Ashima Sharma

1.1k citations
43 papers · 768 · h-index 15

Impact in

Papers in

Ashima Sharma

39 papers receiving 760 citations

Peers

Ashima Sharma
Comparison fields: 5 of 107
  • Health, Toxicology and Mutagenesis 356
  • Atmospheric Science 294
  • Environmental Engineering 210
  • Endocrinology 37
  • Pollution 69
Replace Can Zhang with:
Can Zhang China
Eleftheria Katsivela Greece
Yunjiang Zhang China
D. J. Stewart United Kingdom
Haoran Zhang China
Rebecca C. Stearns United States
Patrick Goegan Canada
Basant Giri Nepal
Andrea Rössnerová Czechia
Hailin Yang China
Ashima Sharma relative to Can Zhang China Can Zhang's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Ashima Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Ashima Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ashima Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ashima Sharma Line = papers co-authored together Ashima Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017147
2 200678
3 201576
4 201652
5 201651
6 201635
7 201734
8 201031
9 201730
10 202124
11 200023
12 201820
13 201116
14 202115
15 202414
16 201713
17 202112
18 201012
19 20178
20 20168

About Ashima Sharma

Ashima Sharma is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Atmospheric Science, Environmental Engineering and Materials Chemistry, having authored 43 papers that have together received 768 indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (9 papers), Air Quality and Health Impacts (9 papers), Air Quality Monitoring and Forecasting (8 papers), Analytical chemistry methods development (4 papers), 2D Materials and Applications (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Transgenic Plants and Applications (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (356 citations), Atmospheric Science (294 citations), Environmental Engineering (210 citations), Endocrinology (37 citations) and Pollution (69 citations). Ashima Sharma has collaborated with scholars based in India, United States and South Africa. Frequent co-authors include T. K. Mandal, Sudhir Kumar Sharma, Shelley M. Payne, Mohit Raj Saxena, C. Sharma, Nikki Choudhary, Tapan K. Chaudhuri, Srishti Jain, A.K. Gupta and N. C. Gupta. Their work appears in journals such as Scientific Reports, Atmospheric Pollution Research, Urban Climate, Molecular Microbiology and Journal of Biotechnology.

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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