Asma Naim

439 total citations
14 papers, 333 citations indexed

About

Asma Naim is a scholar working on Molecular Biology, Molecular Medicine and Endocrinology. According to data from OpenAlex, Asma Naim has authored 14 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Molecular Medicine and 5 papers in Endocrinology. Recurrent topics in Asma Naim's work include Antibiotic Resistance in Bacteria (5 papers), Escherichia coli research studies (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Asma Naim is often cited by papers focused on Antibiotic Resistance in Bacteria (5 papers), Escherichia coli research studies (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Asma Naim collaborates with scholars based in Pakistan, Austria and Germany. Asma Naim's co-authors include Abdul Basit Khan, Dorothea Orth‐Höller, Katharina Grif, Manfred P. Dierich, Reinhard Würzner, Anthony J. Day, Heribert Stoiber, Simon J. Clark, Jens Brockmeyer and Helge Karch and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Scientific Reports.

In The Last Decade

Asma Naim

10 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Asma Naim Pakistan 5 221 154 142 49 42 14 333
Hege M. Verweyen Germany 3 276 1.2× 104 0.7× 204 1.4× 28 0.6× 37 0.9× 4 346
Alfonso Ferretti Italy 4 219 1.0× 91 0.6× 163 1.1× 22 0.4× 20 0.5× 6 287
Kenichi Nagayama Japan 11 200 0.9× 101 0.7× 124 0.9× 4 0.1× 7 0.2× 13 333
Roberto A. Chavez United States 7 62 0.3× 127 0.8× 58 0.4× 37 0.8× 15 0.4× 7 380
C. Bucher Switzerland 6 64 0.3× 67 0.4× 38 0.3× 42 1.0× 9 319
Abdulhadi Suwandi Germany 10 36 0.2× 71 0.5× 62 0.4× 2 0.0× 4 0.1× 23 310
Michael P. Motley United States 8 44 0.2× 43 0.3× 57 0.4× 3 0.1× 6 0.1× 10 361
Vladimir E. Diaz-Ochoa United States 5 41 0.2× 53 0.3× 56 0.4× 31 0.7× 8 285
Huynh Tan Hop South Korea 11 37 0.2× 165 1.1× 16 0.1× 4 0.1× 4 0.1× 23 346
Yangtsho Gyaltshen United States 6 19 0.1× 24 0.2× 144 1.0× 3 0.1× 25 0.6× 8 400

Countries citing papers authored by Asma Naim

Since Specialization
Citations

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

Fields of papers citing papers by Asma Naim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asma Naim

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

All Works

14 of 14 papers shown
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Naim, Asma, et al.. (2019). Exploration of phytochemicals for inhibition of monoamine oxidase-A induced cancer using molecular docking studies.. PubMed. 32(4(Supplementary)). 1829–1834. 3 indexed citations
5.
Ain, Qurat ul, Asma Naim, & Asma Saeed. (2019). Prevalence and Resistance Profile of Clinical Isolates of Acinetobacter Species from Karachi, Pakistan. 10(1). 6–13. 2 indexed citations
6.
Fatima, Rida, et al.. (2019). Ligand based screening of chemical constituents from African medicinal plants for the identification of MAOB inhibitors.. PubMed. 32(3 (Supplementary)). 1207–1213. 1 indexed citations
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Naim, Asma, et al.. (2019). Occurrence of ESBLs in Clinical Isolates of Klebsiella Species and Comparative Analysis of Phenotypic Detection Methods. Anti-Infective Agents. 18(3). 255–260. 1 indexed citations
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Naim, Asma, et al.. (2018). Molecular Detection of TEM, SHV and CTX-M Genes Among Gram-negative Klebsiella Isolates. Current Drug Delivery. 15(3). 417–423. 5 indexed citations
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Naim, Asma, et al.. (2013). Antimicrobial polyphenols from small tropical fruits, tea and spice oilseeds. Food Science and Technology International. 20(4). 241–251. 12 indexed citations
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Naim, Asma, et al.. (2011). Virulence traits of Shiga toxin producing Escherichia coli. 2 indexed citations
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Orth‐Höller, Dorothea, Abdul Basit Khan, Asma Naim, et al.. (2009). Shiga Toxin Activates Complement and Binds Factor H: Evidence for an Active Role of Complement in Hemolytic Uremic Syndrome. The Journal of Immunology. 182(10). 6394–6400. 154 indexed citations
13.
Khan, Abdul Basit, Asma Naim, Dorothea Orth‐Höller, et al.. (2008). Serine protease espP subtype α, but not β or γ, of Shiga toxin-producing Escherichia coli is associated with highly pathogenic serogroups. International Journal of Medical Microbiology. 299(4). 247–254. 20 indexed citations
14.
Orth‐Höller, Dorothea, Katharina Grif, Abdul Basit Khan, et al.. (2007). The Shiga toxin genotype rather than the amount of Shiga toxin or the cytotoxicity of Shiga toxin in vitro correlates with the appearance of the hemolytic uremic syndrome. Diagnostic Microbiology and Infectious Disease. 59(3). 235–242. 133 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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