A. Middleton

1.8k citations
33 papers · 818 indexed · h-index 15

Impact in

Papers in

A. Middleton

27 papers receiving 806 citations

Peers

A. Middleton
Comparison fields: 5 of 122
  • Chemical Health and Safety 7
  • Plant Science 335
  • Small Animals 63
  • Modeling and Simulation 39
  • Biophysics 38
Replace Sreenivasa Ramaiahgari with:
Sreenivasa Ramaiahgari United States
Amar V. Singh United States
Edgar Weber Germany
Shannon Bell United States
Pamela E. Blackshear United States
Patrick D. McMullen United States
Arun R. Pandiri United States
Margino Steemans Belgium
Anja Wilmes Austria
Marija Cvijović Sweden
A. Middleton relative to Sreenivasa Ramaiahgari United States Sreenivasa Ramaiahgari's profile →
Citations per field
00.5×10×15×19.5×
Sreenivasa Ramaiahgari · 1×
Citations per year

Countries citing papers authored by A. Middleton

Since Specialization
Citations

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

Fields of papers citing papers by A. Middleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018165
2 2012115
3 201294
4 201863
5 201051
6 201446
7 202045
8 202234
9 201227
10 201527
11 201823
12 201720
13 202117
14 201817
15 202315
16 20049
17 19799
18 20229
19 20097
20 20246

About A. Middleton

A. Middleton is a scholar working on Molecular Biology, Computational Theory and Mathematics, Small Animals, Plant Science and Health, Toxicology and Mutagenesis, having authored 33 papers that have together received 818 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Animal testing and alternatives (6 papers), Plant Molecular Biology Research (4 papers), Plant Reproductive Biology (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Gene Regulatory Network Analysis (4 papers), Cellular Mechanics and Interactions (3 papers) and Plant nutrient uptake and metabolism (2 papers). The work is most often cited by research in Chemical Health and Safety (7 citations), Plant Science (335 citations), Small Animals (63 citations), Modeling and Simulation (39 citations) and Biophysics (38 citations). A. Middleton has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Markus R. Owen, John R. King, Malcolm J. Bennett, Paul L. Carmichael, Susana Úbeda-Tomás, Shuangqing Peng, Qiang Zhang, Jin Li, Jiabin Guo and Christian Fleck. Their work appears in journals such as Toxicology in Vitro, Toxicological Sciences, Toxicology Letters, Journal of Theoretical Biology and 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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