Richard E. Morton

123 papers receiving 4.6k citations

Peers

Richard E. Morton
Comparison fields: 5 of 132
  • Biochemistry 480
  • Endocrinology, Diabetes and Metabolism 916
  • Cancer Research 682
  • Psychiatry and Mental health 523
  • Surgery 1.5k
Replace Clive R. Pullinger with:
Clive R. Pullinger United States
Arnold G. Herman Belgium
Concepción Peiró Spain
Duncan J. Campbell Australia
Seiichiro Tarui Japan
Ákos Heinemann Austria
Martin Hersberger Switzerland
Tsuneharu Miki Japan
E. Anthony Jones United States
Jaye Chin‐Dusting Australia
Richard E. Morton relative to Clive R. Pullinger United States Clive R. Pullinger's profile →
Citations per field
00.5×2×4×6×7.8×
Clive R. Pullinger · 1×
Citations per year

Countries citing papers authored by Richard E. Morton

Since Specialization
Citations

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

Fields of papers citing papers by Richard E. Morton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard E. Morton. 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 Richard E. Morton. The network helps show where Richard E. Morton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982239
2 1983227
3 1981188
4 2007169
5 2010163
6 1992153
7 2001109
8 198499
9 198598
10 200197
11 201795
12 199985
13 198885
14 200281
15 200177
16 199976
17 198176
18 200475
19 201275
20 199474

About Richard E. Morton

Richard E. Morton is a scholar working on Surgery, Molecular Biology, Psychiatry and Mental health, Cancer Research and Biochemistry, having authored 124 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (27 papers), Cancer, Lipids, and Metabolism (24 papers), Lipid metabolism and biosynthesis (19 papers), Cerebral Palsy and Movement Disorders (19 papers), Peroxisome Proliferator-Activated Receptors (18 papers), Lipoproteins and Cardiovascular Health (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (17 papers) and Botulinum Toxin and Related Neurological Disorders (15 papers). The work is most often cited by research in Biochemistry (480 citations), Endocrinology, Diabetes and Metabolism (916 citations), Cancer Research (682 citations), Psychiatry and Mental health (523 citations) and Surgery (1.5k citations). Richard E. Morton has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include D.B. Zilversmit, Diane J. Greene, Maria Febbraio, Lahoucine Izem, David J. Kennedy, Sai Kuchibhotla, Donald B. Zilversmit, Gun West, Hans Hoff and Jonathan D. Smith. Their work appears in journals such as Journal of Lipid Research, Developmental Medicine & Child Neurology, Journal of Biological Chemistry, Arteriosclerosis Thrombosis and Vascular Biology and Child Care Health and Development.

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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