Khalida Perveen

472 citations
20 papers · 336 · h-index 9

Impact in

Papers in

    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Immunodeficiency and Autoimmune Disorders 2
    • Asthma and respiratory diseases 3

Khalida Perveen

19 papers receiving 323 citations

Peers

Khalida Perveen
Comparison fields: 5 of 76
  • Molecular Medicine 60
  • Applied Microbiology and Biotechnology 22
  • Endocrinology 19
  • Immunology and Allergy 18
  • Immunology 47
Replace Lamia Khan with:
Lamia Khan United States
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Stéphanie Tissier France
MargaretE. Hodson United Kingdom
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Rajendra KC Australia
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Citations per field
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Citations per year

Countries citing papers authored by Khalida Perveen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Khalida Perveen Line = papers co-authored together Khalida Perveen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2021117
2 201369
3 202139
4
The effects of lead and zinc on the quality of semen of albino rats.
200917
5 200315
6 201915
7 202210
8 20199
9
Lead-induced morphometric changes in the kidneys of albino rats ameliorated by ginkgo biloba extract (EGb 761).
20178
10 20217
11 20086
12 20216
13 20175
14
Serum anti-mullerian hormone: Correlation with the ovarian follicular dynamics in healthy mice.
20163
15 20243
16 20232
17
Predictive accuracy of anti mullerian hormone as indicator of ovarian follicle loss in cyclophosphamide treated mice.
20172
18 20182
19 20211
20 20260

About Khalida Perveen

Khalida Perveen is a scholar working on Immunology, Physiology, Molecular Biology, Ophthalmology and Epidemiology, having authored 20 papers that have together received 336 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), Glaucoma and retinal disorders (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Ophthalmology and Visual Impairment Studies (1 paper), Ovarian function and disorders (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Molecular Medicine (60 citations), Applied Microbiology and Biotechnology (22 citations), Endocrinology (19 citations), Immunology and Allergy (18 citations) and Immunology (47 citations). Khalida Perveen has collaborated with scholars based in Australia, Pakistan and Switzerland. Frequent co-authors include Antonio Ferrante, Charles S. Hii, Badrul Hasan, Rabaab Zahra, Björn Olsén, Milena Sokołowska, Juan-Felipe López, Holger Garn, Luis Caraballo and Elke Pogge von Strandmann. Their work appears in journals such as International Journal of Molecular Sciences, Frontiers in Immunology, Scientific Reports, Journal of Biomedical Science and The American Journal of Sports Medicine.

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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