Abd. Kakhar Umar

590 total citations
28 papers, 432 citations indexed

About

Abd. Kakhar Umar is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Pharmaceutical Science. According to data from OpenAlex, Abd. Kakhar Umar has authored 28 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 5 papers in Organic Chemistry and 5 papers in Pharmaceutical Science. Recurrent topics in Abd. Kakhar Umar's work include Computational Drug Discovery Methods (10 papers), Diverse Scientific Research Studies (4 papers) and Medicinal Plant Research (4 papers). Abd. Kakhar Umar is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Diverse Scientific Research Studies (4 papers) and Medicinal Plant Research (4 papers). Abd. Kakhar Umar collaborates with scholars based in Indonesia, India and Thailand. Abd. Kakhar Umar's co-authors include Sriwidodo Sriwidodo, Nasrul Wathoni, James H. Zothantluanga, Jittima Amie Luckanagul, Sanjoy Das, Mithun Rudrapal, Iman Permana Maksum, Praveen Kumar Pasala, Dipak Chetia and Ahmed Fouad Abdelwahab Mohammed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecules and Journal of Chemical Information and Modeling.

In The Last Decade

Abd. Kakhar Umar

27 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abd. Kakhar Umar Indonesia 10 105 99 72 59 56 28 432
Weerasak Samee Thailand 13 93 0.9× 65 0.7× 38 0.5× 54 0.9× 150 2.7× 37 513
S. Sathianarayanan India 10 127 1.2× 126 1.3× 39 0.5× 109 1.8× 65 1.2× 37 500
Banu Mansuroğlu Türkiye 13 190 1.8× 135 1.4× 30 0.4× 77 1.3× 76 1.4× 37 652
Anisha Mazumder South Africa 11 233 2.2× 61 0.6× 22 0.3× 101 1.7× 75 1.3× 16 623
Anupma Dwivedi Thailand 12 246 2.3× 69 0.7× 22 0.3× 117 2.0× 86 1.5× 17 679
Michail Rallis Greece 15 107 1.0× 84 0.8× 13 0.2× 32 0.5× 38 0.7× 63 543
Nabeela Ameer Pakistan 9 93 0.9× 63 0.6× 15 0.2× 61 1.0× 50 0.9× 23 407
Prafulla Sabale India 10 63 0.6× 24 0.2× 25 0.3× 51 0.9× 47 0.8× 54 300
Raghu Ram Achar India 14 190 1.8× 69 0.7× 84 1.2× 8 0.1× 126 2.3× 61 701

Countries citing papers authored by Abd. Kakhar Umar

Since Specialization
Citations

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

Fields of papers citing papers by Abd. Kakhar Umar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abd. Kakhar Umar

This figure shows the co-authorship network connecting the top 25 collaborators of Abd. Kakhar Umar. A scholar is included among the top collaborators of Abd. Kakhar Umar 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 Abd. Kakhar Umar. Abd. Kakhar Umar 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
1.
Umar, Abd. Kakhar, et al.. (2024). Complexed hyaluronic acid-based nanoparticles in cancer therapy and diagnosis: Research trends by natural language processing. Heliyon. 11(1). e41246–e41246. 7 indexed citations
2.
Umar, Abd. Kakhar, et al.. (2023). In-silico screening of Acacia pennata and Bridelia retusa reveals pinocembrin-7-O-β-D-glucopyranoside as a promising β-lactamase inhibitor to combat antibiotic resistance. Journal of Biomolecular Structure and Dynamics. 42(17). 8800–8812. 3 indexed citations
3.
Zothantluanga, James H., et al.. (2023). An In-Silico Investigation on the Molecular Interactions between Ellagic Acid and Pf DHFR-TS. Polycyclic aromatic compounds. 44(6). 4081–4102. 2 indexed citations
4.
Umar, Abd. Kakhar, et al.. (2023). Neuroprotective compounds from marine invertebrates. Beni-Suef University Journal of Basic and Applied Sciences. 12(1). 5 indexed citations
5.
Zothantluanga, James H., et al.. (2023). Revelation of potential drug targets of luteolin in Plasmodium falciparum through multi-target molecular dynamics simulation studies. Journal of Biomolecular Structure and Dynamics. 42(21). 11612–11628. 1 indexed citations
6.
Zothantluanga, James H., Dipak Chetia, Sanchaita Rajkhowa, & Abd. Kakhar Umar. (2023). Unsupervised machine learning, QSAR modelling and web tool development for streamlining the lead identification process of antimalarial flavonoids. SAR and QSAR in environmental research. 34(2). 117–146. 6 indexed citations
7.
Abdalla, Mohnad, James H. Zothantluanga, Felwa A. Thagfan, et al.. (2023). Multi-target molecular dynamic simulations reveal glutathione-S-transferase as the most favorable drug target of knipholone in Plasmodium falciparum. Journal of Biomolecular Structure and Dynamics. 41(22). 12808–12824. 6 indexed citations
8.
Umar, Abd. Kakhar, James H. Zothantluanga, Jittima Amie Luckanagul, Patanachai Limpikirati, & Sriwidodo Sriwidodo. (2023). Structure-based computational screening of 470 natural quercetin derivatives for identification of SARS-CoV-2 Mpro inhibitor. PeerJ. 11. e14915–e14915. 16 indexed citations
9.
10.
Pasala, Praveen Kumar, et al.. (2022). Silybin phytosome attenuates cerebral ischemia‐reperfusion injury in rats by suppressing oxidative stress and reducing inflammatory response: In vivo and in silico approaches. Journal of Biochemical and Molecular Toxicology. 36(7). e23073–e23073. 38 indexed citations
11.
12.
Sriwidodo, Sriwidodo, Abd. Kakhar Umar, Nasrul Wathoni, et al.. (2022). Liposome-polymer complex for drug delivery system and vaccine stabilization. Heliyon. 8(2). e08934–e08934. 82 indexed citations
13.
Umar, Abd. Kakhar. (2021). Flavonoid compounds of buah merah (Pandanus conoideus Lamk) as a potent SARS-CoV-2 main protease inhibitor: in silico approach. SHILAP Revista de lepidopterología. 7(1). 158–158. 9 indexed citations
14.
Umar, Abd. Kakhar, et al.. (2021). Characterization and acute oral toxicity of concentrated minerals of Pamekasan Madura seawater. Journal of Advanced Pharmaceutical Technology amp Research. 12(3). 305–309.
15.
Umar, Abd. Kakhar, et al.. (2020). <p>Film-Forming Sprays for Topical Drug Delivery</p>. Drug Design Development and Therapy. Volume 14. 2909–2925. 56 indexed citations
16.
Wathoni, Nasrul, Agus Rusdin, Abd. Kakhar Umar, et al.. (2020). <p>Enteric-Coated Strategies in Colorectal Cancer Nanoparticle Drug Delivery System</p>. Drug Design Development and Therapy. Volume 14. 4387–4405. 43 indexed citations
17.
Sriwidodo, Sriwidodo, Iman Permana Maksum, Toto Subroto, et al.. (2020). <p>Activity and Effectiveness of Recombinant hEGF Excreted by <em>Escherichia coli</em> BL21 on Wound Healing in Induced Diabetic Mice</p>. Journal of Experimental Pharmacology. Volume 12. 339–348. 5 indexed citations
18.
Sriwidodo, Sriwidodo, et al.. (2020). Preparation and Optimization of Chitosan-hEGF Nanoparticle Using Ionic Gelation Method Stabilized by Polyethylene Glycol (PEG) for Wound Healing Therapy. International Journal of Research in Pharmaceutical Sciences. 11(1). 1220–1230. 5 indexed citations
19.
Sriwidodo, Sriwidodo, et al.. (2020). Physicochemical Characterization of Concentrated Mineral and Magnesium Isolate of Sea Water Pamekasan Madura. International Journal of Research in Pharmaceutical Sciences. 11(SPL4). 2154–2157. 1 indexed citations
20.
Umar, Abd. Kakhar, et al.. (2019). Kahar method: A novel calculation method of tonicity adjustment. Journal of Pharmacy And Bioallied Sciences. 11(8). 635–635. 2 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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