Fatima Akdim

20 papers receiving 884 citations

Peers

Fatima Akdim
Comparison fields: 5 of 77
  • Cardiology and Cardiovascular Medicine 222
  • Endocrinology, Diabetes and Metabolism 167
  • Cancer Research 136
  • Surgery 373
  • Pulmonary and Respiratory Medicine 93
Replace Jun–ei Obata with:
Jun–ei Obata Japan
Luigi Cavuto Italy
Giovanna Castoldi Italy
Tiziana Sampietro Italy
Min Lin China
Sophie J. Bernelot Moens Netherlands
Julian C. van Capelleveen Netherlands
Seung Ho Hong South Korea
Christopher E. Kurtz United States
Tommaso Fasano Italy
Fatima Akdim relative to Jun–ei Obata Japan Jun–ei Obata's profile →
Citations per field
00.5×1.5×1.9×
Jun–ei Obata · 1×
Citations per year

Countries citing papers authored by Fatima Akdim

Since Specialization
Citations

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

Fields of papers citing papers by Fatima Akdim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008211
2 2010151
3 2010138
4 2011106
5 200993
6 200936
7 200728
8 200727
9 202127
10 200821
11 201018
12 202313
13
Simvastatin with or without ezetimibe in familial hypercholesterolemia (vol 358, pg 1431, 2008)
200810
14 20229
15 20218
16 20076
17 20215
18 20075
19 20243
20 20091

About Fatima Akdim

Fatima Akdim is a scholar working on Surgery, Physiology, Epidemiology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 916 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Sarcoidosis and Beryllium Toxicity Research (8 papers), Cancer, Lipids, and Metabolism (4 papers), Liver Disease Diagnosis and Treatment (2 papers), Computational Drug Discovery Methods (2 papers), Plant biochemistry and biosynthesis (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (222 citations), Endocrinology, Diabetes and Metabolism (167 citations), Cancer Research (136 citations), Surgery (373 citations) and Pulmonary and Respiratory Medicine (93 citations). Fatima Akdim has collaborated with scholars based in Netherlands, United States and South Africa. Frequent co-authors include John J.P. Kastelein, Erik S.G. Stroes, Diane L. Tribble, John Q. Su, JoAnn Flaim, Brenda F. Baker, Rosie Z. Yu, Sander I. van Leuven, Raphaël Duivenvoorden and Michiel L. Bots. Their work appears in journals such as Atherosclerosis Supplements, Journal of Lipid Research, Journal of the American College of Cardiology, The American Journal of Medicine and Journal of Cardiovascular Electrophysiology.

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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