Munazzah Tasleem

609 citations
33 papers · 453 indexed · h-index 11
Topics
Computational Drug Discovery Methods (7 papers)Bioactive Compounds and Antitumor Agents (5 papers)Aldose Reductase and Taurine (3 papers)
Journals
SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesMolecules
Partner nations
Saudi ArabiaChinaIndia

In The Last Decade

Munazzah Tasleem

28 papers receiving 448 citations

Peers

Munazzah Tasleem
Comparison fields: 5 of 100
  • Molecular Biology 208
  • Organic Chemistry 91
  • Computational Theory and Mathematics 58
  • Plant Science 42
  • Pharmacology 41
Replace Zhongmin Fu with:
Zhongmin Fu China
Durg Vijay Singh India
Ísis M. Figueiredo Brazil
Hamilton Mitsugu Ishiki Brazil
Kerstin Jönsson Sweden
Mohammad Saquib India
Céline Crauste France
Mohd Kamil Hussain India
Aleksandra Golonko Poland
Fávero Reisdorfer Paula Brazil
Munazzah Tasleem relative to Zhongmin Fu China Zhongmin Fu's profile →
Citations per field
00.5×4.6×
Zhongmin Fu · 1×
Citations per year

Countries citing papers authored by Munazzah Tasleem

Since Specialization
Citations

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

Fields of papers citing papers by Munazzah Tasleem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Munazzah Tasleem

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 1
6 5
7 2
8 0
9 4
10 14
11 8
12 10
13 8
14 20
15 14
16 44
17 81
18 23
19 3
20 100

About Munazzah Tasleem

Munazzah Tasleem is a scholar working on Toxicology, Biological Psychiatry and Pharmacology, having authored 33 papers that have together received 453 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Bioactive Compounds and Antitumor Agents (5 papers) and Aldose Reductase and Taurine (3 papers). The work is most often cited by research in Toxicology (36 citations), Drug Discovery (1 citation) and Filtration and Separation (9 citations). Munazzah Tasleem has collaborated with scholars based in Saudi Arabia, China and India. Frequent co-authors include Mοhd Saeed, Prashant Singh, Rajan Patel, Meena Kumari, Jitendra Kumar Maurya, Nadiyah M. Alabdallah, Asimul Islam, Faizan Ahmad, Md. Imtaiyaz Hassan and Adel Kadri. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Molecules.

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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