Bita Abbasi

47 papers receiving 386 citations

Peers

Bita Abbasi
Comparison fields: 5 of 80
  • Pathology and Forensic Medicine 77
  • Parasitology 26
  • Internal Medicine 14
  • Rheumatology 56
  • Neurology 51
Replace Sridhar Gibikote with:
Sridhar Gibikote India
Sebastian Michel Germany
Ali Nourbakhsh United States
Paul G. Talusan United States
Konstantinos Vlachos Greece
Abdüssamet Batur Türkiye
D W Milligan United Kingdom
Arjun Khanna India
M Schneider Germany
C. Villas Spain
Bita Abbasi relative to Sridhar Gibikote India Sridhar Gibikote's profile →
Citations per field
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Sridhar Gibikote · 1×
Citations per year

Countries citing papers authored by Bita Abbasi

Since Specialization
Citations

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

Fields of papers citing papers by Bita Abbasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201843
2 202039
3 201138
4 202124
5 202022
6 202021
7 201820
8 201918
9 201618
10 202015
11
The Extrapulmonary Manifestations of Systemic Sclerosis on Chest High Resolution Computed Tomography.
201512
12 201612
13
Correlation between serum levels of soluble Fas (CD95/Apo-1) with disease activity in systemic lupus erythematosus patients in Khorasan, Iran.
201011
14 20169
15 20209
16 20196
17 20216
18 20196
19 20225
20 20184

About Bita Abbasi

Bita Abbasi is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Surgery, Pathology and Forensic Medicine and Neurology, having authored 56 papers that have together received 390 indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (5 papers), Acute Ischemic Stroke Management (4 papers), Parasitic infections in humans and animals (4 papers), COVID-19 diagnosis using AI (3 papers), Shoulder and Clavicle Injuries (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Cerebral Venous Sinus Thrombosis (3 papers) and Congenital Anomalies and Fetal Surgery (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (77 citations), Parasitology (26 citations), Internal Medicine (14 citations), Rheumatology (56 citations) and Neurology (51 citations). Bita Abbasi has collaborated with scholars based in Iran, United States and Netherlands. Frequent co-authors include Maryam Sahebari, Reza Kazemi Oskuee, Mohsen Tafaghodi, Leila Gholami, Zahra Rezaieyazdi, Seyed Ali Alamdaran, Jalil Tavakol Afshari, Houshang Rafatpanah, Habibollah Esmaily and Mohammad Ghasemi Nour. Their work appears in journals such as Scientific Reports, International Journal of Infectious Diseases, Journal of Emergency Medicine, The Breast Journal and World Neurosurgery.

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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