Munazzah Tasleem

50 total papers · 600 total citations
32 papers, 447 citations indexed

About

Munazzah Tasleem is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Munazzah Tasleem has authored 32 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 5 papers in Organic Chemistry. Recurrent topics in Munazzah Tasleem's work include Computational Drug Discovery Methods (7 papers), Bioactive Compounds and Antitumor Agents (5 papers) and Aldose Reductase and Taurine (3 papers). Munazzah Tasleem is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Bioactive Compounds and Antitumor Agents (5 papers) and Aldose Reductase and Taurine (3 papers). Munazzah Tasleem collaborates with scholars based in Saudi Arabia, China and India. Munazzah Tasleem's co-authors include Mοhd Saeed, Prashant Singh, Rajan Patel, Meena Kumari, Jitendra Kumar Maurya, Nadiyah M. Alabdallah, Faizan Ahmad, Asimul Islam, Md. Imtaiyaz Hassan and Kaïss Aouadi and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Molecules.

In The Last Decade

Munazzah Tasleem

28 papers receiving 442 citations

Author Peers

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

Author						Papers	Cites
Munazzah Tasleem	207	91	58	42	41	32	447
Md. Junaid	218 1.1×	81 0.9×	94 1.6×	44 1.0×	65 1.6×	30	479
Muhammad Nasir Iqbal	165 0.8×	73 0.8×	111 1.9×	53 1.3×	39 1.0×	47	461
Pinghua Sun	237 1.1×	166 1.8×	30 0.5×	73 1.7×	50 1.2×	42	543
Faris F. Aba Alkhayl	235 1.1×	48 0.5×	51 0.9×	21 0.5×	39 1.0×	60	460
Durg Vijay Singh	218 1.1×	110 1.2×	46 0.8×	46 1.1×	30 0.7×	31	467
Neelaveni Thangavel	198 1.0×	89 1.0×	72 1.2×	63 1.5×	51 1.2×	30	524
Büşra Dinçer	200 1.0×	140 1.5×	41 0.7×	17 0.4×	104 2.5×	27	454
Vincenzo Vestuto	172 0.8×	56 0.6×	47 0.8×	60 1.4×	32 0.8×	32	419
Mi Kyoung Kim	196 0.9×	77 0.8×	72 1.2×	28 0.7×	66 1.6×	31	528
Thirumalaisamy Rathinavel	122 0.6×	56 0.6×	76 1.3×	65 1.5×	31 0.8×	38	450

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

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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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