Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Effects of lipid based Multiple Micronutrients Supplement on the birth outcome of underweight pre-eclamptic women: A randomized clinical trial
2021139 citationsRubina Nazli, Sadia Fatima et al.Pakistan Journal of Medical Sciencesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Rubina Nazli'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 Rubina Nazli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rubina Nazli more than expected).
This network shows the impact of papers produced by Rubina Nazli. 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 Rubina Nazli. The network helps show where Rubina Nazli may publish in the future.
Co-authorship network of co-authors of Rubina Nazli
This figure shows the co-authorship network connecting the top 25 collaborators of Rubina Nazli.
A scholar is included among the top collaborators of Rubina Nazli 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 Rubina Nazli. Rubina Nazli is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nazli, Rubina, et al.. (2021). Effects of lipid based Multiple Micronutrients Supplement on the birth outcome of underweight pre-eclamptic women: A randomized clinical trial. Pakistan Journal of Medical Sciences. 38(1). 219–226.139 indexed citations breakdown →
7.
Nazli, Rubina, et al.. (2021). Impact Of Feeding Practice On Diversity Pattern Of The Gut Microbiome In Infants.. Journal of Ayub Medical College Abbottabad. 32(4). 551–557.2 indexed citations
Nazli, Rubina, et al.. (2018). PREVALENCE OF PARASITIC INFESTATION IN CHILDREN OF A RURAL COMMUNITY OF PESHAWAR. SHILAP Revista de lepidopterología.2 indexed citations
11.
Ahmed, Zahoor, et al.. (2017). CIRCULATING VISFATIN LEVEL AND ITS ASSOCIATION WITH LIPID BIOMARKERS IN PREGNANCY INDUCED HYPERTENSION. SHILAP Revista de lepidopterología.1 indexed citations
12.
Nazli, Rubina, et al.. (2017). FREQUENCY AND ASSOCIATION OF RISK FACTORS IN DEVELOPMENT OF GESTATIONAL DIABETES MELLITUS. SHILAP Revista de lepidopterología.1 indexed citations
Nazli, Rubina, et al.. (2016). EFFECT OF COMBINED ORAL CONTRACEPTIVE PILLS ON LIPID PROFILE, BLOOD PRESSURE AND BODY MASS INDEX IN WOMEN OF CHILD BEARING AGE. SHILAP Revista de lepidopterología.5 indexed citations
15.
Akhtar, Tasleem, et al.. (2016). Prevalence of amoebiasis in a model research community and its confirmation using stool antigen elisa for Entamoeba histolytica.. PubMed. 29(5). 1587–1590.5 indexed citations
16.
Nazli, Rubina, et al.. (2015). PREVALENCE OF OBESITY AND ASSOCIATED RISK FACTORS IN A FEMALE POPULATION OF RURAL PESHAWAR-PAKISTAN. SHILAP Revista de lepidopterología.3 indexed citations
Nazli, Rubina, et al.. (2012). FREQUENCY OF THROMBOCYTOPENIA IN PREGNANCY RELATED HYPERTENSIVE DISORDERS IN PATIENTS PRESENTING AT TERTIARY CARE HOSPITALS OF PESHAWAR. SHILAP Revista de lepidopterología.8 indexed citations
Nazli, Rubina, et al.. (2008). Frequency of eclampsia and maternal complications in a tertiary care facility of Peshawar.. Journal of medical research/The journal of medical research. 47(4).6 indexed citations
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.