Umar Ndagi

1.2k total citations · 1 hit paper
14 papers, 918 citations indexed

About

Umar Ndagi is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Umar Ndagi has authored 14 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 6 papers in Organic Chemistry and 5 papers in Molecular Biology. Recurrent topics in Umar Ndagi's work include Computational Drug Discovery Methods (8 papers), Metal complexes synthesis and properties (3 papers) and Antibiotic Resistance in Bacteria (2 papers). Umar Ndagi is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Metal complexes synthesis and properties (3 papers) and Antibiotic Resistance in Bacteria (2 papers). Umar Ndagi collaborates with scholars based in South Africa, Nigeria and Czechia. Umar Ndagi's co-authors include Mahmoud E. S. Soliman, Ndumiso N. Mhlongo, Monsurat M. Lawal, Hezekiel M. Kumalo, Michael J. Klink, Isiaka A. Lawal, Gideon F. Tolufashe, Sunday O. Oyedemi and Hussaini Anthony Makun and has published in prestigious journals such as RSC Advances, Journal of Inorganic Biochemistry and Applied Biochemistry and Biotechnology.

In The Last Decade

Umar Ndagi

14 papers receiving 905 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Metal complexes in cancer therapy – an update from drug design perspective

2017 735 citations Umar Ndagi, Ndumiso N. Mhlongo et al. Drug Design Development and Therapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Umar Ndagi South Africa	8	553	464	244	142	124	14	918
Ndumiso N. Mhlongo South Africa	13	554 1.0×	526 1.1×	388 1.6×	148 1.0×	120 1.0×	33	1.1k
Shazia Parveen India	18	453 0.8×	507 1.1×	259 1.1×	106 0.7×	109 0.9×	72	963
Sreekanth Thota Brazil	13	531 1.0×	646 1.4×	279 1.1×	133 0.9×	90 0.7×	31	1.0k
Damiano Cirri Italy	18	660 1.2×	575 1.2×	275 1.1×	157 1.1×	115 0.9×	53	1.0k
Elizabeth M. Bolitho United Kingdom	7	419 0.8×	351 0.8×	170 0.7×	134 0.9×	120 1.0×	9	704
Raphael Enoque Ferraz de Paiva Brazil	19	462 0.8×	545 1.2×	259 1.1×	166 1.2×	108 0.9×	56	975
Biljana Đ. Glišić Serbia	20	669 1.2×	716 1.5×	239 1.0×	243 1.7×	187 1.5×	75	1.2k
Prinessa Chellan South Africa	16	549 1.0×	708 1.5×	152 0.6×	136 1.0×	172 1.4×	31	1.1k
Dajena Tomco United States	6	439 0.8×	327 0.7×	166 0.7×	78 0.5×	129 1.0×	8	650
Hristo P. Varbanov Austria	18	535 1.0×	453 1.0×	211 0.9×	194 1.4×	45 0.4×	32	821

Countries citing papers authored by Umar Ndagi

Since Specialization

Citations

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

Fields of papers citing papers by Umar Ndagi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Umar Ndagi

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

All Works

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14 of 14 papers shown

Oyedemi, Sunday O., et al.. (2023). Computational studies of potential antiviral compounds from some selected Nigerian medicinal plants against SARS-CoV-2 proteins. Informatics in Medicine Unlocked. 38. 101230–101230. 5 indexed citations

Ndagi, Umar, et al.. (2022). Impact of Drug Repurposing on SARS-Cov-2 Main Protease. Russian Journal of Physical Chemistry A. 96(14). 3311–3330. 1 indexed citations

Ndagi, Umar, et al.. (2022). Ursolic acid as a potential inhibitor of Mycobacterium tuberculosis cytochrome bc1 oxidase—a molecular modelling perspective. Journal of Molecular Modeling. 28(2). 35–35. 5 indexed citations

Kumalo, Hezekiel M., et al.. (2021). Drug repurposing approach against Mycobacterium tuberculosis Enoyl-[acyl-carrier-protein] reductase: insight from molecular dynamics simulations. Molecular Simulation. 47(16). 1313–1325. 2 indexed citations

Ndagi, Umar, Hezekiel M. Kumalo, & Ndumiso N. Mhlongo. (2021). A consequence of drug targeting of aminoacyl‐tRNA synthetases in Mycobacteriumtuberculosis. Chemical Biology & Drug Design. 98(3). 421–434. 4 indexed citations

Ndagi, Umar, et al.. (2021). Tailored Modeling of Rivastigmine Derivatives as Dual Acetylcholinesterase and Butyrylcholinesterase Inhibitors for Alzheimer's Disease Treatment. Chemistry & Biodiversity. 18(11). e2100361–e2100361. 7 indexed citations

Lawal, Monsurat M., Isiaka A. Lawal, Michael J. Klink, et al.. (2020). Density functional theory study of gold(III)-dithiocarbamate complexes with characteristic anticancer potentials. Journal of Inorganic Biochemistry. 206. 111044–111044. 16 indexed citations

Ndagi, Umar, et al.. (2020). Antibiotic resistance: bioinformatics-based understanding as a functional strategy for drug design. RSC Advances. 10(31). 18451–18468. 48 indexed citations

Ndagi, Umar, et al.. (2019). An analogue of a kinase inhibitor exhibits subjective characteristics that contribute to its inhibitory activities as a potential anti-cancer candidate: insights through computational biomolecular modelling of UM-164 binding with lyn protein. RSC Advances. 10(1). 145–161. 12 indexed citations

10.

Ndagi, Umar, Monsurat M. Lawal, & Mahmoud E. S. Soliman. (2019). DFT Study of the Structural and Electronic Properties of Selected Organogold(III) Compounds with Characteristic Anticancer Activity. Russian Journal of Physical Chemistry A. 93(8). 1543–1558. 17 indexed citations

11.

Ndagi, Umar, Ndumiso N. Mhlongo, & Mahmoud E. S. Soliman. (2017). The impact of Thr91 mutation on c-Src resistance to UM-164: molecular dynamics study revealed a new opportunity for drug design. Molecular BioSystems. 13(6). 1157–1171. 49 indexed citations

12.

Ndagi, Umar, Ndumiso N. Mhlongo, & Mahmoud E. S. Soliman. (2017). Metal complexes in cancer therapy – an update from drug design perspective. Drug Design Development and Therapy. Volume11. 599–616. 735 indexed citations breakdown →

13.

Ndagi, Umar, Ndumiso N. Mhlongo, & Mahmoud E. S. Soliman. (2017). Emergence of a Promising Lead Compound in the Treatment of Triple Negative Breast Cancer: An Insight into Conformational Features and Ligand Binding Landscape of c-Src Protein with UM-164. Applied Biochemistry and Biotechnology. 185(3). 655–675. 12 indexed citations

14.

Ndagi, Umar, Ndumiso N. Mhlongo, & Mahmoud E. S. Soliman. (2016). Re-emergence of an orphan therapeutic target for the treatment of resistant prostate cancer – a thorough conformational and binding analysis for ROR-γ protein. Journal of Biomolecular Structure and Dynamics. 36(2). 335–350. 5 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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