (6 papers), Pesticide and Herbicide Environmental Studies (5 papers), Biological Control of Invasive Species (5 papers), Chemical synthesis and alkaloids (5 papers) and Plant and fungal interactions (3 papers). The work is most often cited by research in Plant Science (1.4k citations), Agronomy and Crop Science (132 citations), Biochemistry (71 citations), Food Science (135 citations) and Pollution (79 citations). T. Haig has collaborated with scholars based in Australia, Hungary and Switzerland. Frequent co-authors include James Pratley, Hanwen Wu, D. Lemerle, Min An, Min An, Alexa Seal, Peter Hatfield, Zhiqun Huang, Wujun Ma and De Li Liu. Their work appears in journals such as Journal of Chemical Ecology, Journal of Agricultural and Food Chemistry, Journal of Chromatography A, Annals of Applied Biology and Theoretical and Applied Genetics.

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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