S Keidar

1.1k citations
44 papers · 803 indexed · h-index 15

Impact in

Papers in

S Keidar

44 papers receiving 757 citations

Peers

S Keidar
Comparison fields: 5 of 88
  • Biochemistry 85
  • Cardiology and Cardiovascular Medicine 299
  • Endocrinology, Diabetes and Metabolism 171
  • Surgery 227
  • Clinical Biochemistry 34
Replace Stefania Gaino with:
Stefania Gaino Italy
Anna Rita Roscini Italy
Maria Tsoumani Greece
Claudine Cosson France
Iqra Ilyas China
Shadi Hamoud Israel
Dariusz Sitkiewicz Poland
Pablo Stiefel Spain
P. D. Niedmann Germany
Antonina Ganci Italy
S Keidar relative to Stefania Gaino Italy Stefania Gaino's profile →
Citations per field
00.5×3.2×
Stefania Gaino · 1×
Citations per year

Countries citing papers authored by S Keidar

Since Specialization
Citations

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

Fields of papers citing papers by S Keidar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200647
2 200522
3 200545
4 199711
5 199571
6
Hypoglycaemia-induced ischaemic ECG changes.
199412
7 199322
8 199112
9 19901
10 198916
11 198710
12 198512
13
Sinus node dysfunction in acute myocardial infarction and acute coronary insufficiency.
19841
14 198222
15 19826
16
Non oliguric acute renal failure after treatment with sulfinpyrazone.
19823
17
[Bisalbuminemia induced by large doses of penicillins].
19812
18 197920
19
[Intraluminal duodenal diverticulum].
19771
20
[Methyldopa-induced fever].
19762

About S Keidar

S Keidar is a scholar working on Biochemistry, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery and Emergency Medicine, having authored 44 papers that have together received 803 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Cancer, Lipids, and Metabolism (4 papers), Ion channel regulation and function (4 papers), Antioxidant Activity and Oxidative Stress (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Hormonal Regulation and Hypertension (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Biochemistry (85 citations), Cardiology and Cardiovascular Medicine (299 citations), Endocrinology, Diabetes and Metabolism (171 citations), Surgery (227 citations) and Clinical Biochemistry (34 citations). S Keidar has collaborated with scholars based in Israel, United Kingdom and Japan. Frequent co-authors include Aviva Gamliel-Lazarovich, Michael Aviram, A Palant, Ehud Grenadier, J.G. Brook, J. Oiknine, Irit Maor, Gerald J. Brook, Gad Alpan and Ayelet Raz. Their work appears in journals such as Postgraduate Medical Journal, European Heart Journal, Atherosclerosis, Clinical Cardiology and The American Journal of the Medical 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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