Muhammad Ajmal

1.5k total citations
67 papers, 990 citations indexed

About

Muhammad Ajmal is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Muhammad Ajmal has authored 67 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 20 papers in Surgery and 11 papers in Genetics. Recurrent topics in Muhammad Ajmal's work include Retinal Development and Disorders (8 papers), Lipoproteins and Cardiovascular Health (7 papers) and Retinal Diseases and Treatments (6 papers). Muhammad Ajmal is often cited by papers focused on Retinal Development and Disorders (8 papers), Lipoproteins and Cardiovascular Health (7 papers) and Retinal Diseases and Treatments (6 papers). Muhammad Ajmal collaborates with scholars based in Pakistan, United States and Netherlands. Muhammad Ajmal's co-authors include Raheel Qamar, Frans P.M. Cremers, Maleeha Azam, Liaqat Ali, Daojin Yu, Ji‐Long Chen, Yasir Arafat, Mohsan Ullah Goraya, Muhammad Imran Khan and Edward Y. Cheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Muhammad Ajmal

63 papers receiving 967 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Ajmal Pakistan 17 522 212 182 177 66 67 990
Mark G. Evans United States 17 314 0.6× 72 0.3× 307 1.7× 74 0.4× 34 0.5× 79 1.3k
Marì Regoli Italy 21 485 0.9× 50 0.2× 291 1.6× 154 0.9× 6 0.1× 53 1.4k
Emi Kanno Japan 17 211 0.4× 104 0.5× 65 0.4× 27 0.2× 40 0.6× 59 1.1k
F. Capsoni Italy 19 165 0.3× 28 0.1× 64 0.4× 143 0.8× 33 0.5× 68 1.4k
Clare Gordon‐Thomson Australia 21 312 0.6× 94 0.4× 39 0.2× 101 0.6× 45 0.7× 29 1.0k
João Roberto Maciel Martins Brazil 22 283 0.5× 64 0.3× 151 0.8× 67 0.4× 6 0.1× 68 1.1k
Fabian Garreis Germany 24 324 0.6× 301 1.4× 77 0.4× 29 0.2× 12 0.2× 66 1.4k
Masahiro Abe Japan 20 312 0.6× 18 0.1× 323 1.8× 111 0.6× 11 0.2× 118 1.4k
Natalia Camacho United States 18 297 0.6× 95 0.4× 55 0.3× 181 1.0× 4 0.1× 33 1.4k

Countries citing papers authored by Muhammad Ajmal

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Ajmal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Ajmal

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Ajmal. A scholar is included among the top collaborators of Muhammad Ajmal 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 Ajmal. Muhammad Ajmal 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.
2.
Khan, Muhammad Riaz, Thomas J. Nicholas, Muhammad Ajmal, et al.. (2023). Genome sequencing of Pakistani families with male infertility identifies deleterious genotypes in SPAG6, CCDC9, TKTL1, TUBA3C, and M1AP. Andrology. 13(5). 1093–1104. 10 indexed citations
3.
4.
Liu, Chunyu, Muhammad Ajmal, Tariq Ghafoor, et al.. (2021). Genetic analysis of osteopetrosis in Pakistani families identifies novel and known sequence variants. BMC Medical Genomics. 14(1). 264–264. 6 indexed citations
5.
Ajmal, Muhammad, et al.. (2020). Chronic Kidney Disease and Acute Kidney Injury Outcomes Post Left Ventricular Assist Device Implant. Cureus. 12(4). e7725–e7725. 6 indexed citations
6.
Riaz, Moeen, Jane Tiller, Muhammad Ajmal, et al.. (2019). Implementation of public health genomics in Pakistan. European Journal of Human Genetics. 27(10). 1485–1492. 24 indexed citations
7.
Cremers, Frans P.M., Stéphanie S. Cornelis, Nathalie M. Bax, et al.. (2017). In silico functional meta-analysis of 5,962 ABCA4 variants in 3,928 Stargardt disease and cone-rod dystrophy cases. Investigative Ophthalmology & Visual Science. 58(8). 1241–1241. 1 indexed citations
8.
Lamers, Ideke J.C., Miriam Schmidts, Muhammad Ajmal, et al.. (2016). Genetic and clinical characterization of Pakistani families with Bardet-Biedl syndrome extends the genetic and phenotypic spectrum. Scientific Reports. 6(1). 34764–34764. 31 indexed citations
9.
Ajmal, Muhammad, et al.. (2016). Air Pollution and Its Effect on Human Health: A Case Study in Dera Ghazi Khan Urban Areas, Pakistan. Journals & Books Hosting (International Knowledge Sharing Platform). 6(9). 87–93. 1 indexed citations
10.
Hameed, Abdul, et al.. (2015). Genetic association analysis of serotonin transporter polymorphism (5-HTTLPR) with type 2 diabetes patients of Pakistani population. Diabetes Research and Clinical Practice. 108(1). 67–71. 11 indexed citations
11.
Ajmal, Muhammad, et al.. (2015). Whole exome sequencing for handedness in a large and highly consanguineous family. Neuropsychologia. 93(Pt B). 342–349. 14 indexed citations
12.
Donati, François, Stephen C. Brown, Khush Amaria, et al.. (2014). Abstracts 2014. Canadian Journal of Anesthesia/Journal canadien d anesthésie. 61(S1). 1–165. 1 indexed citations
13.
Siddiqi, Saima, Margit Schraders, Jaap Oostrik, et al.. (2014). Genetic Spectrum of Autosomal Recessive Non-Syndromic Hearing Loss in Pakistani Families. PLoS ONE. 9(6). e100146–e100146. 53 indexed citations
14.
Mustafa, Farah, Muhammad Imran Khan, Muhammad Zubair, et al.. (2012). Prevalence of Hepatitis C Virus in urban ghettos of twin cities.. Pakistan Journal of Zoology. 44(4). 937–943. 7 indexed citations
15.
Ahmed, Waqas, Muhammad Ajmal, W. Putt, et al.. (2012). Novel and recurrent LDLR gene mutations in Pakistani hypercholesterolemia patients. Molecular Biology Reports. 39(7). 7365–7372. 6 indexed citations
16.
Ajmal, Muhammad, et al.. (2011). Molecular analysis of lipoid proteinosis: identification of a novel nonsense mutation in the ECM1 gene in a Pakistani family. Diagnostic Pathology. 6(1). 69–69. 15 indexed citations
17.
Ajmal, Muhammad, Waqas Ahmed, Naveed Akhtar, et al.. (2011). A Novel Pathogenic Nonsense Triple-Nucleotide Mutation in the Low-Density Lipoprotein Receptor Gene and Its Clinical Correlation with Familial Hypercholesterolemia. Genetic Testing and Molecular Biomarkers. 15(9). 601–606. 6 indexed citations
18.
Ahmed, Waqas, Imran Saeed, Nuzhat Ahmed, et al.. (2010). Role of tissue plasminogen activator and plasminogen activator inhibitor polymorphism in myocardial infarction. Molecular Biology Reports. 38(4). 2541–2548. 16 indexed citations
19.
Ajmal, Muhammad, et al.. (2009). An ergonomic task analysis of spinal anaesthesia. European Journal of Anaesthesiology. 26(12). 1037–1042. 10 indexed citations
20.
Ajmal, Muhammad, Amar S. Ranawat, & Chitranjan S. Ranawat. (2008). A New Cemented Femoral Stem. The Journal of Arthroplasty. 23(1). 118–122. 2 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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