Khalida Perveen
Impact in
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- Antibiotic Use and Resistance
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Immunodeficiency and Autoimmune Disorders 2
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- Ovarian function and disorders 2
- Sperm and Testicular Function 2
- Co-authors
- Rabaab ZahraBjörn OlsénBadrul HasanAntonio FerranteCharles S. HiiJames N. IrvineDaniel P. PotaczekSarah Miethe
In The Last Decade
Khalida Perveen
17 papers receiving 291 citations
Peers
Comparison fields: 5 of 73
- Applied Microbiology and Biotechnology 28
- Molecular Medicine 65
- Endocrinology 27
- Immunology and Allergy 26
- Immunology 54
Countries citing papers authored by Khalida Perveen
This map shows the geographic impact of Khalida Perveen'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 Khalida Perveen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalida Perveen more than expected).
Fields of papers citing papers by Khalida Perveen
This network shows the impact of papers produced by Khalida Perveen. 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 Khalida Perveen. The network helps show where Khalida Perveen may publish in the future.
Co-authors
The 25 scholars most cited alongside Khalida Perveen, 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 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 111 | |
| 5 | 2021 | 35 | |
| 6 | 2021 | 6 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 5 | |
| 9 | 2019 | 14 | |
| 10 | 2019 | 8 | |
| 11 | 2018 | 2 | |
| 12 | Lead-induced morphometric changes in the kidneys of albino rats ameliorated by ginkgo biloba extract (EGb 761). | 2017 | 8 |
| 13 | Predictive accuracy of anti mullerian hormone as indicator of ovarian follicle loss in cyclophosphamide treated mice. | 2017 | 2 |
| 14 | Serum anti-mullerian hormone: Correlation with the ovarian follicular dynamics in healthy mice. | 2016 | 3 |
| 15 | 2013 | 69 | |
| 16 | The effects of lead and zinc on the quality of semen of albino rats. | 2009 | 17 |
| 17 | 2008 | 6 |
About Khalida Perveen
Khalida Perveen is a scholar working on Immunology, Reproductive Medicine, Ophthalmology, Molecular Medicine and Endocrinology, having authored 17 papers that have together received 296 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Asthma and respiratory diseases (3 papers), Ovarian function and disorders (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Reproductive Biology and Fertility (2 papers), Sperm and Testicular Function (2 papers) and Glaucoma and retinal disorders (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (28 citations), Molecular Medicine (65 citations), Endocrinology (27 citations), Immunology and Allergy (26 citations) and Immunology (54 citations). Khalida Perveen has collaborated with scholars based in Australia, Pakistan and Colombia. Frequent co-authors include Rabaab Zahra, Björn Olsén, Badrul Hasan, Antonio Ferrante, Charles S. Hii, James N. Irvine, Daniel P. Potaczek, Sarah Miethe, Holger Garn and Nathalie Acevedo. Their work appears in journals such as Frontiers in Immunology, International Journal of Molecular Sciences, Scientific Reports, Immunology and Communications Biology.
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.