Marc C. Patterson

13.8k citations
172 papers · 6.5k indexed · h-index 46

Impact in

Papers in

Marc C. Patterson

169 papers receiving 6.4k citations

Peers

Marc C. Patterson
Comparison fields: 5 of 130
  • Physiology 3.4k
  • Physiology 463
  • Psychiatry and Mental health 882
  • Clinical Biochemistry 387
  • Hematology 611
Replace Marie T. Vanier with:
Marie T. Vanier France
Nina Raben United States
Ans T. van der Ploeg Netherlands
Jan‐Eric Månsson Sweden
Eiji Nanba Japan
Bwee Tien Poll‐The Netherlands
Kurt Ullrich Germany
Ephrat Levy‐Lahad Israel
Jean‐Jacques Martin Belgium
Rafael Artuch Spain
Marc C. Patterson relative to Marie T. Vanier France Marie T. Vanier's profile →
Citations per field
00.5×1.5×
Marie T. Vanier · 1×
Citations per year

Countries citing papers authored by Marc C. Patterson

Since Specialization
Citations

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

Fields of papers citing papers by Marc C. Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc C. Patterson. 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 Marc C. Patterson. The network helps show where Marc C. Patterson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 202313
5 20216
6 202042
7 202010
8 202014
9 20195
10 201911
11 201835
12 201814
13 201569
14
The Niemann-Pick Disease Type C Suspicion Index: Development of a New Tool to Aid Diagnosis
201512
15 2013145
16 20110
17
Longitudinal investigation of the antinociceptive potency of oxycodone and morphine in the zucker rat
20041
18 200333
19 200147
20 19898

About Marc C. Patterson

Marc C. Patterson is a scholar working on Clinical Biochemistry, Physiology, Psychiatry and Mental health, Rheumatology and Physiology, having authored 172 papers that have together received 6.5k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (63 papers), Metabolism and Genetic Disorders (19 papers), Carbohydrate Chemistry and Synthesis (18 papers), Child Nutrition and Feeding Issues (16 papers), Glycosylation and Glycoproteins Research (15 papers), Family and Disability Support Research (13 papers), Autoimmune and Inflammatory Disorders Research (12 papers) and Mitochondrial Function and Pathology (11 papers). The work is most often cited by research in Physiology (3.4k citations), Physiology (463 citations), Psychiatry and Mental health (882 citations), Clinical Biochemistry (387 citations) and Hematology (611 citations). Marc C. Patterson has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Marie T. Vanier, Mark Walterfang, Darleen Vecchio, Larry A. Abel, Hudson H. Freeze, J. E. Wraith, Frits A. Wijburg, Helena Prady, Bobby G. Ng and Erik A. Eklund. Their work appears in journals such as Molecular Genetics and Metabolism, Neurology, Journal of Child Neurology, Orphanet Journal of Rare Diseases and Pediatric Neurology.

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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