P. Morrison

33 papers receiving 1.4k citations

Peers

P. Morrison
Comparison fields: 5 of 110
  • Pathology and Forensic Medicine 384
  • Cancer Research 197
  • Physiology 231
  • Oncology 198
  • Cardiology and Cardiovascular Medicine 148
Replace Sang-Kyung Jo with:
Sang-Kyung Jo South Korea
Harish K. Datta United Kingdom
John J. Ryan United States
Edward A. Carter United States
Olav Tenstad Norway
Iwona T. Dobrucki United States
Stephen P. Kantrow United States
Albert J. Augustin Germany
M. Schulte Germany
Hiroaki Iwamoto Japan
P. Morrison relative to Sang-Kyung Jo South Korea Sang-Kyung Jo's profile →
Citations per field
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Citations per year

Countries citing papers authored by P. Morrison

Since Specialization
Citations

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

Fields of papers citing papers by P. Morrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P. Morrison, 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 P. Morrison Line = papers co-authored together P. Morrison 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 1994242
2 1998161
3 1995148
4 2014117
5 200096
6 201375
7
Early catastrophic tibial component wear after unicompartmental knee arthroplasty.
199875
8 200458
9 200153
10 201449
11 200049
12 199147
13 200039
14 200838
15 200737
16 200826
17 202019
18 201216
19 201214
20 201812

About P. Morrison

P. Morrison is a scholar working on Molecular Biology, Physiology, Genetics, Materials Chemistry and Cell Biology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (5 papers), Quantum Dots Synthesis And Properties (5 papers), Chalcogenide Semiconductor Thin Films (4 papers), Muscle metabolism and nutrition (3 papers), Cancer Genomics and Diagnostics (3 papers), BRCA gene mutations in cancer (3 papers), Genetic factors in colorectal cancer (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (384 citations), Cancer Research (197 citations), Physiology (231 citations), Oncology (198 citations) and Cardiology and Cardiovascular Medicine (148 citations). P. Morrison has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Marina L. H. Honing, Ton J. Rabelink, Richard A. Loomis, William E. Buhro, J. Russell Lipford, Paul Smits, Michael Kane, Richard D. Kolodner, Erik S.G. Stroes and Jan Dirk Banga. Their work appears in journals such as The Journal of Physical Chemistry Letters, Hypertension, Disease Markers, Antimicrobial Agents and Chemotherapy and Journal of the American Society of Nephrology.

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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