Abdulbaset Salim

639 citations
12 papers · 400 · h-index 7

Impact in

    • Bacterial Infections and Vaccines
  • Epidemiology top 10%
    • Pneumonia and Respiratory Infections
    • Influenza Virus Research Studies
    • Infective Endocarditis Diagnosis and Management
    • Herpesvirus Infections and Treatments

Papers in

Abdulbaset Salim

12 papers receiving 382 citations

Peers

Abdulbaset Salim
Comparison fields: 5 of 65
  • Microbiology 225
  • Epidemiology 200
  • Infectious Diseases 110
  • Health 31
  • Endocrinology 20
Replace T. Q. Tan with:
T. Q. Tan United States
Alex‐Mikael Barkoff Finland
Zhujun Shao China
Jane Jelfs Australia
Mary Matheson United Kingdom
Mike J. Loeffelholz United States
Kathy Kudish United States
Miroslav Špliňo Czechia
Sylvia H. Yeh United States
Luis Barreto Canada
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Citations per field
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T. Q. Tan · 1×
Citations per year

Countries citing papers authored by Abdulbaset Salim

Since Specialization
Citations

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

Fields of papers citing papers by Abdulbaset Salim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Abdulbaset Salim, 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 Abdulbaset Salim Line = papers co-authored together Abdulbaset Salim links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2016265
2 201540
3 201534
4 201924
5 20168
6 20157
7 20206
8 20156
9 20164
10 20163
11 20182
12 20171

About Abdulbaset Salim

Abdulbaset Salim is a scholar working on Epidemiology, Infectious Diseases, Health, Information Systems and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 400 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (2 papers), Bacterial Infections and Vaccines (2 papers), Pneumonia and Respiratory Infections (2 papers), Viral Infections and Outbreaks Research (2 papers), Face recognition and analysis (2 papers), Legionella and Acanthamoeba research (2 papers), Viral Infections and Vectors (2 papers) and Biometric Identification and Security (2 papers). The work is most often cited by research in Microbiology (225 citations), Epidemiology (200 citations), Infectious Diseases (110 citations), Health (31 citations) and Endocrinology (20 citations). Abdulbaset Salim has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Paul E. Kilgore, Marcus Zervos, H. J. Schmitt, John D. Grabenstein, Michael J. Rybak, Juan Carlos Hurtado, Miguel J. Martínez, Raymond Cha, Asad Nawaz and Steven R. Erickson. Their work appears in journals such as Open Forum Infectious Diseases, Infectious Diseases and Therapy, Pediatric Drugs, Clinical Microbiology Reviews and Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy.

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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