Akhilesh Kumar

2.2k total citations
80 papers, 1.5k citations indexed

About

Akhilesh Kumar is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Akhilesh Kumar has authored 80 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 19 papers in Epidemiology and 12 papers in Infectious Diseases. Recurrent topics in Akhilesh Kumar's work include Advanced biosensing and bioanalysis techniques (23 papers), Streptococcal Infections and Treatments (10 papers) and Infective Endocarditis Diagnosis and Management (9 papers). Akhilesh Kumar is often cited by papers focused on Advanced biosensing and bioanalysis techniques (23 papers), Streptococcal Infections and Treatments (10 papers) and Infective Endocarditis Diagnosis and Management (9 papers). Akhilesh Kumar collaborates with scholars based in India, United States and Japan. Akhilesh Kumar's co-authors include Shashi Khare, Anand Bachhawat, Ankur Kaushal, Amandeep Kaur, Himanshu Kumar, Bansi D. Malhotra, Shweta Tikoo, Shantanu Sengupta, Shuvadeep Maity and Sunil Gupta and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Akhilesh Kumar

72 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akhilesh Kumar India 20 937 314 207 142 128 80 1.5k
Xing Li China 28 1.8k 2.0× 271 0.9× 95 0.5× 159 1.1× 176 1.4× 99 2.5k
Koichi Abe Japan 25 1.4k 1.5× 460 1.5× 126 0.6× 48 0.3× 76 0.6× 93 2.0k
Heather M. Mottaz United States 20 1.2k 1.3× 246 0.8× 153 0.7× 37 0.3× 62 0.5× 26 2.2k
Hongna Liu China 23 870 0.9× 603 1.9× 135 0.7× 106 0.7× 124 1.0× 75 1.6k
Marimuthu Citartan Malaysia 22 1.6k 1.8× 935 3.0× 222 1.1× 96 0.7× 202 1.6× 64 2.3k
Xiaojing Wang China 19 822 0.9× 416 1.3× 111 0.5× 53 0.4× 201 1.6× 60 1.5k
Devanand M. Pinto Canada 28 899 1.0× 878 2.8× 217 1.0× 135 1.0× 54 0.4× 54 2.3k
Xun Mao China 25 1.5k 1.6× 1.3k 4.0× 237 1.1× 57 0.4× 190 1.5× 51 2.2k
Raja Chinnappan Saudi Arabia 25 1.2k 1.3× 717 2.3× 301 1.5× 71 0.5× 193 1.5× 65 1.8k

Countries citing papers authored by Akhilesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Akhilesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akhilesh Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Akhilesh Kumar. A scholar is included among the top collaborators of Akhilesh Kumar 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 Akhilesh Kumar. Akhilesh Kumar 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.
Kumar, Akhilesh, et al.. (2025). Integrated robust fuzzy evolutionary optimization for time–cost–quality–safety trade-offs in construction projects. Asian Journal of Civil Engineering. 27(3). 975–992.
2.
Kumar, Akhilesh, et al.. (2025). EEG-based emotion recognition: A deep learning approach to brain region analysis. Biomedical Signal Processing and Control. 110. 108111–108111. 1 indexed citations
3.
Verma, Rahul Kumar, et al.. (2025). Intranasal Therapeutics for Neurodegenerative Disorders: Overcoming the Blood–Brain Barrier with Smart Formulations and Devices. Molecular Pharmaceutics. 22(7). 3602–3620. 2 indexed citations
4.
Kumar, Akhilesh, Naveen Malik, Vikram Kumar, et al.. (2024). Intricate mechanism of anxiety disorder, recognizing the potential role of gut microbiota and therapeutic interventions. Metabolic Brain Disease. 40(1). 64–64. 2 indexed citations
5.
Kumar, Akhilesh, et al.. (2024). EEGER – A Model for Recognition of Human Emotion Using Brain Signal. IETE Journal of Research. 71(1). 114–130. 3 indexed citations
6.
Kumar, Akhilesh, et al.. (2024). Innovative food applications of quinoa: Exploring novel insights into its nutritional potential and biological activities. Journal of Food Composition and Analysis. 139. 107133–107133. 2 indexed citations
7.
Gupta, Shagun, Ankur Kaushal, Deepak Kala, et al.. (2022). An Approach for the Development of Immunochip for the Detection of Celiac Disease based on Anti-Gliadin Antibodies Quantification. Biointerface Research in Applied Chemistry. 13(2). 163–163. 1 indexed citations
8.
Kumar, Akhilesh, et al.. (2022). BQ-AurIPr: a redox-active anticancer Au( i ) complex that induces immunogenic cell death. Chemical Science. 13(36). 10779–10785. 23 indexed citations
9.
Moorthy, Balaji T., Chunhua Jiang, Devang M. Patel, et al.. (2022). The evolutionarily conserved arginyltransferase 1 mediates a pVHL-independent oxygen-sensing pathway in mammalian cells. Developmental Cell. 57(5). 654–669.e9. 6 indexed citations
10.
11.
Mukherjee, Arpan, Anand Gaurav, Saurabh Singh, et al.. (2019). Role of Potassium (K) Solubilising Microbes (KSM) in Growth and Induction of Resistance against Biotic and Abiotic Stress in Plant: A Book Review. 7(2). 212–214. 12 indexed citations
12.
Kumar, Akhilesh, et al.. (2018). A Rapid and Precise Mutation-Activated Fluorescence Reporter for Analyzing Acute Mutagenesis Frequency. Cell chemical biology. 25(8). 1038–1049.e5. 4 indexed citations
13.
Gupta, Shagun, Ankur Kaushal, Akhilesh Kumar, & Dinesh Kumar. (2017). Ultrasensitive transglutaminase based nanosensor for early detection of celiac disease in human. International Journal of Biological Macromolecules. 105(Pt 1). 905–911. 43 indexed citations
14.
Sharma, Nidhi, et al.. (2016). Crystal structure analysis in Zn2+-bound state and biophysical characterization of CLas-ZnuA2 Proteins and proteomics. Biochimica et Biophysica Acta. 1 indexed citations
15.
Kumar, Akhilesh, et al.. (2016). Posttranslational arginylation enzyme Ate1 affects DNA mutagenesis by regulating stress response. Cell Death and Disease. 7(9). e2378–e2378. 30 indexed citations
16.
Singh, Swati, Ankur Kaushal, Sunil Gupta, & Akhilesh Kumar. (2016). Gene Specific Impedimetric Bacterial DNA Sensor for Rheumatic Heart Disease. Indian Journal of Microbiology. 57(1). 112–115. 6 indexed citations
17.
Rai, Reena, N. Adrian Leu, Satoshi Kurosaka, et al.. (2015). Arginyltransferase suppresses cell tumorigenic potential and inversely correlates with metastases in human cancers. Oncogene. 35(31). 4058–4068. 27 indexed citations
18.
Sharma, Minakshi, et al.. (2013). Carbon-Mercaptooctadecane/Carboxylated Multi-walled Carbon Nanotubes Composite Based Genosensor for Detection of Bacterial Meningitis. Indian Journal of Microbiology. 54(2). 170–177. 12 indexed citations
19.
Kumar, Akhilesh, et al.. (2010). Quick PCR based diagnosis of typhoid using specific genetic markers. Biotechnology Letters. 32(5). 707–712. 14 indexed citations
20.

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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