Prateek Pathak

69 papers receiving 1.4k citations

Prateek Pathak's Hit Papers

Nitrogen Containing Heterocycles as Anticancer Agents: A Medicinal Chemistry Perspective 2023 · 253 citations
2530+1+2Years since publication50100150200250

Peers

Prateek Pathak
Comparison fields: 5 of 87
  • Rehabilitation 124
  • Drug Discovery 5
  • Organic Chemistry 514
  • Computational Theory and Mathematics 125
  • Pharmaceutical Science 48
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Heying Pei China
Jagat Pal Yadav India
Eryun Zhang China
Marta Rui Italy
Shulin Yang China
Jubie Selvaraj India
Alessandra Ammazzalorso Italy
Yanting Huang China
Lenka Varinská Slovakia
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Countries citing papers authored by Prateek Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Prateek Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Prateek Pathak, 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 Prateek Pathak Line = papers co-authored together Prateek Pathak 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
Nitrogen Containing Heterocycles as Anticancer Agents: A Medicinal Chemistry Perspective
Hit paper breakdown →
2023253
2 2015175
3
Concept of Hybrid Drugs and Recent Advancements in Anticancer Hybrids
Hit paper breakdown →
2022162
4 202463
5 202362
6 202457
7 202351
8 202434
9 202230
10 202329
11 201827
12 201925
13 201925
14 202123
15 202220
16 202018
17 202117
18 201616
19 202116
20 202115

About Prateek Pathak

Prateek Pathak is a scholar working on Organic Chemistry, Computational Theory and Mathematics, Rehabilitation, Biomaterials and Endocrinology, Diabetes and Metabolism, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Synthesis and biological activity (14 papers), Synthesis and Characterization of Heterocyclic Compounds (11 papers), Computational Drug Discovery Methods (9 papers), Melanoma and MAPK Pathways (7 papers), Natural Antidiabetic Agents Studies (6 papers), Medicinal Plant Research (6 papers), Nanoparticles: synthesis and applications (5 papers) and Nanoparticle-Based Drug Delivery (5 papers). The work is most often cited by research in Rehabilitation (124 citations), Drug Discovery (5 citations), Organic Chemistry (514 citations), Computational Theory and Mathematics (125 citations) and Pharmaceutical Science (48 citations). Prateek Pathak has collaborated with scholars based in India, Russia and Saudi Arabia. Frequent co-authors include Amita Verma, Maria Grishina, Jagat Pal Yadav, Pradeep Kumar, Ankit Kumar Singh, Habibullah Khalilullah, Harshwardhan Singh, Adarsh Kumar, Abdul-Hamid M. Emwas and Mariusz Jaremko. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Biocatalysis and Agricultural Biotechnology, Archiv der Pharmazie, Chemistry & Biodiversity and RSC Medicinal 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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