Gopal L. Khatik

2.0k citations
107 papers · 1.6k indexed · h-index 23
Topics
Synthesis and biological activity (22 papers)Natural Antidiabetic Agents Studies (16 papers)Computational Drug Discovery Methods (16 papers)
Partner nations
IndiaAustraliaMalaysia

In The Last Decade

Gopal L. Khatik

96 papers receiving 1.5k citations

Peers

Gopal L. Khatik
Comparison fields: 5 of 104
  • Organic Chemistry 831
  • Molecular Biology 446
  • Endocrinology, Diabetes and Metabolism 185
  • Computational Theory and Mathematics 121
  • Pharmacology 115
Replace Atish T. Paul with:
Atish T. Paul India
K. Sreedhara Ranganath Pai India
Aakash Deep India
Aneela Maalik Pakistan
Rashad Al‐Salahi Saudi Arabia
Md Rafi Haider India
Khalid Mohammed Khan Pakistan
Bahar Ahmed India
Xiaoan Wen China
Hezhong Jiang China
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Citations per field
00.5×4.5×
Atish T. Paul · 1×
Citations per year

Countries citing papers authored by Gopal L. Khatik

Since Specialization
Citations

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

Fields of papers citing papers by Gopal L. Khatik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gopal L. Khatik. 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 Gopal L. Khatik. The network helps show where Gopal L. Khatik may publish in the future.

Co-authorship network of co-authors of Gopal L. Khatik

This figure shows the co-authorship network connecting the top 25 collaborators of Gopal L. Khatik. A scholar is included among the top collaborators of Gopal L. Khatik 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 Gopal L. Khatik. Gopal L. Khatik 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
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11 15
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14 17
15 66
16 56
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Recent advancement over traditional drug in the treatment of hypertension
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18 4
19 16
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DIABETES MELLITUS: RECENT ADVANCEMENT IN PPAR AGONISTS AS THERAPEUTIC AGENTS
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About Gopal L. Khatik

Gopal L. Khatik is a scholar working on Organic Chemistry, Endocrinology, Diabetes and Metabolism and Computational Theory and Mathematics, having authored 107 papers that have together received 1.6k indexed citations. Recurring topics across this work include Synthesis and biological activity (22 papers), Natural Antidiabetic Agents Studies (16 papers) and Computational Drug Discovery Methods (16 papers). The work is most often cited by research in Organic Chemistry (831 citations), Endocrinology, Diabetes and Metabolism (185 citations) and Pharmaceutical Science (64 citations). Gopal L. Khatik has collaborated with scholars based in India, Australia and Malaysia. Frequent co-authors include Raj Kumar, Asit K. Chakraborti, Vipin A. Nair, Manish Vyas, Paranjeet Kaur, Surendra Kumar Nayak, Varun Kumar, Amit Mittal, Ashish Suttee and Gaurav Sharma. Their work appears in journals such as Journal of Controlled Release, The Journal of Organic Chemistry and Tetrahedron.

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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