Haleema Sadia
- Health Informatics top 2%
- Molecular Medicine top 10%
- Drug Discovery top 10%
- Cancer Research top 10%
- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 5
- Biochemistry top 10%
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- RNA modifications and cancer 6
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- Hepatitis C virus research 5
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- Hepatitis B Virus Studies 5
- Liver Disease Diagnosis and Treatment 4
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- Medicinal Plants and Neuroprotection 3
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- Cardiac Structural Anomalies and Repair 3
Haleema Sadia
76 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 146
- Health Informatics 53
- Molecular Medicine 70
- Drug Discovery 2
- Cancer Research 166
- Biochemistry 65
Countries citing papers authored by Haleema Sadia
This map shows the geographic impact of Haleema Sadia'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 Haleema Sadia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haleema Sadia more than expected).
Fields of papers citing papers by Haleema Sadia
This network shows the impact of papers produced by Haleema Sadia. 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 Haleema Sadia. The network helps show where Haleema Sadia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Haleema Sadia, 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 | 2024 | 3 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 0 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 1 | |
| 8 | 2020 | 10 | |
| 9 | 2020 | 3 | |
| 10 | 2019 | 5 | |
| 11 | Frequency of low back and neck pain among female drivers | 2019 | 0 |
| 12 | 2019 | 31 | |
| 13 | Prevalence of hepatitis B and C infection in district Mardan, Khyber Pakhtunkhwa, Pakistan | 2017 | 0 |
| 14 | Physiochemical parameters of water and soil of three Dams of district Karak, KP, Pakistan | 2017 | 0 |
| 15 | 2016 | 3 | |
| 16 | COX-2 and BRCA1 have altered expression profile in different canine tumors. | 2016 | 1 |
| 17 | Vertebrate and invertebrate fauna of Tanga dam district Karak Khyber Pakhtunkhwa Pakistan | 2016 | 1 |
| 18 | MITOCHONDRIAL CYTOCHROME B GENE BASED PHYLOGENY OF LOHI AND THALLI SHEEP BREEDS OF PAKISTAN | 2014 | 5 |
| 19 | 2013 | 5 | |
| 20 | Microsatellite markers based genetic diversity analysis in Damani and Nachi goat breeds of Pakistan. | 2013 | 15 |
About Haleema Sadia
Haleema Sadia is a scholar working on Cancer Research, Health Informatics and Hepatology, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (6 papers), MicroRNA in disease regulation (6 papers), Hepatitis C virus research (5 papers), Hepatitis B Virus Studies (5 papers), Cancer-related molecular mechanisms research (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Medicinal Plants and Neuroprotection (3 papers) and Cardiac Structural Anomalies and Repair (3 papers). The work is most often cited by research in Health Informatics (53 citations), Molecular Medicine (70 citations) and Drug Discovery (2 citations). Haleema Sadia has collaborated with scholars based in Pakistan, China and Iran. Frequent co-authors include Zeeshan Javed, Javad Sharifi‐Rad, Shahid Raza, Asma Irshad, Muhammad Javed Iqbal, Kausar Malik, Khushbukhat Khan, Rais Ahmed, William C. Cho and Bahare Salehi. Their work appears in journals such as Cancer Cell International, IET Nanobiotechnology, Scientific Reports, Annals of Human Genetics and International Journal of Biological Macromolecules.
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.