Garima Awasthi

29 papers receiving 390 citations

Peers

Garima Awasthi
Comparison fields: 5 of 84
  • Materials Chemistry 134
  • Plant Science 133
  • Pollution 125
  • Biomedical Engineering 61
  • Industrial and Manufacturing Engineering 40
Replace Fernando López-Valdez with:
Fernando López-Valdez Mexico
Olumayowa Mary Olowe Nigeria
Xunyue Liu China
Kallol Das South Korea
Partha Bandyopadhyay India
Ivani Souza Mello Brazil
Priyadarshani Rajput Russia
Amalia Turner United States
Rana Muhammad Ammar Asghar China
Samiksha Joshi India
Garima Awasthi relative to Fernando López-Valdez Mexico Fernando López-Valdez's profile →
Citations per field
00.5×1.5×2.2×
Fernando López-Valdez · 1×
Citations per year

Countries citing papers authored by Garima Awasthi

Since Specialization
Citations

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

Fields of papers citing papers by Garima Awasthi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garima Awasthi

This figure shows the co-authorship network connecting the top 25 collaborators of Garima Awasthi. A scholar is included among the top collaborators of Garima Awasthi 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 Garima Awasthi. Garima Awasthi 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
#WorkIndexed citations
1 5
2 4
3 0
4 0
5 4
6 2
7 14
8 4
9 2
10 8
11 4
12 5
13 7
14 7
15 35
16 16
17
Environmental Impact of Hyacinth on Water Bodies and Its Remedial Measures: A Case Study
0
18
Cu and Zn tolerance and responses of the Biochemical and Physiochemical system of Wheat
24
19 1
20
Lichen genus Usnea in India
24

About Garima Awasthi

Garima Awasthi is a scholar working on Pollution, Industrial and Manufacturing Engineering and Health, Toxicology and Mutagenesis, having authored 35 papers that have together received 410 indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (9 papers), Heavy Metal Exposure and Toxicity (5 papers) and Heavy metals in environment (4 papers). The work is most often cited by research in Pollution (125 citations), Industrial and Manufacturing Engineering (40 citations) and Plant Science (133 citations). Garima Awasthi has collaborated with scholars based in India and Russia. Frequent co-authors include Kumud Kant Awasthi, Tanvi Singh, Anjali Awasthi, Lokesh Kumar Jangir, Kamlendra Awasthi, Varad Nagar, Pritam P. Pandit, Vinay Aseri, Mahipal Singh Sankhla and Vinod Kumar. Their work appears in journals such as Environmental Science and Pollution Research, Materials Science and Engineering C and International Journal of Environmental Science and Technology.

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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