Mukesh Kumar Verma

673 total citations
55 papers, 467 citations indexed

About

Mukesh Kumar Verma is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Molecular Biology. According to data from OpenAlex, Mukesh Kumar Verma has authored 55 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Materials Chemistry, 16 papers in Electronic, Optical and Magnetic Materials and 14 papers in Molecular Biology. Recurrent topics in Mukesh Kumar Verma's work include Magnetic and transport properties of perovskites and related materials (11 papers), Advanced Condensed Matter Physics (10 papers) and Multiferroics and related materials (8 papers). Mukesh Kumar Verma is often cited by papers focused on Magnetic and transport properties of perovskites and related materials (11 papers), Advanced Condensed Matter Physics (10 papers) and Multiferroics and related materials (8 papers). Mukesh Kumar Verma collaborates with scholars based in India, United States and Estonia. Mukesh Kumar Verma's co-authors include Devinder Singh, Sanjeev Sharma, Nisha Choudhary, S. K. Dutta, Ratna Prabha, Dhananjaya P. Singh, Vijai Kumar Gupta, Carl F. Blackman, Raj Kumar and Shailendra K. Gupta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and Frontiers in Microbiology.

In The Last Decade

Mukesh Kumar Verma

49 papers receiving 451 citations

Peers

Mukesh Kumar Verma

EOMM

CMP

EEE

Huibin Lu China

Maria V. Efremova Russia

Hiral Patel United States

Jacques Fattaccioli France

Gadiel Saper Israel

Zhefeng Lou China

Günther Jutz Germany

S. Betteridge United Kingdom

L.M. Lacava Brazil

Lihuang Li China

Huibin Lu China

Mukesh Kumar Verma

282 ×1.4

221 ×1.2

EOMM

95 ×1.1

CMP

113 ×1.5

109 ×1.7

EEE

Citations per year, relative to Mukesh Kumar Verma Mukesh Kumar Verma (= 1×) peers Huibin Lu

Countries citing papers authored by Mukesh Kumar Verma

Since Specialization

Citations

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

Fields of papers citing papers by Mukesh Kumar Verma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukesh Kumar Verma

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

All Works

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20 of 20 papers shown

AlObaid, Abeer A., et al.. (2025). Exploring quantum confinement and photoluminescence in NiO@W2C composite hybrid nanostructures for advanced photocatalytic applications. Optical Materials. 162. 116848–116848. 2 indexed citations

Verma, Mukesh Kumar, et al.. (2025). An optimal strategy for estimating the population mean in stratified random sampling under an auxiliary attribute. Life Cycle Reliability and Safety Engineering. 15(1). 69–75.

Verma, Mukesh Kumar, et al.. (2025). Improved estimation strategy of mean using linear cost function under stratified sampling. Quality & Quantity. 59(S2). 1143–1162.

Verma, Mukesh Kumar, et al.. (2025). Structural and magnetic properties of Fe2TeO6-α-Fe2O3 nanocomposite. Bulletin of Materials Science. 48(1).

Verma, Mukesh Kumar, et al.. (2024). Bismuth chalcogenide assisted Nanomaterials: A versatile platform against harmful bacteria and toxic organic moieties. Environmental Nanotechnology Monitoring & Management. 22. 101010–101010. 1 indexed citations

Verma, Mukesh Kumar, et al.. (2024). An effective and economic estimation of population mean in stratified random sampling using a linear cost function. Heliyon. 10(10). e31291–e31291. 1 indexed citations

Verma, Mukesh Kumar, et al.. (2023). A critical review for antibiotic removal from aqueous medium using ceria-based nanostructures. Materials Today Proceedings. 3 indexed citations

Verma, Mukesh Kumar, Anju Gupta, & Raj Kumar. (2023). Fabrication, characterization and application of Se doped Bi2S3 nanoflowers for the efficient removal of toxic methylene blue dye. Materials Today Proceedings. 7 indexed citations

Verma, Mukesh Kumar, et al.. (2023). Nitrogen and phosphorus substitution driven optical anisotropy in bismuth chalcogenides X B i 7 Y 12 (X=Bi, N, P; Y=S, Se) from visible to IR region. Computational Condensed Matter. 37. e00843–e00843. 2 indexed citations

10.

Verma, Mukesh Kumar, et al.. (2023). Contributions of probiotic L. acidophilus 291 as biotechnological tool in therapeutic applications. Research Journal of Biotechnology. 18(9). 147–154.

11.

Choudhary, Nisha, et al.. (2019). Correlation between magnetic and transport properties of rare earth doped perovskite manganites La0.6R0.1Ca0.3MnO3 (R = La, Nd, Sm, Gd, and Dy) synthesized by Pechini process. Materials Chemistry and Physics. 242. 122482–122482. 26 indexed citations

12.

Verma, Mukesh Kumar, et al.. (2019). Structural and magneto-transport properties of Li-substituted La0.65Ca0.35-Li MnO3 (0 ≤ x ≤ 0.15) CMR manganites. Journal of Alloys and Compounds. 814. 152279–152279. 24 indexed citations

13.

Singh, Dhananjaya P., Ratna Prabha, Vijai Kumar Gupta, & Mukesh Kumar Verma. (2018). Metatranscriptome Analysis Deciphers Multifunctional Genes and Enzymes Linked With the Degradation of Aromatic Compounds and Pesticides in the Wheat Rhizosphere. Frontiers in Microbiology. 9. 1331–1331. 37 indexed citations

14.

Patel, Ashish, et al.. (2011). Single Wall Carbon Nanotubes Block Ion Passage in Mechano-Sensitive Ion Channels by Interacting with Extracellular Domain. Journal of Biomedical Nanotechnology. 7(1). 183–185. 5 indexed citations

15.

Verma, Mukesh Kumar, et al.. (2006). Use of nanotechnology for the development of novel cancer biomarkers. Expert Review of Molecular Diagnostics. 6(5). 679–683. 14 indexed citations

16.

Verma, Mukesh Kumar & S. K. Dutta. (1994). DNA sequences encoding enolase are remarkably conserved from yeast to mammals. Life Sciences. 55(12). 893–899. 26 indexed citations

17.

Dutta, S. K., et al.. (1990). Expression of DNA sequences containing neuron specific enolase gene in Scherichia Coli. Biochemical and Biophysical Research Communications. 173(1). 231–239. 5 indexed citations

18.

Dutta, S. K. & Mukesh Kumar Verma. (1990). Primary structure of the non-transcribed spacer region and flanking sequences of the ribosomal DNA of Neurospora crassa and comparison with other organisms. Biochemical and Biophysical Research Communications. 170(1). 187–193. 12 indexed citations

19.

Dutta, S. K., et al.. (1987). Neurospora crassa nuclear genome contains analogy of Saccharomyces cerevisiae genes for ribosomal RNA processing. Current Genetics. 12(3). 225–229. 1 indexed citations

20.

Verma, Mukesh Kumar & S. K. Dutta. (1987). Phylogenetic implication of heterogeneity of the nontranscribed spacer of rDNA repeating unit in various Neurospora and related fungal species. Current Genetics. 11(4). 309–314. 9 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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