Parisa Shabani

451 total citations
23 papers, 279 citations indexed

About

Parisa Shabani is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Parisa Shabani has authored 23 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Cardiology and Cardiovascular Medicine and 6 papers in Molecular Biology. Recurrent topics in Parisa Shabani's work include Liver Disease Diagnosis and Treatment (6 papers), Adipose Tissue and Metabolism (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Parisa Shabani is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Adipose Tissue and Metabolism (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Parisa Shabani collaborates with scholars based in Iran, United States and Australia. Parisa Shabani's co-authors include Mahmood Doosti, Solaleh Emamgholipour, Hossein Poustchi, Mehrnoosh Shanaki, Nariman Moradi, Reza Fadaei, Sara Karami, Fatemeh Yari, Akram Vatannejad and Davood Bashash and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Cardiovascular Research.

In The Last Decade

Parisa Shabani

23 papers receiving 275 citations

Peers

Parisa Shabani
Comparison fields: 5 of 53
  • Epidemiology 125
  • Physiology 78
  • Molecular Biology 74
  • Cardiology and Cardiovascular Medicine 67
  • Surgery 40
Replace Edu Suárez with:
Edu Suárez Puerto Rico
David Riesco Spain
Anne Kunnari Finland
Shu Zhou China
Joseph T. Chun United States
Kuninobu Ito Japan
Madhu Gupta United States
Anna Cinkajzlová Czechia
Deborah K. Oh United States
Monica De Paoli Canada
Edu Suárez Puerto Rico View profile →
Citations per field, relative to Parisa Shabani
Parisa Shabani · 1×
Citations per year, relative to Parisa Shabani
Parisa Shabani · 1×

Countries citing papers authored by Parisa Shabani

Since Specialization
Citations

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

Fields of papers citing papers by Parisa Shabani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parisa Shabani

This figure shows the co-authorship network connecting the top 25 collaborators of Parisa Shabani. A scholar is included among the top collaborators of Parisa Shabani 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 Parisa Shabani. Parisa Shabani 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
# Work Indexed citations
1 3
2 5
3 8
4 28
5 1
6 28
7 14
8 13
9 15
10 25
11 19
12 15
13 4
14 8
15 30
16 26
17 15
18
THE EFFECT OF METFORMIN ON UTEROPLACENTAL CIRCULATION AND PREGNANCY OUTCOMES IN PREGNANT WOMEN WITH POLYCYSTIC OVARY SYNDROME
1
19
Association of VDR gene polymorphism with insulin resistance in diabetic patients
2
20 7

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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