Muslim Raza

31 total papers · 781 total citations
28 papers, 661 citations indexed

About

Muslim Raza is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Muslim Raza has authored 28 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Materials Chemistry and 7 papers in Biomedical Engineering. Recurrent topics in Muslim Raza's work include Nanoparticles: synthesis and applications (8 papers), Biochemical and Molecular Research (4 papers) and Protein Interaction Studies and Fluorescence Analysis (4 papers). Muslim Raza is often cited by papers focused on Nanoparticles: synthesis and applications (8 papers), Biochemical and Molecular Research (4 papers) and Protein Interaction Studies and Fluorescence Analysis (4 papers). Muslim Raza collaborates with scholars based in China, Pakistan and Saudi Arabia. Muslim Raza's co-authors include Aftab Ahmad, Kamran Tahir, Arif Ullah Khan, Qipeng Yuan, Saleem Raza, Yun Wei, Sadeeq Ullah, Faheemullah Khan, Zia Ul Haq Khan and Sadia Nazir and has published in prestigious journals such as PLoS ONE, Chemical Engineering Journal and RSC Advances.

In The Last Decade

Muslim Raza

27 papers receiving 655 citations

Author Peers

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

Author						Papers	Cites
Muslim Raza	342	176	156	115	105	28	661
Bhaskarjyoti Gogoi	197 0.6×	92 0.5×	169 1.1×	79 0.7×	123 1.2×	42	780
Chompoonut Rungnim	385 1.1×	133 0.8×	87 0.6×	117 1.0×	70 0.7×	36	749
Saira Tabassum	355 1.0×	106 0.6×	64 0.4×	156 1.4×	104 1.0×	33	666
Tamilselvan Subramani	239 0.7×	65 0.4×	146 0.9×	76 0.7×	85 0.8×	27	667
Debalina Bhattacharya	276 0.8×	171 1.0×	131 0.8×	86 0.7×	30 0.3×	27	698
Yamini Bobde	143 0.4×	83 0.5×	180 1.2×	197 1.7×	103 1.0×	26	663
Gustavo Senra Gonçalves de Carvalho	210 0.6×	77 0.4×	89 0.6×	195 1.7×	37 0.4×	40	718
Maruti J. Dhanavade	217 0.6×	78 0.4×	257 1.6×	108 0.9×	73 0.7×	36	786
Wei Zhang	161 0.5×	120 0.7×	160 1.0×	51 0.4×	49 0.5×	29	569
Qingqing Wang	225 0.7×	134 0.8×	103 0.7×	118 1.0×	77 0.7×	23	752

Countries citing papers authored by Muslim Raza

Since Specialization

Citations

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

Fields of papers citing papers by Muslim Raza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muslim Raza

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