Normala Abd Latip

649 citations
19 papers · 468 indexed · h-index 8
Topics
Computational Drug Discovery Methods (4 papers)Pharmacogenetics and Drug Metabolism (4 papers)RNA Research and Splicing (3 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaOncogene

In The Last Decade

Normala Abd Latip

16 papers receiving 464 citations

Peers

Normala Abd Latip
Comparison fields: 5 of 88
  • Molecular Biology 309
  • Cancer Research 98
  • Oncology 31
  • Pharmaceutical Science 28
  • Cardiology and Cardiovascular Medicine 23
Replace Abdulkarim Najjar with:
Abdulkarim Najjar Germany
Jinyu Huang China
Ronggang Xi China
Abhijit Chatterjee India
Dandan Yi China
Sandeep Akare United States
Rajaram Venkatesan Finland
Ji‐Eun Seo United States
Rodger Curren United States
Qiaoli Shi China
Normala Abd Latip relative to Abdulkarim Najjar Germany Abdulkarim Najjar's profile →
Citations per field
00.5×11×
Abdulkarim Najjar · 1×
Citations per year

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

19 of 19 papers shown
#WorkIndexed citations
1 0
2 4
3 5
4 39
5 5
6 18
7 0
8 3
9 0
10 20
11 4
12 2
13 12
14 37
15 2
16 1
17 113
18 109
19 94

About Normala Abd Latip

Normala Abd Latip is a scholar working on Pharmacology, Toxicology and Computational Theory and Mathematics, having authored 19 papers that have together received 468 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Pharmacogenetics and Drug Metabolism (4 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cancer Research (98 citations), Pharmaceutical Science (28 citations) and Molecular Biology (309 citations). Normala Abd Latip has collaborated with scholars based in Malaysia, United Kingdom and United States. Frequent co-authors include Sarah P. Blagden, Anne E. Willis, Eric O. Aboagye, Hani Gabra, Martin Bushell, Manuela Mura, Justin Weir, Siti Hamimah Sheikh Abdul Kadir, David M. Glover and Carla Burrows. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Oncogene.

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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