Normala Abd Latip

32 total papers · 641 total citations
19 papers, 456 citations indexed

About

Normala Abd Latip is a scholar working on Molecular Biology, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Normala Abd Latip has authored 19 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Pharmacology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Normala Abd Latip's work include Pharmacogenetics and Drug Metabolism (4 papers), Computational Drug Discovery Methods (4 papers) and RNA Research and Splicing (3 papers). Normala Abd Latip is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Computational Drug Discovery Methods (4 papers) and RNA Research and Splicing (3 papers). Normala Abd Latip collaborates with scholars based in Malaysia, United Kingdom and United States. Normala Abd Latip's co-authors include Sarah P. Blagden, Anne E. Willis, Eric O. Aboagye, Hani Gabra, Justin Weir, Martin Bushell, Manuela Mura, Siti Hamimah Sheikh Abdul Kadir, Lee Carpenter and Haonan Lu and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Oncogene.

In The Last Decade

Normala Abd Latip

16 papers receiving 453 citations

Author Peers

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

Author Last Decade Papers Cites
Normala Abd Latip 302 98 31 27 23 19 456
Masao Nagao 157 0.5× 112 1.1× 18 0.6× 15 0.6× 20 0.9× 23 415
Masayuki Kato 185 0.6× 130 1.3× 54 1.7× 12 0.4× 12 0.5× 28 449
Nina V. Stourman 295 1.0× 56 0.6× 37 1.2× 8 0.3× 17 0.7× 17 492
Zhihong Li 251 0.8× 144 1.5× 29 0.9× 10 0.4× 9 0.4× 28 529
Inês A. Barbosa 313 1.0× 82 0.8× 39 1.3× 6 0.2× 36 1.6× 20 521
A. Marín 135 0.4× 38 0.4× 27 0.9× 15 0.6× 18 0.8× 15 501
Marwa E. Elsherbiny 264 0.9× 63 0.6× 40 1.3× 6 0.2× 26 1.1× 19 443
Shui-juan Zhang 248 0.8× 43 0.4× 38 1.2× 26 1.0× 12 0.5× 26 517
Pei‐Ru Wu 247 0.8× 81 0.8× 76 2.5× 9 0.3× 14 0.6× 17 472
Yao Wu 298 1.0× 98 1.0× 63 2.0× 22 0.8× 8 0.3× 29 521

Countries citing papers authored by Normala Abd Latip

Since Specialization
Citations

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

Fields of papers citing papers by Normala Abd Latip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Normala Abd Latip. 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 Normala Abd Latip. The network helps show where Normala Abd Latip may publish in the future.

Co-authorship network of co-authors of Normala Abd Latip

This figure shows the co-authorship network connecting the top 25 collaborators of Normala Abd Latip. A scholar is included among the top collaborators of Normala Abd Latip 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 Normala Abd Latip. Normala Abd Latip 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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