Peter Dockery

194 papers receiving 6.7k citations

Peter Dockery's Hit Papers

Silver nanoparticles in the environment: Sources, detection and ecotoxicology 2016 · 435 citations
4350+3+6Years since publication100200300400

Peers

Peter Dockery
Comparison fields: 5 of 168
  • Developmental Neuroscience 258
  • Reproductive Medicine 451
  • Biomaterials 576
  • Genetics 391
  • Nutrition and Dietetics 567
Replace Wai‐Yee Chan with:
Wai‐Yee Chan United States
Min Lü United States
Gianfranco Peluso Italy
Subburaman Mohan United States
Y. S. Prakash United States
Patricia Ducy United States
Xiaoyan Zhang China
Bengt R. Johansson Sweden
Ying Wang China
Jin‐Hoi Kim South Korea
Peter Dockery relative to Wai‐Yee Chan United States Wai‐Yee Chan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Dockery

Since Specialization
Citations

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

Fields of papers citing papers by Peter Dockery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Silver nanoparticles in the environment: Sources, detection and ecotoxicology
Hit paper breakdown →
2016435
2 2005396
3 2010248
4 2006212
5 2018189
6 2004174
7 2013170
8 2008165
9 2018128
10 2008113
11 2007113
12 2004112
13 2013112
14 200398
15 201593
16 200288
17 198885
18 202081
19 202179
20 201677

About Peter Dockery

Peter Dockery is a scholar working on Molecular Biology, Immunology, Reproductive Medicine, Cellular and Molecular Neuroscience and Surgery, having authored 194 papers that have together received 6.8k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (27 papers), Nerve injury and regeneration (22 papers), Endometriosis Research and Treatment (21 papers), Neurogenesis and neuroplasticity mechanisms (14 papers), Reproductive Biology and Fertility (10 papers), Electrospun Nanofibers in Biomedical Applications (9 papers), Mesenchymal stem cell research (9 papers) and Ovarian function and disorders (9 papers). The work is most often cited by research in Developmental Neuroscience (258 citations), Reproductive Medicine (451 citations), Biomaterials (576 citations), Genetics (391 citations) and Nutrition and Dietetics (567 citations). Peter Dockery has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Abhay Pandit, Tin Chiu Li, Elke K. Arendt, Timothy O’Brien, Ian Cooke, Andrew W. Rogers, Michelle Moore, Pierce Lalor, T. Schober and Mary Murphy. Their work appears in journals such as Journal of Anatomy, Human Reproduction, Fertility and Sterility, Biomaterials and BJOG An International Journal of Obstetrics & Gynaecology.

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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