Marshall Summar

9.4k citations
148 papers · 5.2k · h-index 41

Impact in

Papers in

Marshall Summar

146 papers receiving 5.1k citations

Peers

Marshall Summar
Comparison fields: 5 of 151
  • Clinical Biochemistry 1.9k
  • Biochemistry 526
  • Endocrine and Autonomic Systems 306
  • Pediatrics, Perinatology and Child Health 596
  • Physiology 789
Replace Wolfgang Sperl with:
Wolfgang Sperl Austria
Charles A. Stanley United States
Daniel E. Hale United States
Charles R. Roe United States
P. Kay Lund United Kingdom
Tatsuya Kondo Japan
Charles Kilo United States
Andreas Schulze Germany
Nelson L.S. Tang Hong Kong
Marvin Cornblath United States
Marshall Summar relative to Wolfgang Sperl Austria Wolfgang Sperl's profile →
Citations per field
00.5×3.1×
Wolfgang Sperl · 1×
Citations per year

Countries citing papers authored by Marshall Summar

Since Specialization
Citations

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

Fields of papers citing papers by Marshall Summar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013210
2 2001166
3 1996164
4 2007161
5 2008143
6 2008141
7 2011132
8 2014129
9 2005114
10 2004112
11 2001102
12 200593
13 200893
14 201193
15 202383
16 200680
17 201480
18 200174
19 201172
20 200271

About Marshall Summar

Marshall Summar is a scholar working on Clinical Biochemistry, Molecular Biology, Physiology, Genetics and Pulmonary and Respiratory Medicine, having authored 148 papers that have together received 5.2k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (58 papers), Mitochondrial Function and Pathology (13 papers), Neonatal Respiratory Health Research (12 papers), Diet and metabolism studies (9 papers), Amino Acid Enzymes and Metabolism (9 papers), Biochemical and Molecular Research (9 papers), Folate and B Vitamins Research (8 papers) and Neonatal Health and Biochemistry (8 papers). The work is most often cited by research in Clinical Biochemistry (1.9k citations), Biochemistry (526 citations), Endocrine and Autonomic Systems (306 citations), Pediatrics, Perinatology and Child Health (596 citations) and Physiology (789 citations). Marshall Summar has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mendel Tuchman, Andrea Gropman, Brendan Lee, Brian W. Christman, Nicholas Ah Mew, James V. Leonard, Kimberly A. Chapman, Frances Barr, Judy L. Aschner and Gary Cunningham. Their work appears in journals such as Molecular Genetics and Metabolism, Journal of Inherited Metabolic Disease, Genomics, The Journal of Pediatrics and Critical Care Clinics.

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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