Muhammad Aslam

61 total papers · 2.7k total citations
33 papers, 2.0k citations indexed

About

Muhammad Aslam is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Muhammad Aslam has authored 33 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 6 papers in Molecular Biology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Muhammad Aslam's work include Genetic Associations and Epidemiology (4 papers), Nuclear Receptors and Signaling (3 papers) and Mesenchymal stem cell research (3 papers). Muhammad Aslam is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Nuclear Receptors and Signaling (3 papers) and Mesenchymal stem cell research (3 papers). Muhammad Aslam collaborates with scholars based in United States, Pakistan and Germany. Muhammad Aslam's co-authors include S. Alex Mitsialis, Stella Kourembanas, Angeles Fernandez‐Gonzalez, Changjin Lee, Eleni Vergadi, Konstantinos Sdrimas, Sally Vitali, Georgios Konstantinou, Rajiv Baveja and Olin D. Liang and has published in prestigious journals such as New England Journal of Medicine, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Muhammad Aslam

29 papers receiving 2.0k citations

Hit Papers

Exosomes Mediate the Cyto... 2012 2026 2016 2021 2012 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Muhammad Aslam 799 780 585 428 400 33 2.0k
J. Bryan Iorgulescu 511 0.6× 403 0.5× 854 1.5× 573 1.3× 496 1.2× 71 2.4k
Sabrina Rossi 1.0k 1.3× 1.0k 1.3× 478 0.8× 139 0.3× 350 0.9× 55 2.5k
Arman Jahangiri 910 1.1× 271 0.3× 622 1.1× 588 1.4× 151 0.4× 65 2.8k
Shinichiro Wakisaka 714 0.9× 545 0.7× 294 0.5× 235 0.5× 207 0.5× 93 2.3k
Tomitaka Nakayama 695 0.9× 641 0.8× 455 0.8× 422 1.0× 307 0.8× 42 1.9k
Catherine Miquel 757 0.9× 271 0.3× 199 0.3× 566 1.3× 484 1.2× 56 2.2k
J. M. Bruner 1.0k 1.3× 266 0.3× 318 0.5× 739 1.7× 166 0.4× 48 2.5k
D C Brown 620 0.8× 385 0.5× 299 0.5× 142 0.3× 347 0.9× 31 2.0k
Christine Mallet 1.5k 1.8× 672 0.9× 368 0.6× 585 1.4× 95 0.2× 29 3.0k
Ken-ichi Iyama 702 0.9× 433 0.6× 616 1.1× 228 0.5× 114 0.3× 82 2.4k

Countries citing papers authored by Muhammad Aslam

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Aslam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Aslam

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

All Works

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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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