Atiqa Khalid
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 and COVID-19 Research 2
- Oncology 5
- Inflammatory Biomarkers in Disease Prognosis 3
- Co-authors
- Sana Ali (4 shared papers)Gülali Aktaş (4 shared papers)Satılmış Bilgin (2 shared papers)Gizem Kahveci (2 shared papers)Burçin Meryem Atak Tel (2 shared papers)Tuba Taslamacıoğlu Duman (2 shared papers)Özge Kurtkulağı (2 shared papers)İsa Sıncer (1 shared paper)
In The Last Decade
Atiqa Khalid
13 papers receiving 462 citations
Atiqa Khalid's Hit Papers
Peers
Comparison fields: 5 of 97
- Nephrology 80
- Infectious Diseases 128
- Modeling and Simulation 29
- Oncology 90
- Epidemiology 105
Countries citing papers authored by Atiqa Khalid
This map shows the geographic impact of Atiqa Khalid'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 Atiqa Khalid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atiqa Khalid more than expected).
Fields of papers citing papers by Atiqa Khalid
This network shows the impact of papers produced by Atiqa Khalid. 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 Atiqa Khalid. The network helps show where Atiqa Khalid may publish in the future.
Co-authors
The 25 scholars most cited alongside Atiqa Khalid, 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 | 2020 | 116 | |
| 2 | Poorly controlled hypertension is associated with elevated serum uric acid to HDL-cholesterol ratio: a cross-sectional cohort study Hit paper breakdown → | 2022 | 110 |
| 3 | 2021 | 92 | |
| 4 | 2021 | 84 | |
| 5 | 2021 | 32 | |
| 6 | 2021 | 21 | |
| 7 | 2021 | 8 | |
| 8 | 2025 | 3 | |
| 9 | COVID-19, Vaccination, and Conspiracies: A Micro-Level Qualitative Study in Islamabad, Pakistan | 2022 | 3 |
| 10 | 2020 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 2022 | 0 | |
| 15 | 2022 | 0 |
About Atiqa Khalid
Atiqa Khalid is a scholar working on Infectious Diseases, Oncology, Clinical Psychology, Obstetrics and Gynecology and Nephrology, having authored 15 papers that have together received 477 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), COVID-19 and Mental Health (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Misinformation and Its Impacts (2 papers), COVID-19 Impact on Reproduction (2 papers), COVID-19 epidemiological studies (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Nephrology (80 citations), Infectious Diseases (128 citations), Modeling and Simulation (29 citations), Oncology (90 citations) and Epidemiology (105 citations). Atiqa Khalid has collaborated with scholars based in Pakistan, Türkiye and China. Frequent co-authors include Sana Ali, Gülali Aktaş, Satılmış Bilgin, Gizem Kahveci, Burçin Meryem Atak Tel, Tuba Taslamacıoğlu Duman, Özge Kurtkulağı, İsa Sıncer, Abdul Waris and Yılmaz Güneş. Their work appears in journals such as Asian Bioethics Review, Journal of Clinical Oncology, Primary care diabetes, IEEE Access and Journal of Clinical Laboratory Analysis.
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.