Steve M. Read

3.3k citations
38 papers · 2.7k indexed · 1 hit paper · h-index 22

Steve M. Read

38 papers receiving 2.6k citations

Hit Papers

Minimization of variation in the response to different pr...1.3k19812026199620114008001.2k

Peers

Steve M. Read
Comparison fields: 5 of 140
  • Plant Science 1.1k
  • Molecular Biology 1.4k
  • Biotechnology 160
  • Aquatic Science 127
  • Horticulture 14
Replace M. Carmen Martı́nez with:
M. Carmen Martı́nez Spain
Bo‐Young Lee South Korea
Nicola Vitulo Italy
Akiyasu C. Yoshizawa Japan
Peng Xiao China
Lin Chen China
Antoon F.M. Moorman Netherlands
Wen‐Hsiung Li Taiwan
Steve M. Read relative to M. Carmen Martı́nez Spain M. Carmen Martı́nez's profile →
Citations per field
00.5×3.1×
M. Carmen Martı́nez · 1×
Citations per year

Countries citing papers authored by Steve M. Read

Since Specialization
Citations

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

Fields of papers citing papers by Steve M. Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve M. Read. 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 Steve M. Read. The network helps show where Steve M. Read may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20158
2 20156
3 20129
4 201221
5 201164
6 20112
7 200833
8 200744
9 200525
10 199929
11 199839
12 1998157
13 1996175
14 19955
15 199473
16 1993107
17 199331
18
Identification of UDPG-binding polypeptides and purified (1,3)-. beta. -glucan synthase by photoaffinity labelling with 5-azido-UDPG
19891
19 198731
20 198378

About Steve M. Read

Steve M. Read is a scholar working on Nature and Landscape Conservation, Insect Science, Plant Science, Ecology, Evolution, Behavior and Systematics and Global and Planetary Change, having authored 38 papers that have together received 2.7k indexed citations. Recurring topics across this work include Polysaccharides and Plant Cell Walls (11 papers), Plant Reproductive Biology (11 papers), Forest Ecology and Biodiversity Studies (7 papers), Plant Molecular Biology Research (6 papers), Plant and animal studies (5 papers), Ecology and Vegetation Dynamics Studies (5 papers), Plant nutrient uptake and metabolism (3 papers) and Wildlife Ecology and Conservation (3 papers). The work is most often cited by research in Plant Science (1.1k citations), Molecular Biology (1.4k citations), Biotechnology (160 citations), Aquatic Science (127 citations) and Horticulture (14 citations). Steve M. Read has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include D. H. Northcote, Antony Bacic, Graeme Currie, Adrienne E. Clarke, Ed Newbigin, Monika S. Doblin, Susan C. Baker, Matti Siika‐aho, T.T. Teeri and Deborah P. Delmer. Their work appears in journals such as Planta, PLANT PHYSIOLOGY, Australian Journal of Botany, PROTOPLASMA and Forest Ecology and Management.

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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