Mark Borkman

1.7k citations
10 papers · 1.4k · 1 hit paper · h-index 10

Impact in

    • Fatty Acid Research and Health
  • Physiology top 5%
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism
    • Obstructive Sleep Apnea Research

Papers in

Mark Borkman

10 papers receiving 1.3k citations

Mark Borkman's Hit Papers

The Relation between Insulin Sensitivity and the Fatty-Acid Composition of Skeletal-Muscle Phospholipids 1993 · 698 citations
6980+11+22Years since publication200400600

Peers

Mark Borkman
Comparison fields: 5 of 90
  • Nutrition and Dietetics 466
  • Physiology 771
  • Endocrinology, Diabetes and Metabolism 460
  • Endocrine and Autonomic Systems 185
  • Biochemistry 145
Replace Florence Massiéra with:
Florence Massiéra France
Christophe Binnert Switzerland
C. Bogardus United States
Edmond Balasse Belgium
BA Fielding United Kingdom
Kumpei Tokuyama Japan
Trudy J. Yost United States
G. M. Reaven United States
Ginger C. Johnson United States
Anne W. Thorburn Australia
Mark Borkman relative to Florence Massiéra France Florence Massiéra's profile →
Citations per field
00.5×1.5×
Florence Massiéra · 1×
Citations per year

Countries citing papers authored by Mark Borkman

Since Specialization
Citations

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

Fields of papers citing papers by Mark Borkman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Mark Borkman, 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 Mark Borkman Line = papers co-authored together Mark Borkman links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
The Relation between Insulin Sensitivity and the Fatty-Acid Composition of Skeletal-Muscle Phospholipids
Hit paper breakdown →
1993698
2 1994226
3 1989121
4 1991115
5 199485
6 199259
7 198932
8 200729
9 199118
10 199215

About Mark Borkman

Mark Borkman is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Pulmonary and Respiratory Medicine, Rheumatology and Molecular Biology, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diet and metabolism studies (3 papers), Diet, Metabolism, and Disease (2 papers), Diabetes Management and Research (2 papers), Pelvic floor disorders treatments (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Pituitary Gland Disorders and Treatments (1 paper), Neuroscience of respiration and sleep (1 paper) and Nutritional Studies and Diet (1 paper). The work is most often cited by research in Nutrition and Dietetics (466 citations), Physiology (771 citations), Endocrinology, Diabetes and Metabolism (460 citations), Endocrine and Autonomic Systems (185 citations) and Biochemistry (145 citations). Mark Borkman has collaborated with scholars based in Australia. Frequent co-authors include Donald J. Chisholm, Lesley V. Campbell, Leonard H Storlien, A. B. Jenkins, David Pan, Stuart M. Furler, SM McGhee, Ronald R. Grunstein, Glynis P. Ross and Colin E. Sullivan. Their work appears in journals such as Diabetic Medicine, The Journal of Clinical Endocrinology & Metabolism, Diabetes Care, Diabetes and The Medical Journal of Australia.

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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