Muhammad Rafiq

36 total papers · 1.0k total citations
30 papers, 784 citations indexed

About

Muhammad Rafiq is a scholar working on Cell Biology, Nutrition and Dietetics and Organic Chemistry. According to data from OpenAlex, Muhammad Rafiq has authored 30 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cell Biology, 8 papers in Nutrition and Dietetics and 7 papers in Organic Chemistry. Recurrent topics in Muhammad Rafiq's work include melanin and skin pigmentation (9 papers), Biochemical Analysis and Sensing Techniques (7 papers) and Phytochemicals and Antioxidant Activities (7 papers). Muhammad Rafiq is often cited by papers focused on melanin and skin pigmentation (9 papers), Biochemical Analysis and Sensing Techniques (7 papers) and Phytochemicals and Antioxidant Activities (7 papers). Muhammad Rafiq collaborates with scholars based in Pakistan, South Korea and Saudi Arabia. Muhammad Rafiq's co-authors include Zaman Ashraf, Sung‐Yum Seo, Najam‐us‐Sahar Sadaf Zaidi, Mustafeez Mujtaba Babar, Jinyin Chen, Chunpeng Wan, Muhammad Nisar, Muhammad Saleem, Katarzyna Kotwica-Mojzych and Mariusz Mojzych and has published in prestigious journals such as Molecules, European Journal of Medicinal Chemistry and BioMed Research International.

In The Last Decade

Muhammad Rafiq

29 papers receiving 772 citations

Hit Papers

Pharmacological Propertie... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Muhammad Rafiq 247 234 204 187 140 30 784
Yanying Yu 256 1.0× 95 0.4× 209 1.0× 246 1.3× 269 1.9× 25 861
Shuwen Cao 230 0.9× 92 0.4× 261 1.3× 212 1.1× 274 2.0× 27 896
Amalia Di Petrillo 120 0.5× 94 0.4× 114 0.6× 216 1.2× 164 1.2× 25 813
Majid Khan 142 0.6× 212 0.9× 117 0.6× 338 1.8× 114 0.8× 45 875
Laura Ielo 146 0.6× 475 2.0× 123 0.6× 154 0.8× 97 0.7× 35 762
Yoshiro Yamagiwa 104 0.4× 329 1.4× 99 0.5× 287 1.5× 104 0.7× 32 904
Seung Hwan Hwang 133 0.5× 86 0.4× 91 0.4× 302 1.6× 167 1.2× 49 792
Yiyuan Peng 201 0.8× 176 0.8× 197 1.0× 154 0.8× 278 2.0× 24 672
Qun Yu 178 0.7× 85 0.4× 148 0.7× 183 1.0× 202 1.4× 37 668
Wei Yi 510 2.1× 196 0.8× 429 2.1× 95 0.5× 218 1.6× 17 794

Countries citing papers authored by Muhammad Rafiq

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Rafiq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Rafiq

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Rafiq. A scholar is included among the top collaborators of Muhammad Rafiq 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 Rafiq. Muhammad Rafiq 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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