Mukesh Yadav

414 total citations
31 papers, 269 citations indexed

About

Mukesh Yadav is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Mukesh Yadav has authored 31 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 4 papers in Organic Chemistry. Recurrent topics in Mukesh Yadav's work include Computational Drug Discovery Methods (11 papers), Synthesis and biological activity (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Mukesh Yadav is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Synthesis and biological activity (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Mukesh Yadav collaborates with scholars based in India, Saudi Arabia and China. Mukesh Yadav's co-authors include Anuraj Nayarisseri, Srinivas Bandaru, Nageswara Rao Dunna, Sree Bhushan Raju, Disha Patel, Dowlathabad Muralidhara Rao, Achuthsankar S. Nair, Parveen Jahan, Mayuri Bhatia and M.R.N. Prasad and has published in prestigious journals such as Current Pharmaceutical Design, Current Topics in Medicinal Chemistry and Current Neuropharmacology.

In The Last Decade

Mukesh Yadav

29 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mukesh Yadav India 11 120 89 41 32 24 31 269
Matthias Festag Switzerland 10 155 1.3× 18 0.2× 30 0.7× 9 0.3× 6 0.3× 16 363
Abby Jacobs United States 7 137 1.1× 18 0.2× 38 0.9× 6 0.2× 12 0.5× 7 401
Chia-Wen Hsu United States 8 84 0.7× 36 0.4× 28 0.7× 6 0.2× 11 0.5× 11 222
Marije Niemeijer Netherlands 10 168 1.4× 43 0.5× 25 0.6× 5 0.2× 13 0.5× 19 340
Elisabetta Molteni Italy 9 161 1.3× 10 0.1× 19 0.5× 58 1.8× 15 0.6× 17 382
Raymond J. Gonzalez United States 7 107 0.9× 30 0.3× 34 0.8× 27 0.8× 3 0.1× 13 347
Yu‐Ning Juan Taiwan 9 108 0.9× 13 0.1× 36 0.9× 15 0.5× 2 0.1× 11 245
Bas ter Braak Netherlands 11 159 1.3× 14 0.2× 47 1.1× 16 0.5× 5 0.2× 22 303
Rémi Dulize Switzerland 12 166 1.4× 30 0.3× 20 0.5× 4 0.1× 4 0.2× 17 350

Countries citing papers authored by Mukesh Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Mukesh Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukesh Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Mukesh Yadav. A scholar is included among the top collaborators of Mukesh Yadav 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 Mukesh Yadav. Mukesh Yadav 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.
Dayal, Rajeshwar, et al.. (2018). Current Scenario of Neonatal Sepsis in West U.P. Pediatric Review International Journal of Pediatric Research. 5(12). 609–616. 1 indexed citations
2.
Bandaru, Srinivas, et al.. (2016). Common SAR Derived from Multiple QSAR Models on Vorinostat Derivatives Targeting HDACs in Tumor Treatment. Current Pharmaceutical Design. 22(33). 5072–5078. 5 indexed citations
3.
Bhatia, Mayuri, Karnam Venkatesh, G. Ravi, et al.. (2014). Isolation and characterization of a novel chlorpyrifos degrading flavobacterium species EMBS0145 by 16S rRNA gene sequencing. Interdisciplinary Sciences Computational Life Sciences. 7(1). 1–6. 18 indexed citations
4.
Yadav, Mukesh, et al.. (2014). Identification and characterization of alkaline protease producing Bacillus firmus species EMBS023 by 16S rRNA gene sequencing. Interdisciplinary Sciences Computational Life Sciences. 6(4). 271–278. 12 indexed citations
5.
Yadav, Mukesh, et al.. (2014). Inverse QSAR approach and Molecular docking studies to design novel methoxy substituted Chalcones and their Computational Anticancer activity evaluation. 1 indexed citations
6.
Sharma, Ritika, et al.. (2014). Stem Cells: An Update. Journal of Indian Academy of Forensic Medicine. 36(3). 276–280. 1 indexed citations
7.
Yadav, Mukesh, et al.. (2014). INTERNALLY WEIGHTED DENTURES: A TREATMENT MODALITY FOR SEVERELY RESORBED MANDIBULAR RIDGE: A CASE REPORT. Journal of Evolution of Medical and Dental Sciences. 3(41). 10374–10378.
8.
Nayarisseri, Anuraj, Mukesh Yadav, Mayuri Bhatia, et al.. (2013). Impact of Next-Generation Whole-Exome sequencing in molecular diagnostics. Drug Invention Today. 5(4). 327–334. 9 indexed citations
9.
Nayarisseri, Anuraj, et al.. (2013). In silico investigations on HSP90 and its inhibition for the therapeutic prevention of breast cancer. Journal of Pharmacy Research. 7(2). 150–156. 15 indexed citations
10.
Nayarisseri, Anuraj, et al.. (2013). Computational evaluation of new homologous down regulators of translationally controlled tumor protein (TCTP) targeted for tumor reversion. Interdisciplinary Sciences Computational Life Sciences. 5(4). 274–279. 21 indexed citations
11.
Bandaru, Srinivas, et al.. (2013). Binding Modes and Pharmacophoric Features of Muscarinic Antagonism and β2 Agonism (MABA) Conjugates. Current Topics in Medicinal Chemistry. 13(14). 1650–1655. 17 indexed citations
12.
Vuree, Sugunakar, Nageswara Rao Dunna, Imran Ali Khan, et al.. (2013). Pharmacogenomics of drug resistance in Breast Cancer Resistance Protein (BCRP) and its mutated variants. Journal of Pharmacy Research. 6(7). 791–798. 13 indexed citations
13.
Yadav, Mukesh, et al.. (2013). Optimization of Gaussian Kernel Function in Support Vector Machine aided QSAR studies of C-aryl glucoside SGLT2 inhibitors. Interdisciplinary Sciences Computational Life Sciences. 5(1). 45–52. 10 indexed citations
14.
Yadav, Mukesh, et al.. (2013). Global QSAR modeling of LogP values of phenethylamines acting as adrenergic alpha-1 receptor agonists. Interdisciplinary Sciences Computational Life Sciences. 5(2). 150–154. 6 indexed citations
15.
Sharma, Ritika, et al.. (2013). Dental Stem Cells: Harnessing Newer Possibilities. Journal of Indian Academy of Forensic Medicine. 35(4). 378–382. 1 indexed citations
16.
Yadav, Mukesh, et al.. (2013). Cross evaluation of different classes of alpha-adrenergic receptor antagonists to identify overlapping pharmacophoric requirements. Journal of Pharmacy Research. 6(1). 173–178. 4 indexed citations
17.
Sabnani, Manoj K., et al.. (2012). IDENTIFICATION AND CHARACTERIZATION OF PROTEASES AND AMYLASES PRODUCING Bacillus licheniformis STRAIN EMBS026 BY 16S rRNA GENE SEQUENCING. International Journal of Microbiology Research. 4(5). 231–235. 9 indexed citations
18.
Radhakrishnan, Ethiraj Kannatt, et al.. (2012). Identification of LOGP Values and Electronegativities As Structural Insights to Model Inhibitory Activity of HIV-1 Capsid Inhibitors - A SVM and MLR Aided QSAR Studies. Current Topics in Medicinal Chemistry. 12(16). 1763–1774. 7 indexed citations
19.
Kumar, Alok, Archana Verma, Mukesh Yadav, & Achal Kumar Srivastava. (2011). Fall: The Accidental Injury in Geriatric Population. Journal of Indian Academy of Forensic Medicine. 33(2). 82–85. 6 indexed citations
20.
Rao, Dowlathabad Muralidhara, et al.. (2010). COMPARATIVE MODELING OF METHYLENTETRAHYDROFOLATE REDUCTASE (MTHFR) ENZYME AND ITS MUTATIONAL ASSESSMENT: IN SILICO APPROACH. 2(1). 5–9. 15 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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