Trupti S. Chitre

504 citations
32 papers · 387 indexed · h-index 11
Topics
Synthesis and biological activity (20 papers)Computational Drug Discovery Methods (11 papers)Click Chemistry and Applications (7 papers)
Partner nations
IndiaNorwayUnited States

In The Last Decade

Trupti S. Chitre

28 papers receiving 354 citations

Peers

Trupti S. Chitre
Comparison fields: 5 of 71
  • Organic Chemistry 311
  • Molecular Biology 101
  • Computational Theory and Mathematics 76
  • Pharmacology 33
  • Infectious Diseases 24
Replace Pankaj B. Miniyar with:
Pankaj B. Miniyar India
Jiraporn Ungwitayatorn Thailand
Mohammed Farrag El‐Behairy Egypt
G.R. Vanaja India
Sumeer Ahmed India
Abdeslem Bouzina Algeria
Rubina Bhutani India
Shashikant V. Bhandari India
Manal N. Saudi Egypt
Mohamed A. Said Egypt
Trupti S. Chitre relative to Pankaj B. Miniyar India Pankaj B. Miniyar's profile →
Citations per field
00.5×1.5×2.1×
Pankaj B. Miniyar · 1×
Citations per year

Countries citing papers authored by Trupti S. Chitre

Since Specialization
Citations

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

Fields of papers citing papers by Trupti S. Chitre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trupti S. Chitre. 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 Trupti S. Chitre. The network helps show where Trupti S. Chitre may publish in the future.

Co-authorship network of co-authors of Trupti S. Chitre

This figure shows the co-authorship network connecting the top 25 collaborators of Trupti S. Chitre. A scholar is included among the top collaborators of Trupti S. Chitre 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 Trupti S. Chitre. Trupti S. Chitre 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 0
2 0
3 8
4 4
5 2
6 2
7 1
8 6
9 5
10 15
11 3
12 24
13
Molecular docking studies of quinoline-3-carbohydrazide as novel PTP1B inhibitors as potential antihyperglycemic agents
6
14
Synthesis of some uracil derivatives using ionic liquid
1
15 8
16 18
17 63
18 15
19 69
20 17

About Trupti S. Chitre

Trupti S. Chitre is a scholar working on Organic Chemistry, Computational Theory and Mathematics and Virology, having authored 32 papers that have together received 387 indexed citations. Recurring topics across this work include Synthesis and biological activity (20 papers), Computational Drug Discovery Methods (11 papers) and Click Chemistry and Applications (7 papers). The work is most often cited by research in Organic Chemistry (311 citations), Computational Theory and Mathematics (76 citations) and Toxicology (16 citations). Trupti S. Chitre has collaborated with scholars based in India, Norway and United States. Frequent co-authors include Kailash G. Bothara, Shashikant V. Bhandari, M. K. Kathiravan, Aniket P. Sarkate, Ajit Patil, Vanaja Kumar, Deepak K. Lokwani, Vidya Pawar, Vijay M. Khedkar and Dinesh R. Garud. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Medicinal Chemistry and Bioorganic & 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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