Anita Shallal
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- Antibiotic Use and Resistance 9
- Modeling and Simulation top 10%
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- Antibiotic Resistance in Bacteria 7
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- Vaccine Coverage and Hesitancy 3
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- Bacterial Identification and Susceptibility Testing 4
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- Nosocomial Infections in ICU 5
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- SARS-CoV-2 and COVID-19 Research 3
- Clostridium difficile and Clostridium perfringens research 3
- Tuberculosis Research and Epidemiology 2
- Co-authors
- Marcus ZervosMadonna MatarIjeoma Nnodim OparaMeredith Van HarnRachel M. KenneyLinda KaljeeEvi AbadaMichele L. Coté
- Journals
- SHILAP Revista de lepidopterología (4 papers)Clinical Infectious Diseases (1 paper)Antimicrobial Agents and Chemotherapy (2 papers)
- Partner nations
- United StatesLebanonNepal
In The Last Decade
Anita Shallal
25 papers receiving 206 citations
Peers
Comparison fields: 5 of 77
- Applied Microbiology and Biotechnology 24
- Modeling and Simulation 20
- Molecular Medicine 21
- Health 30
- Clinical Biochemistry 22
Countries citing papers authored by Anita Shallal
This map shows the geographic impact of Anita Shallal'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 Anita Shallal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anita Shallal more than expected).
Fields of papers citing papers by Anita Shallal
This network shows the impact of papers produced by Anita Shallal. 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 Anita Shallal. The network helps show where Anita Shallal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anita Shallal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 1 | |
| 14 | 2022 | 0 | |
| 15 | 2021 | 2 | |
| 16 | 2021 | 7 | |
| 17 | 2021 | 73 | |
| 18 | 2021 | 36 | |
| 19 | 2020 | 1 | |
| 20 | 2019 | 6 |
About Anita Shallal
Anita Shallal is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Microbiology, having authored 35 papers that have together received 212 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (9 papers), Antibiotic Resistance in Bacteria (7 papers), Nosocomial Infections in ICU (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Vaccine Coverage and Hesitancy (3 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (24 citations), Modeling and Simulation (20 citations) and Molecular Medicine (21 citations). Anita Shallal has collaborated with scholars based in United States, Lebanon and Nepal. Frequent co-authors include Marcus Zervos, Madonna Matar, Marcus Zervos, Ijeoma Nnodim Opara, Meredith Van Harn, Rachel M. Kenney, Linda Kaljee, Evi Abada, Michele L. Coté and Michael P. Veve. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Antimicrobial Agents and Chemotherapy.
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.