Anca V. Sima

3.6k citations
78 papers · 2.9k indexed · 1 hit paper · h-index 26
Topics
Atherosclerosis and Cardiovascular Diseases (21 papers)Lipoproteins and Cardiovascular Health (12 papers)MicroRNA in disease regulation (10 papers)

In The Last Decade

Anca V. Sima

77 papers receiving 2.8k citations

Hit Papers

Statins: mechanism of action and effects20012026200920172001200400600

Peers

Anca V. Sima
Comparison fields: 5 of 130
  • Molecular Biology 881
  • Surgery 682
  • Cancer Research 490
  • Physiology 437
  • Endocrinology, Diabetes and Metabolism 400
Replace Akira Kondo with:
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Ming-Hui Zou United States
Shuangxi Wang China
Rajarajan A. Thandavarayan United States
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Michelle S. Johnson United States
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Weili Shen China
Taixing Cui United States
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Anca V. Sima relative to Akira Kondo Japan Akira Kondo's profile →
Citations per field
00.5×3.2×
Akira Kondo · 1×
Citations per year

Countries citing papers authored by Anca V. Sima

Since Specialization
Citations

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

Fields of papers citing papers by Anca V. Sima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anca V. Sima. 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 Anca V. Sima. The network helps show where Anca V. Sima may publish in the future.

Co-authorship network of co-authors of Anca V. Sima

This figure shows the co-authorship network connecting the top 25 collaborators of Anca V. Sima. A scholar is included among the top collaborators of Anca V. Sima based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anca V. Sima. Anca V. Sima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 13
2 8
3 5
4 21
5 14
6 22
7 23
8 19
9 127
10 30
11 10
12 56
13 50
14 9
15 3
16
Statins: mechanism of action and effectsbreakdown →
671
17 18
18
Experimental obstructive coronary atherosclerosis in the hyperlipidemic hamster.
34
19
The interaction between human low density lipoproteins and bovine aortic endothelial cells. Measurements of membrane fluidity.
1
20
The effect of pre- and postnatal undernutrition on the development of the cerebellar cortex in the rat. II. Histochemical observations.
13

About Anca V. Sima

Anca V. Sima is a scholar working on Clinical Biochemistry, Cancer Research and Immunology, having authored 78 papers that have together received 2.9k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (21 papers), Lipoproteins and Cardiovascular Health (12 papers) and MicroRNA in disease regulation (10 papers). The work is most often cited by research in Cancer Research (490 citations), Clinical Biochemistry (186 citations) and Biochemistry (152 citations). Anca V. Sima has collaborated with scholars based in Romania, Czechia and United States. Frequent co-authors include Camelia S. Stancu, Maya Simionescu, Laura Toma, Loredan S. Niculescu, Gabriela M. Sanda, Doina Popov, Mariana Deleanu, N Simiónescu, Lo Persson and M Popescu. Their work appears in journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

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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