Robert W. Read

87 papers receiving 3.7k citations

Hit Papers

The Orchids: Natural History and Classification 1982 · 933 citations
9331982202619962011250500750

Peers

Robert W. Read
Comparison fields: 5 of 150
  • Ecology, Evolution, Behavior and Systematics 996
  • Plant Science 1.8k
  • Health, Toxicology and Mutagenesis 544
  • Pollution 402
  • Insect Science 367
Replace Marcelo Hermes‐Lima with:
Marcelo Hermes‐Lima Brazil
Meirong Zhao China
Russell Pickford Australia
Wayne F. Beyer United States
Gerhard Schmidt Germany
Michael Palmgren Denmark
Masami Suganuma Japan
A.C. Maehly Sweden
Lello Zolla Italy
Andrew R. S. Ross Canada
Robert W. Read relative to Marcelo Hermes‐Lima Brazil Marcelo Hermes‐Lima's profile →
Citations per field
00.5×3.8×
Marcelo Hermes‐Lima · 1×
Citations per year

Countries citing papers authored by Robert W. Read

Since Specialization
Citations

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

Fields of papers citing papers by Robert W. Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Orchids: Natural History and Classification
Hit paper breakdown →
1982933
2 1994260
3 2012138
4 2008134
5 1997119
6 2007114
7 2011108
8 1999100
9 197295
10 200478
11 199877
12 202076
13 201369
14 199966
15 201065
16 201063
17 198862
18 199561
19 199761
20 201159

About Robert W. Read

Robert W. Read is a scholar working on Chemical Health and Safety, Plant Science, Health, Toxicology and Mutagenesis, Pollution and Emergency Medicine, having authored 89 papers that have together received 4.0k indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (27 papers), Plant Diversity and Evolution (9 papers), Pesticide and Herbicide Environmental Studies (6 papers), Poisoning and overdose treatments (6 papers), Environmental Toxicology and Ecotoxicology (5 papers), Plant and animal studies (5 papers), Genetic and Kidney Cyst Diseases (4 papers) and Genetic Associations and Epidemiology (4 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (996 citations), Plant Science (1.8k citations), Health, Toxicology and Mutagenesis (544 citations), Pollution (402 citations) and Insect Science (367 citations). Robert W. Read has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Robin M. Black, Robert L. Dressler, Peter Vogel, R.J. Clarke, Gwenn M. Hansen, James R. Riches, J. M. Harrison, Leo Hickey, Christopher M. Timperley and Brian Zambrowicz. Their work appears in journals such as Veterinary Pathology, Journal of Chromatography A, Journal of Chromatography B, Archives of Toxicology and Journal of Analytical Toxicology.

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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