Anima Sharma

486 citations
18 papers · 311 · h-index 6

Impact in

  • Pollution top 10%
    • Microbial bioremediation and biosurfactants
    • Enzyme Production and Characterization

Papers in

    • Nail Diseases and Treatments 7
    • Liver Disease Diagnosis and Treatment 2
    • Enzyme Production and Characterization 6
    • Microbial Metabolism and Applications 2

Anima Sharma

16 papers receiving 298 citations

Peers

Anima Sharma
Comparison fields: 5 of 69
  • Pollution 119
  • Biotechnology 41
  • Epidemiology 100
  • Health, Toxicology and Mutagenesis 37
  • Analytical Chemistry 22
Replace Ghufranud Din with:
Ghufranud Din Pakistan
Miguel Ángel Villalobos-López Mexico
Tianyu Fu China
Alexandre Rieger Brazil
Yadong Guo China
Hai-Qin Tan China
Xiaojun Liu China
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Anima Sharma relative to Ghufranud Din Pakistan Ghufranud Din's profile →
Citations per field
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Ghufranud Din · 1×
Citations per year

Countries citing papers authored by Anima Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Anima Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Anima 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 Anima Sharma Line = papers co-authored together Anima Sharma links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2012139
2 202256
3 201153
4 201516
5 201713
6 20197
7 20165
8 20214
9
Prevalence of keratinophilic fungi in semi-arid region, with particular reference to soil pH.
20103
10 20203
11 20183
12 20252
13 20202
14 20172
15 20122
16 20241
17 20140
18
Tribe in Transition ; A Study of Thakur Gonds
20050

About Anima Sharma

Anima Sharma is a scholar working on Epidemiology, Biotechnology, Plant Science, Molecular Biology and Cell Biology, having authored 18 papers that have together received 311 indexed citations. Recurring topics across this work include Nail Diseases and Treatments (7 papers), Enzyme Production and Characterization (6 papers), Plant Pathogens and Fungal Diseases (3 papers), Microbial bioremediation and biosurfactants (2 papers), Alcohol Consumption and Health Effects (2 papers), Bee Products Chemical Analysis (2 papers), Microbial Metabolism and Applications (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Pollution (119 citations), Biotechnology (41 citations), Epidemiology (100 citations), Health, Toxicology and Mutagenesis (37 citations) and Analytical Chemistry (22 citations). Anima Sharma has collaborated with scholars based in India and United Kingdom. Frequent co-authors include Richa Sharma, Subhash Chandra, Subhash Chandra, Meenakshi Sharma, Madhumita Premkumar, Sandeep Grover, Radha K. Dhiman, Akash Roy, Ajay Duseja and Sunil Taneja. Their work appears in journals such as Journal of King Saud University - Science, Journal of Hepatology, Hepatology International, Asian Journal of Applied Sciences and International Journal Of Recycling of Organic Waste in Agriculture.

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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