Muneerah Smith

29 total papers · 2.1k total citations
12 papers, 206 citations indexed

About

Muneerah Smith is a scholar working on Animal Science and Zoology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Muneerah Smith has authored 12 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Animal Science and Zoology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Infectious Diseases. Recurrent topics in Muneerah Smith's work include Animal Virus Infections Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Muneerah Smith is often cited by papers focused on Animal Virus Infections Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Muneerah Smith collaborates with scholars based in South Africa, United States and India. Muneerah Smith's co-authors include Victor F. Nettles, Terry E. Creekmore, William O. Fletcher, Peter G.W. Plagemann, Robert E. Click, Jonathan M. Blackburn, Roger Hunter, Catherine H. Kaschula, M. Iqbal Parker and Henry A. Adeola and has published in prestigious journals such as The Journal of Immunology, Journal of Agricultural and Food Chemistry and Biochimica et Biophysica Acta (BBA) - General Subjects.

In The Last Decade

Muneerah Smith

11 papers receiving 190 citations

Author Peers

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

Author Last Decade Papers Cites
Muneerah Smith 45 33 33 31 31 12 206
Stephen McCleary 72 1.6× 39 1.2× 22 0.7× 22 0.7× 12 0.4× 14 286
Yeon-Ji Bae 66 1.5× 46 1.4× 18 0.5× 61 2.0× 10 0.3× 16 212
Mebrie Zemene Kinde 53 1.2× 23 0.7× 10 0.3× 19 0.6× 4 0.1× 21 207
Raymond A. Brown 91 2.0× 16 0.5× 17 0.5× 25 0.8× 8 0.3× 14 256
Catherine M. Moore 88 2.0× 16 0.5× 11 0.3× 23 0.7× 7 0.2× 17 241
Jason Roth 18 0.4× 71 2.2× 37 1.1× 83 2.7× 2 0.1× 15 197
Kovilen Sawmynaden 76 1.7× 20 0.6× 18 0.5× 10 0.3× 5 0.2× 15 263
Jiumeng Min 56 1.2× 17 0.5× 47 1.4× 20 0.6× 8 205
Lauren Boucher 138 3.1× 12 0.4× 12 0.4× 12 0.4× 9 0.3× 17 291
Cheng‐Feng Chiang 86 1.9× 8 0.2× 14 0.4× 97 3.1× 12 0.4× 14 240

Countries citing papers authored by Muneerah Smith

Since Specialization
Citations

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

Fields of papers citing papers by Muneerah Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muneerah Smith

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