Patrick William Cafferty

448 citations
21 papers · 383 · h-index 6

Impact in

Papers in

Patrick William Cafferty

19 papers receiving 375 citations

Peers

Patrick William Cafferty
Comparison fields: 5 of 65
  • Cellular and Molecular Neuroscience 114
  • Physiology 118
  • Cell Biology 72
  • Molecular Biology 239
  • Developmental Neuroscience 11
Replace Oshik Segev with:
Oshik Segev Israel
Julia A. Callender United States
F. Chen Canada
Teresa Rodríguez-Martín United Kingdom
Asako Tosaki Japan
Christopher Conrad United States
Alessandra Maria Calogero Italy
Jing Zhi Anson Tan Australia
Lori Hrdlicka United States
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Citations per field
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Citations per year

Countries citing papers authored by Patrick William Cafferty

Since Specialization
Citations

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

Fields of papers citing papers by Patrick William Cafferty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick William Cafferty. 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 Patrick William Cafferty. The network helps show where Patrick William Cafferty may publish in the future.

Co-authors

The 21 scholars most cited alongside Patrick William Cafferty, 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 Patrick William Cafferty Line = papers co-authored together Patrick William Cafferty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003152
2 2002100
3 200645
4 200433
5 200310
6 20079
7
Role of the clinical nurse coordinator in successful implementation of critical pathways in pediatric cardiovascular surgery patients.
19956
8 20204
9 20214
10 20234
11 20094
12 20242
13 20232
14 20202
15 20212
16 20081
17 20211
18 20211
19 20241
20 20210

About Patrick William Cafferty

Patrick William Cafferty is a scholar working on Cellular and Molecular Neuroscience, Media Technology, Education, Molecular Biology and Developmental and Educational Psychology, having authored 21 papers that have together received 383 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (4 papers), Innovative Teaching Methods (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Developmental Biology and Gene Regulation (3 papers), Online and Blended Learning (2 papers), Innovative Teaching and Learning Methods (2 papers), Experimental Learning in Engineering (2 papers) and Evaluation of Teaching Practices (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (114 citations), Physiology (118 citations), Cell Biology (72 citations), Molecular Biology (239 citations) and Developmental Neuroscience (11 citations). Patrick William Cafferty has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Alka Agarwal-Mawal, Hamid Y. Qureshi, Hemant K. Paudel, Yong Rao, Dong Cho Han, Zongfei Yuan, Wei Sun, Kazuya Sobue, Hong Long and Vanessa J. Auld. Their work appears in journals such as Journal of Neuroscience, Journal of Biological Chemistry, Current Opinion in Pediatrics, BMC Medical Education and Journal of Visualized Experiments.

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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