Deepak Pardasani

1.6k citations
74 papers · 1.3k · h-index 21

Impact in

Papers in

    • Analytical chemistry methods development 35
    • Mass Spectrometry Techniques and Applications 12
    • Analytical Chemistry and Chromatography 12
    • Molecular Sensors and Ion Detection 2

Deepak Pardasani

73 papers receiving 1.3k citations

Peers

Deepak Pardasani
Comparison fields: 5 of 56
  • Analytical Chemistry 677
  • Toxicology 148
  • Spectroscopy 382
  • Food Science 161
  • Organic Chemistry 199
Replace Vijay Tak with:
Vijay Tak India
Paul A. D’Agostino Canada
Meehir Palit India
Ajay Kumar Purohit India
Ming‐Ren Fuh Taiwan
Calum Morrison United Kingdom
Devasish Bose India
Elham Aghaee Iran
Kouichiro Tsuge Japan
Marcel J. van der Schans Netherlands
Deepak Pardasani relative to Vijay Tak India Vijay Tak's profile →
Citations per field
00.5×2×3.2×
Vijay Tak · 1×
Citations per year

Countries citing papers authored by Deepak Pardasani

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Pardasani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deepak Pardasani, 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 Pardasani Line = papers co-authored together Deepak Pardasani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004147
2 2011102
3 200662
4 201452
5 200439
6 200838
7 200636
8 200936
9 201634
10 201531
11 200530
12 200730
13 200525
14 201424
15 200423
16 200523
17 200623
18 201123
19 200622
20 201021

About Deepak Pardasani

Deepak Pardasani is a scholar working on Analytical Chemistry, Spectroscopy, Toxicology, Organic Chemistry and Food Science, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Analytical chemistry methods development (35 papers), Organophosphorus compounds synthesis (21 papers), Forensic Toxicology and Drug Analysis (14 papers), Pesticide Residue Analysis and Safety (13 papers), Mass Spectrometry Techniques and Applications (12 papers), Analytical Chemistry and Chromatography (12 papers), Pesticide Exposure and Toxicity (5 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Analytical Chemistry (677 citations), Toxicology (148 citations), Spectroscopy (382 citations), Food Science (161 citations) and Organic Chemistry (199 citations). Deepak Pardasani has collaborated with scholars based in India and China. Frequent co-authors include Devendra Kumar Dubey, Vijay Tak, Pankaj K. Kanaujia, Arvind Kumar Gupta, Meehir Palit, Ajay Kumar Purohit, Ajay Kumar Gupta, Varoon Singh, Sridhar Chinthakindi and Avik Mazumder. Their work appears in journals such as Journal of Chromatography A, Rapid Communications in Mass Spectrometry, Tetrahedron Letters, European Journal of Mass Spectrometry and Analytical Chemistry.

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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