Swati Jain

434 total citations
25 papers, 340 citations indexed

About

Swati Jain is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Spectroscopy. According to data from OpenAlex, Swati Jain has authored 25 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Electrical and Electronic Engineering and 4 papers in Spectroscopy. Recurrent topics in Swati Jain's work include Analytical Chemistry and Chromatography (4 papers), Computational Drug Discovery Methods (3 papers) and Protein purification and stability (3 papers). Swati Jain is often cited by papers focused on Analytical Chemistry and Chromatography (4 papers), Computational Drug Discovery Methods (3 papers) and Protein purification and stability (3 papers). Swati Jain collaborates with scholars based in India, Canada and Iran. Swati Jain's co-authors include Prabhat Pandit, Raj K. Vyas, Ajay K. Dalai, Pardeep Kumar, Nilesh Jain, K. S. Pitre, Rakesh Kumar Tekade, Prashant Kesharwani, Vipin Kumar Garg and Pramod Kumar Sharma and has published in prestigious journals such as Tetrahedron Letters, SAE technical papers on CD-ROM/SAE technical paper series and Water Air & Soil Pollution.

In The Last Decade

Swati Jain

22 papers receiving 331 citations

Peers

Swati Jain
Comparison fields: 5 of 93
  • Pollution 109
  • Organic Chemistry 59
  • Molecular Biology 58
  • Infectious Diseases 43
  • Biomedical Engineering 41
Replace Suresh Kumarasamy with:
Suresh Kumarasamy India
Amy R. Marts United States
Nidhi Singh India
Muath Mousa United Arab Emirates
Hiren Doshi India
Grzegorz Framski Poland
Monika Wieczerzak Poland
Xinyu Chen China
D.J. Speed New Zealand
Majid Rezayi Iran
Suresh Kumarasamy India View profile →
Citations per field, relative to Swati Jain
Swati Jain · 1×
Citations per year, relative to Swati Jain
Swati Jain · 1×

Countries citing papers authored by Swati Jain

Since Specialization
Citations

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

Fields of papers citing papers by Swati Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swati Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Swati Jain. A scholar is included among the top collaborators of Swati Jain 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 Swati Jain. Swati Jain 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
# Work Indexed citations
1 1
2 1
3 1
4 8
5 1
6 8
7 17
8 1
9 0
10 29
11 29
12 144
13
A review on fate of antiviral drugs in environment and detection techniques
5
14
Antiulcer activity of aqueous extract of Musa paradisiaca
3
15
Anti-inflammatory activity of aqueous extract of Beta vulgaris L.
13
16
Anti-Inflammatory Activity of Butea monosperma Leaves
1
17 1
18 5
19 34
20 6

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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