Muhammad Saqlain

590 total citations · 1 hit paper
28 papers, 288 citations indexed

About

Muhammad Saqlain is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Plant Science. According to data from OpenAlex, Muhammad Saqlain has authored 28 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Genetics and 6 papers in Plant Science. Recurrent topics in Muhammad Saqlain's work include Genetic Associations and Epidemiology (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Nutrition, Genetics, and Disease (2 papers). Muhammad Saqlain is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Nutrition, Genetics, and Disease (2 papers). Muhammad Saqlain collaborates with scholars based in Pakistan, Sweden and Brazil. Muhammad Saqlain's co-authors include Falak Sher Khan, Muhammad Awais, Saipunidzam Mahamad, Iskander Tlili, Rabbia Mahum, Ghazala Kaukab Raja, David Meyre, Marie Pigeyre, Michelle Turcotte and Shagufta Jabeen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Gene.

In The Last Decade

Muhammad Saqlain

25 papers receiving 269 citations

Hit Papers

A novel framework for potato leaf disease detection using... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Muhammad Saqlain Pakistan 7 141 63 33 30 27 28 288
Jasmine Nguyen United States 8 68 0.5× 63 1.0× 8 0.2× 19 0.6× 15 0.6× 17 307
Rauf Ahmad India 8 102 0.7× 13 0.2× 21 0.6× 19 0.6× 13 0.5× 33 273
Xuejing Bai China 10 85 0.6× 7 0.1× 16 0.5× 15 0.5× 16 0.6× 19 331
Jiao Lv China 13 134 1.0× 29 0.5× 7 0.2× 18 0.6× 12 0.4× 42 475
Hongjiao Cai China 11 74 0.5× 6 0.1× 19 0.6× 20 0.7× 19 0.7× 26 404
Dean Dean United Kingdom 9 58 0.4× 8 0.1× 12 0.4× 39 1.3× 18 0.7× 29 383
Chieko Sugawara Japan 12 61 0.4× 14 0.2× 12 0.4× 18 0.6× 6 0.2× 39 382
Sandra A. Dassenko United States 6 197 1.4× 12 0.2× 20 0.6× 35 1.2× 8 0.3× 6 466
Viera Almášiová Slovakia 11 40 0.3× 8 0.1× 13 0.4× 17 0.6× 5 0.2× 43 306
Yijun Ren China 11 23 0.2× 11 0.2× 20 0.6× 11 0.4× 25 0.9× 35 257

Countries citing papers authored by Muhammad Saqlain

Since Specialization
Citations

This map shows the geographic impact of Muhammad Saqlain'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 Muhammad Saqlain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Saqlain more than expected).

Fields of papers citing papers by Muhammad Saqlain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Saqlain. 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 Muhammad Saqlain. The network helps show where Muhammad Saqlain may publish in the future.

Co-authorship network of co-authors of Muhammad Saqlain

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Saqlain. A scholar is included among the top collaborators of Muhammad Saqlain 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 Muhammad Saqlain. Muhammad Saqlain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Naveed, Muhammad, Muhammad Imran, Muhammad Saqlain, et al.. (2023). Elucidating the Potential of Dye-Degrading Enterobacter cloacae ZA14 for Cultivation of Solanum lycopersicum Plants with Textile Effluents. Water. 15(17). 3163–3163. 10 indexed citations
2.
Saqlain, Muhammad, Muhammad Fiaz, Sadia Saeed, et al.. (2022). Risk variants of obesity associated genes demonstrate BMI raising effect in a large cohort. PLoS ONE. 17(9). e0274904–e0274904. 9 indexed citations
3.
Saqlain, Muhammad, et al.. (2022). EXCHANGE RATE VOLATILITY AND ITS RELATIONSHIP WITH MACROECONOMIC VARIABLES IN PAKISTAN. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
4.
Saqlain, Muhammad, Muhammad Asad, Muhammad Kausar Nawaz Shah, et al.. (2022). 9p21 Locus Polymorphism Is A Strong Predictor of Metabolic Syndrome and Cardiometabolic Risk Phenotypes Regardless of Coronary Heart Disease. Genes. 13(12). 2226–2226. 3 indexed citations
5.
Mahum, Rabbia, Muhammad Awais, Falak Sher Khan, et al.. (2022). A novel framework for potato leaf disease detection using an efficient deep learning model. Human and Ecological Risk Assessment An International Journal. 29(2). 303–326. 157 indexed citations breakdown →
6.
Saqlain, Muhammad, et al.. (2020). Body Mass Index versus Other Adiposity Traits: Best Predictor of Cardiometabolic Risk. Iranian Journal of Public Health. 48(12). 2224–2231. 6 indexed citations
7.
Saqlain, Muhammad, et al.. (2020). Case report: adult onset diabetes with partial pancreatic agenesis and congenital heart disease due to a de novo GATA6 mutation. BMC Medical Genetics. 21(1). 5 indexed citations
9.
Ali, S., et al.. (2019). Pakistan’ın Barani Bölgesi’nde Koyunlarda Mide-Bağırsak Nematodlarına Karşı Bazı Antelmintiklerin Etkisi ve Direncin İzlenmesi. Kafkas Universitesi Veteriner Fakultesi Dergisi. 1 indexed citations
10.
Fiaz, Muhammad, et al.. (2019). Association study of Apolipoprotein A5 gene (APOA5 gene) variant with the metabolic syndrome in local Pakistani population.. PubMed. 69(3). 301–305. 4 indexed citations
11.
Driessen, Terri M., Jong Seo Lee, Leon Tejwani, et al.. (2018). Association of CACNA1C with bipolar disorder among the Pakistani population. Gene. 664. 119–126. 13 indexed citations
12.
Yusuf, Osman, et al.. (2018). Single nucleotide polymorphisms in asthma candidate genes TBXA2R, ADAM33 FCER1B and ORMDL3 in Pakistani asthmatics a case control study. SHILAP Revista de lepidopterología. 4(1). 4–4. 13 indexed citations
13.
Saqlain, Muhammad, et al.. (2017). Identification of Metabolic risk phenotypes predisposing to Non-Alcoholic Fatty Liver Disease in a Pakistani Cohort. Pakistan Journal of Medical Sciences. 33(1). 121–126. 11 indexed citations
14.
Pigeyre, Marie, Muhammad Saqlain, Michelle Turcotte, Ghazala Kaukab Raja, & David Meyre. (2017). Obesity genetics: insights from the Pakistani population. Obesity Reviews. 19(3). 364–380. 23 indexed citations
15.
Saqlain, Muhammad, et al.. (2017). Screening of cardiometabolic risks clustering in young Pakistani adults classified by anthropometric traits.. PubMed. 67(12). 1825–1832. 2 indexed citations
16.
Saqlain, Muhammad, et al.. (2016). Comparison of the common immunogenic protein components of Pasteurella multocida serotypes B:2 and B:3,4.. Kafkas Universitesi Veteriner Fakultesi Dergisi. 22(4). 485–491. 1 indexed citations
17.
Mahmood, Abid, et al.. (2016). Association of β-lactoglobulin protein isoforms with milk constituents in goat breeds.. The Journal of Animal and Plant Sciences. 26(3). 862–867. 1 indexed citations
18.
Saeed, Muhammad, et al.. (2015). Effect of Drying Temperature and Natural Preservatives on Reducing Aflatoxins in Solar Dried Persimmon (Diospyros kaki L). 3 indexed citations
20.
Mahmood, Abid, et al.. (2014). Study of β-Lactoglobulin Milk Protein Variants in Buffalo. Pakistan Journal of Zoology. 46(2). 549–552. 3 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.

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