John M. Freeman

193 papers receiving 8.9k citations

Peers

John M. Freeman
Comparison fields: 5 of 168
  • Clinical Biochemistry 2.1k
  • Psychiatry and Mental health 2.9k
  • Physiology 3.5k
  • Pediatrics, Perinatology and Child Health 2.3k
  • Cellular and Molecular Neuroscience 1.1k
Replace Eric H. Kossoff with:
Eric H. Kossoff United States
Jean Aicardi France
Elaine Wirrell United States
Matti Sillanpää Finland
Shlomo Shinnar United States
Allan Krumholz United States
John F. Annegers United States
Toyojiro Matsuishi Japan
Mohamad A. Mikati United States
Carol Camfield Canada
John M. Freeman relative to Eric H. Kossoff United States Eric H. Kossoff's profile →
Citations per field
00.5×1.5×2.1×
Eric H. Kossoff · 1×
Citations per year

Countries citing papers authored by John M. Freeman

Since Specialization
Citations

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

Fields of papers citing papers by John M. Freeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Freeman. 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 John M. Freeman. The network helps show where John M. Freeman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 200 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998480
2 2007280
3 1990244
4 1992233
5 1987232
6 1988203
7 1997199
8 1980195
9 1972193
10 2003193
11
The ketogenic diet: 1997.
1997191
12 1982190
13 1975178
14 2005175
15 1997173
16 2004173
17 2002173
18 2000172
19 2003171
20 2001166

About John M. Freeman

John M. Freeman is a scholar working on Clinical Biochemistry, Psychiatry and Mental health, Physiology, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 200 papers that have together received 9.9k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (55 papers), Epilepsy research and treatment (52 papers), Diet and metabolism studies (45 papers), Neonatal and fetal brain pathology (18 papers), Pharmacological Effects and Toxicity Studies (14 papers), Spinal Dysraphism and Malformations (12 papers), Diet, Metabolism, and Disease (10 papers) and Ethics in medical practice (9 papers). The work is most often cited by research in Clinical Biochemistry (2.1k citations), Psychiatry and Mental health (2.9k citations), Physiology (3.5k citations), Pediatrics, Perinatology and Child Health (2.3k citations) and Cellular and Molecular Neuroscience (1.1k citations). John M. Freeman has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Eileen P.G. Vining, Eric H. Kossoff, Paula L. Pyzik, Diana J. Pillas, E. David Mellits, Jane R. McGrogan, Benjamin S. Carson, Kenton R. Holden, Jason Brandt and S. Harvey Mudd. Their work appears in journals such as PEDIATRICS, Epilepsia, Developmental Medicine & Child Neurology, Journal of Child Neurology and 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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