M. Ben-Naim

885 citations
30 papers · 795 · h-index 13

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 14
    • Lipoproteins and Cardiovascular Health 8
    • Peroxisome Proliferator-Activated Receptors 7

M. Ben-Naim

30 papers receiving 757 citations

Peers

M. Ben-Naim
Comparison fields: 5 of 65
  • Biochemistry 281
  • Nutrition and Dietetics 243
  • Biochemistry 57
  • Endocrinology, Diabetes and Metabolism 111
  • Immunology 106
Replace G. Hollander with:
G. Hollander Israel
Y. Dabach Israel
Glenn T. Shwaery United States
H J Kayden United States
Scott Kerns United States
Jacques Delattre France
Verónica Quiñones Chile
Gerhard Ledinski Austria
Jayraz Luchoomun United States
Rebecca A. Patterson United Kingdom
M. Ben-Naim relative to G. Hollander Israel G. Hollander's profile →
Citations per field
00.5×1.5×
G. Hollander · 1×
Citations per year

Countries citing papers authored by M. Ben-Naim

Since Specialization
Citations

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

Fields of papers citing papers by M. Ben-Naim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Ben-Naim. 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 M. Ben-Naim. The network helps show where M. Ben-Naim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990182
2 1989174
3 1991125
4 198931
5 199229
6 199721
7 199717
8 199916
9 199515
10 199715
11 199315
12 200614
13 199113
14 200212
15 199812
16 198912
17 200010
18 19919
19 20039
20 20009

About M. Ben-Naim

M. Ben-Naim is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research and Immunology, having authored 30 papers that have together received 795 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (14 papers), Lipoproteins and Cardiovascular Health (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Cancer, Lipids, and Metabolism (5 papers), Drug Transport and Resistance Mechanisms (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Biochemistry (281 citations), Nutrition and Dietetics (243 citations), Biochemistry (57 citations), Endocrinology, Diabetes and Metabolism (111 citations) and Immunology (106 citations). M. Ben-Naim has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Y. Dabach, Y. Stein, Oliver Stein, G. Hollander, Dror Harats, E Havivi, G. Halperin, Yechezkiel Stein, Olga Stein and Elliot M. Berry. Their work appears in journals such as Atherosclerosis, Biochemical and Biophysical Research Communications, Arteriosclerosis Thrombosis and Vascular Biology, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Proceedings of the National Academy of Sciences.

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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