Dipak Chetia

1.7k citations
73 papers · 1.2k indexed · h-index 21
Topics
Computational Drug Discovery Methods (39 papers)Malaria Research and Control (23 papers)Synthesis and biological activity (22 papers)
Partner nations
IndiaIndonesiaChina

In The Last Decade

Dipak Chetia

69 papers receiving 1.1k citations

Peers

Dipak Chetia
Comparison fields: 5 of 83
  • Organic Chemistry 516
  • Computational Theory and Mathematics 453
  • Molecular Biology 307
  • Public Health, Environmental and Occupational Health 182
  • Pharmacology 109
Replace Edeildo Ferreira da Silva‐Júnior with:
Edeildo Ferreira da Silva‐Júnior Brazil
Barij Nayan Sinha India
Vijay H. Masand India
Nizam Uddin Pakistan
Richie R. Bhandare United Arab Emirates
Chaofeng Lou China
Assia Belhassan Morocco
Yun Tang China
Allan Patrick G. Macabeo Philippines
Khac‐Minh Thai Vietnam
Dipak Chetia relative to Edeildo Ferreira da Silva‐Júnior Brazil Edeildo Ferreira da Silva‐Júnior's profile →
Citations per field
00.5×7.5×
Edeildo Ferreira da Silva‐Júnior · 1×
Citations per year

Countries citing papers authored by Dipak Chetia

Since Specialization
Citations

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

Fields of papers citing papers by Dipak Chetia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipak Chetia

This figure shows the co-authorship network connecting the top 25 collaborators of Dipak Chetia. A scholar is included among the top collaborators of Dipak Chetia 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 Dipak Chetia. Dipak Chetia 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
1 1
2 3
3 1
4 0
5 2
6 3
7 3
8 1
9 4
10 9
11 3
12 22
13 64
14 40
15 20
16 8
17 4
18 45
19
Novel 4-aminoquinoline analogues as antimalarial agents: A review
5
20
Synthesis and antimalarial screening of some new isoquine analogues.
1

About Dipak Chetia

Dipak Chetia is a scholar working on Computational Theory and Mathematics, Toxicology and Organic Chemistry, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (39 papers), Malaria Research and Control (23 papers) and Synthesis and biological activity (22 papers). The work is most often cited by research in Computational Theory and Mathematics (453 citations), Toxicology (73 citations) and Organic Chemistry (516 citations). Dipak Chetia has collaborated with scholars based in India, Indonesia and China. Frequent co-authors include Mithun Rudrapal, Neelutpal Gogoi, James H. Zothantluanga, Partha Pratim Kaishap, Gauri Duarah, Bhaskarjyoti Gogoi, Mukesh Kumar Kumawat, Vineeta Singh, Anil Prakash and Bipul Sarma. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Journal of Ethnopharmacology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026