Aizza Zafar

12 total papers · 1.1k total citations
8 papers, 612 citations indexed

About

Aizza Zafar is a scholar working on Epidemiology, Infectious Diseases and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Aizza Zafar has authored 8 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 2 papers in Infectious Diseases and 2 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Aizza Zafar's work include Pneumonia and Respiratory Infections (2 papers), Nosocomial Infections in ICU (2 papers) and Hepatitis B Virus Studies (1 paper). Aizza Zafar is often cited by papers focused on Pneumonia and Respiratory Infections (2 papers), Nosocomial Infections in ICU (2 papers) and Hepatitis B Virus Studies (1 paper). Aizza Zafar collaborates with scholars based in Pakistan, India and United States. Aizza Zafar's co-authors include Khalid Omer Abdalla Abosalif, Abdullah Alsrhani, Sonia Younas, Kashaf Junaid, Zeeshan Ahmed, Abualgasim Elgaili Abdalla, Hasan Ejaz, Humera Javed, Syed Mohamed Aljunid and Miguela A. Caniza and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMC Health Services Research and Journal of Infection and Public Health.

In The Last Decade

Aizza Zafar

7 papers receiving 582 citations

Hit Papers

COVID-19 and comorbiditie... 2020 2026 2022 2024 2020 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aizza Zafar 361 182 115 81 62 8 612
Humera Javed 372 1.0× 181 1.0× 115 1.0× 73 0.9× 48 0.8× 15 667
Alejandro Márquez‐Salinas 271 0.8× 113 0.6× 146 1.3× 82 1.0× 43 0.7× 11 509
Jessica Paola Bahena-López 315 0.9× 124 0.7× 159 1.4× 83 1.0× 41 0.7× 17 597
Carlos A. Fermín‐Martínez 297 0.8× 138 0.8× 157 1.4× 95 1.2× 62 1.0× 24 622
Farzin Vahedi 280 0.8× 86 0.5× 85 0.7× 68 0.8× 64 1.0× 19 588
Nayla Cristina do Vale Moreira 411 1.1× 168 0.9× 86 0.7× 54 0.7× 38 0.6× 5 593
Tianci Deng 238 0.7× 108 0.6× 55 0.5× 74 0.9× 38 0.6× 8 544
Matthew Tudball 207 0.6× 73 0.4× 100 0.9× 78 1.0× 38 0.6× 5 530
Huipeng Ge 242 0.7× 110 0.6× 57 0.5× 74 0.9× 38 0.6× 12 528
Su Aung 465 1.3× 204 1.1× 128 1.1× 61 0.8× 31 0.5× 18 698

Countries citing papers authored by Aizza Zafar

Since Specialization
Citations

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

Fields of papers citing papers by Aizza Zafar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aizza Zafar

This figure shows the co-authorship network connecting the top 25 collaborators of Aizza Zafar. A scholar is included among the top collaborators of Aizza Zafar 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 Aizza Zafar. Aizza Zafar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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