Ashwani Mittal

2.0k total citations
53 papers, 1.7k citations indexed

About

Ashwani Mittal is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Ashwani Mittal has authored 53 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 7 papers in Physiology and 7 papers in Cancer Research. Recurrent topics in Ashwani Mittal's work include Muscle Physiology and Disorders (13 papers), Exercise and Physiological Responses (6 papers) and Enzyme Production and Characterization (5 papers). Ashwani Mittal is often cited by papers focused on Muscle Physiology and Disorders (13 papers), Exercise and Physiological Responses (6 papers) and Enzyme Production and Characterization (5 papers). Ashwani Mittal collaborates with scholars based in India, United States and Taiwan. Ashwani Mittal's co-authors include Ashok Kumar, Rajesh Dabur, Hong Li, Sanjeev Gupta, Shephali Bhatnagar, Elisha R. Injeti, Lawrence D. Longo, Prachi Gupta, Ravi Goyal and Ciprian P. Gheorghe and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

In The Last Decade

Ashwani Mittal

49 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashwani Mittal India 23 909 310 206 160 155 53 1.7k
Tania Gamberi Italy 26 666 0.7× 251 0.8× 103 0.5× 87 0.5× 80 0.5× 82 1.6k
Klaus‐Dietrich Kröncke Germany 22 559 0.6× 662 2.1× 98 0.5× 99 0.6× 68 0.4× 31 2.1k
Ting Zhao China 26 865 1.0× 129 0.4× 231 1.1× 169 1.1× 51 0.3× 141 2.2k
Ji Hyung Chung South Korea 30 1.1k 1.2× 373 1.2× 190 0.9× 184 1.1× 67 0.4× 94 2.5k
G. K. Rajanikant India 29 859 0.9× 360 1.2× 249 1.2× 141 0.9× 105 0.7× 92 2.3k
Anna Lisa Furfaro Italy 23 1.6k 1.8× 205 0.7× 430 2.1× 254 1.6× 152 1.0× 43 2.6k
Litai Jin China 23 1.0k 1.1× 166 0.5× 154 0.7× 74 0.5× 41 0.3× 81 1.8k
Hua Li China 28 963 1.1× 173 0.6× 284 1.4× 120 0.8× 70 0.5× 78 2.2k
Lei Ding China 29 1.1k 1.3× 660 2.1× 354 1.7× 358 2.2× 62 0.4× 74 3.3k
Yunxia Zhu China 28 1.0k 1.1× 305 1.0× 445 2.2× 65 0.4× 101 0.7× 77 2.1k

Countries citing papers authored by Ashwani Mittal

Since Specialization
Citations

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

Fields of papers citing papers by Ashwani Mittal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashwani Mittal

This figure shows the co-authorship network connecting the top 25 collaborators of Ashwani Mittal. A scholar is included among the top collaborators of Ashwani Mittal 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 Ashwani Mittal. Ashwani Mittal 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.
Mittal, Ashwani, Sameena R. Mulani, Santosh Bimli, et al.. (2025). Sustainable photocatalytic detoxification of organic azo dyes using nickel manganite spinel nanoparticles. Journal of Water Process Engineering. 79. 108913–108913.
2.
Devi, Raman, et al.. (2024). Antioxidant potential and polyphenols analysis of medicinal herb Ocimum tenuiflorum (Shyama Tulsi). Journal of Applied and Natural Science. 16(1). 289–298. 2 indexed citations
3.
Choudhary, Manjusha, et al.. (2024). Mechanistic insights into antidiabetic potential of Ficus viren against multi organ specific diabetic targets: molecular docking, MDS, MM-GBSA analysis. Computational Biology and Chemistry. 113. 108185–108185. 1 indexed citations
4.
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6.
Mittal, Ashwani, Anita Dua, Sanjeev Gupta, & Elisha R. Injeti. (2021). A research update: Significance of cytokine storm and diaphragm in COVID-19. SHILAP Revista de lepidopterología. 2. 100031–100031. 10 indexed citations
7.
Mittal, Ashwani, et al.. (2020). Mesoporous electroactive silver doped calcium borosilicates: Structural, antibacterial and myogenic potential relationship of improved bio-ceramics. Ceramics International. 47(3). 3586–3596. 20 indexed citations
8.
Mittal, Ashwani, et al.. (2019). Bioremediation of Cadmium Contaminated Effluent by Sporosarcina luteola:A Bacterium Isolated from Soil near Wazirpur Industrial Area, New Delhi, India. Asian Journal of Chemistry. 31(11). 2642–2646. 1 indexed citations
9.
Dabur, Rajesh, Bhawana Sharma, & Ashwani Mittal. (2018). Mechanistic approach of anti-diabetic compounds identified from natural sources. Chemical Biology Letters. 5(2). 63–99. 21 indexed citations
10.
Gupta, Prachi, Ravindra Gujar, Anita Grewal, et al.. (2017). Efficient and modified protocol for zymography to detect muscle specific calpain activity. Biocatalysis and Agricultural Biotechnology. 10. 96–103. 7 indexed citations
11.
Saini, Vikram, Prachi Gupta, Manju Bala, et al.. (2017). S-allyl cysteine inhibits TNFα-induced skeletal muscle wasting through suppressing proteolysis and expression of inflammatory molecules. Biochimica et Biophysica Acta (BBA) - General Subjects. 1862(4). 895–906. 29 indexed citations
12.
Dabur, Rajesh & Ashwani Mittal. (2016). Detection and qualitative analysis of fatty acid amides in the urine of alcoholics using HPLC-QTOF-MS. Alcohol. 52. 71–78. 13 indexed citations
13.
Mittal, Ashwani, et al.. (2016). STUDY TO SHOW THE EFFECT OF INTRAHEPATIC CHOLESTASIS OF PREGNANCY ON PERINATAL OUTCOME IN UNCOMPLICATED PREGNANCY. Journal of Evolution of Medical and Dental Sciences. 5(69). 4964–4966. 1 indexed citations
14.
Mittal, Ashwani & Rajesh Dabur. (2015). Detection of New Human Metabolic Urinary Markers in Chronic Alcoholism and Their Reversal by Aqueous Extract of Tinospora cordifolia Stem. Alcohol and Alcoholism. 50(3). 271–281. 19 indexed citations
15.
Aggarwal, Ranjana, et al.. (2011). Copper(II) chloride mediated synthesis and DNA photocleavage activity of 1-aryl/heteroaryl-4-substituted-1,2,4-triazolo[4,3-a]quinoxalines. European Journal of Medicinal Chemistry. 46(12). 6083–6088. 30 indexed citations
16.
Bhatnagar, Shephali, Ashwani Mittal, Sanjay Gupta, & Ashok Kumar. (2011). TWEAK causes myotube atrophy through coordinated activation of ubiquitin‐proteasome system, autophagy, and caspases. Journal of Cellular Physiology. 227(3). 1042–1051. 70 indexed citations
17.
Mittal, Ashwani, Shephali Bhatnagar, Akhilesh Kumar, et al.. (2010). Genetic Ablation of TWEAK Augments Regeneration and Post-Injury Growth of Skeletal Muscle in Mice. American Journal Of Pathology. 177(4). 1732–1742. 52 indexed citations
18.
19.
Gheorghe, Ciprian P., Ravi Goyal, Ashwani Mittal, & Lawrence D. Longo. (2009). Gene expression in the placenta: maternal stress and epigenetic responses. The International Journal of Developmental Biology. 54(2-3). 507–523. 116 indexed citations
20.
Li, Hong, et al.. (2009). Matrix metalloproteinase-9 inhibition ameliorates pathogenesis and improves skeletal muscle regeneration in muscular dystrophy. Human Molecular Genetics. 18(14). 2584–2598. 142 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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