John Babiak

2.3k citations
23 papers · 487 · h-index 14

Impact in

Papers in

    • Muscle Physiology and Disorders 3
    • Biochemical and Molecular Research 3
    • Cholesterol and Lipid Metabolism 5
    • Lipoproteins and Cardiovascular Health 3

John Babiak

21 papers receiving 466 citations

Peers

John Babiak
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 148
  • Biochemistry 39
  • Nutrition and Dietetics 94
  • Biochemistry 37
  • Cancer Research 70
Replace Lucie Boulet with:
Lucie Boulet Canada
Yasuhide Inoue Japan
Heather B. Eccleston United States
Florent Lalanne France
A. Ruelland France
T. Magot France
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Citations per field
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Citations per year

Countries citing papers authored by John Babiak

Since Specialization
Citations

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

Fields of papers citing papers by John Babiak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988114
2 198844
3 200339
4 198736
5 198835
6 199925
7 198425
8 199022
9 200221
10 201617
11 198916
12 199015
13 201514
14 198513
15 201012
16 198911
17 202010
18 20207
19 20217
20 20072

About John Babiak

John Babiak is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research and Epidemiology, having authored 23 papers that have together received 487 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (5 papers), Fatty Acid Research and Health (4 papers), Cancer, Lipids, and Metabolism (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Muscle Physiology and Disorders (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (148 citations), Biochemistry (39 citations), Nutrition and Dietetics (94 citations), Biochemistry (37 citations) and Cancer Research (70 citations). John Babiak has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include John S. Parks, L L Rudel, L L Rudel, F L Johnson, Fred L. Johnson, Lawrence L. Rudel, Frank T. Lindgren, Thomas A. Wilson, Thomas J. Kuehl and Robert J. Nicolosi. Their work appears in journals such as Journal of Lipid Research, Atherosclerosis, Xenobiotica, Journal of Clinical Oncology and Journal of Medicinal Chemistry.

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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