Pranab Das

1.6k citations
80 papers · 1.1k · h-index 17

Impact in

Papers in

    • Chemical Synthesis and Reactions 19
    • Oxidative Organic Chemistry Reactions 9
    • Multicomponent Synthesis of Heterocycles 9
    • Synthesis and Biological Evaluation 6
    • Machine Learning in Bioinformatics 7

Pranab Das

74 papers receiving 1.0k citations

Peers

Pranab Das
Comparison fields: 5 of 120
  • Pharmaceutical Science 150
  • Pollution 103
  • Organic Chemistry 251
  • Toxicology 25
  • Materials Chemistry 324
Replace Martin A. Hayes with:
Martin A. Hayes United Kingdom
Mukesh Kumar India
Jingxiang Yang China
M. Fernanda R. P. Proença Portugal
Bhupinder Singh Sekhon India
Jaco C. Breytenbach South Africa
Ibrahim El Tantawy El Sayed Egypt
Snigdha Singh India
Concepción González‐Bello Spain
Geoff P. Horsman Canada
Pranab Das relative to Martin A. Hayes United Kingdom Martin A. Hayes's profile →
Citations per field
00.5×1.5×2.3×
Martin A. Hayes · 1×
Citations per year

Countries citing papers authored by Pranab Das

Since Specialization
Citations

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

Fields of papers citing papers by Pranab Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201287
2 201478
3 201176
4 201864
5 201660
6 201553
7 201450
8 201246
9 201344
10 200743
11 201941
12 201734
13 201433
14 201530
15 202321
16 201318
17 202216
18 199816
19 202215
20 201813

About Pranab Das

Pranab Das is a scholar working on Organic Chemistry, Molecular Biology, Computational Theory and Mathematics, Materials Chemistry and Pharmaceutical Science, having authored 80 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chemical Synthesis and Reactions (19 papers), Computational Drug Discovery Methods (16 papers), Oxidative Organic Chemistry Reactions (9 papers), Multicomponent Synthesis of Heterocycles (9 papers), Machine Learning in Bioinformatics (7 papers), Vanadium and Halogenation Chemistry (6 papers), Ionic liquids properties and applications (6 papers) and Synthesis and Biological Evaluation (6 papers). The work is most often cited by research in Pharmaceutical Science (150 citations), Pollution (103 citations), Organic Chemistry (251 citations), Toxicology (25 citations) and Materials Chemistry (324 citations). Pranab Das has collaborated with scholars based in India, Canada and United Kingdom. Frequent co-authors include Marguerite A. Xenopoulos, Chris D. Metcalfe, Bhaskar Mazumder, Md Ehsanul Hoque, Clayton J. Williams, Paulami Pal, Roberta R. Fulthorpe, Virginia K. Walker, Adam K. Chippindale and Han Xu. Their work appears in journals such as Tetrahedron, Foods, Environmental Science & Technology, RSC Advances and ETRI Journal.

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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