Shawn E. McCandless

34 papers receiving 1.2k citations

Peers

Shawn E. McCandless
Comparison fields: 5 of 81
  • Clinical Biochemistry 604
  • Rheumatology 239
  • Pediatrics, Perinatology and Child Health 299
  • Physiology 372
  • Biochemistry 82
Replace Elisabetta Pasquini with:
Elisabetta Pasquini Italy
Dimitar Gavrilov United States
Anupam Chakrapani United Kingdom
Jim McGill Australia
Shauna Kearney United Kingdom
Carolina Fischinger Moura de Souza Brazil
Anupam Chakrapani United Kingdom
Ali Dursun Türkiye
Ayşegül Tokatlı Türkiye
Jean Rey France
Shawn E. McCandless relative to Elisabetta Pasquini Italy Elisabetta Pasquini's profile →
Citations per field
00.5×1.6×
Elisabetta Pasquini · 1×
Citations per year

Countries citing papers authored by Shawn E. McCandless

Since Specialization
Citations

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

Fields of papers citing papers by Shawn E. McCandless

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001180
2 2006180
3 2006172
4 2004144
5 201266
6 200048
7 201333
8 199733
9 201531
10 201829
11 201427
12 200427
13 201925
14 201221
15 201220
16 200519
17 200017
18 199816
19 201714
20 201714

About Shawn E. McCandless

Shawn E. McCandless is a scholar working on Clinical Biochemistry, Molecular Biology, Pediatrics, Perinatology and Child Health, Genetics and Physiology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (20 papers), Neonatal Health and Biochemistry (8 papers), Mitochondrial Function and Pathology (7 papers), Biochemical and Molecular Research (6 papers), Diet and metabolism studies (6 papers), Amino Acid Enzymes and Metabolism (4 papers), Genomic variations and chromosomal abnormalities (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). The work is most often cited by research in Clinical Biochemistry (604 citations), Rheumatology (239 citations), Pediatrics, Perinatology and Child Health (299 citations), Physiology (372 citations) and Biochemistry (82 citations). Shawn E. McCandless has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Joseph Muenzer, Suzanne B. Cassidy, Dianne M. Frazier, Müge Güçsavaş‐Çalıkoğlu, Alan Kimura, Thomas Schuetz, Dwight D. Koeberl, David S. Millington, Shu Chaing and Nathaniel H. Robin. Their work appears in journals such as Molecular Genetics and Metabolism, The Journal of Pediatrics, Journal of Inherited Metabolic Disease, The American Journal of Human Genetics and European Journal of Biochemistry.

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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