Deepak Rawat

869 citations
10 papers · 646 · h-index 9

Impact in

Papers in

Deepak Rawat

10 papers receiving 635 citations

Peers

Deepak Rawat
Comparison fields: 5 of 74
  • Water Science and Technology 174
  • Analytical Chemistry 88
  • Pollution 101
  • Health, Toxicology and Mutagenesis 109
  • Renewable Energy, Sustainability and the Environment 127
Replace Elaine Regina Lopes Tiburtius with:
Elaine Regina Lopes Tiburtius Brazil
Maria Jonstrup Sweden
K. Sarayu India
Suhas K. Kadam South Korea
Shengquan Zeng United States
Aida Solı́s Mexico
Iemke Bisschops Netherlands
Célia Maria Rech Brazil
Bhawana Pathak India
Myrna Solís Mexico
Deepak Rawat relative to Elaine Regina Lopes Tiburtius Brazil Elaine Regina Lopes Tiburtius's profile →
Citations per field
00.5×3.1×
Elaine Regina Lopes Tiburtius · 1×
Citations per year

Countries citing papers authored by Deepak Rawat

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Rawat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Deepak Rawat, 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 Deepak Rawat Line = papers co-authored together Deepak Rawat links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2016275
2 2017153
3 202239
4 202337
5 202235
6 202233
7 202228
8 202022
9 202320
10 20234

About Deepak Rawat

Deepak Rawat is a scholar working on Plant Science, Health, Toxicology and Mutagenesis, Molecular Biology, Pollution and Ecology, having authored 10 papers that have together received 646 indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (5 papers), Chromium effects and bioremediation (3 papers), Algal biology and biofuel production (2 papers), Microbial Metabolism and Applications (2 papers), Microbial Community Ecology and Physiology (2 papers), Recycling and Waste Management Techniques (1 paper), Electrochemical sensors and biosensors (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). The work is most often cited by research in Water Science and Technology (174 citations), Analytical Chemistry (88 citations), Pollution (101 citations), Health, Toxicology and Mutagenesis (109 citations) and Renewable Energy, Sustainability and the Environment (127 citations). Deepak Rawat has collaborated with scholars based in India, United Kingdom and United Arab Emirates. Frequent co-authors include Vandana Mishra, Radhey Shyam Sharma, Swagata Karmakar, Archana Yadav, Balaram Pani, Brenda Parker, Mrinalini Singh, Pankaj Kumar, Yann Gibert and Anurag Roy. Their work appears in journals such as The Science of The Total Environment, Journal of Water Process Engineering, Chemosphere, Journal of Environmental Management and Ecotoxicology and Environmental Safety.

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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