Mahesh A. Barmade

529 citations
12 papers · 422 indexed · h-index 8
Topics
Synthesis and biological activity (8 papers)Computational Drug Discovery Methods (4 papers)Tuberculosis Research and Epidemiology (3 papers)
Partner nations
IndiaUnited Kingdom

In The Last Decade

Mahesh A. Barmade

12 papers receiving 415 citations

Peers

Mahesh A. Barmade
Comparison fields: 5 of 70
  • Organic Chemistry 244
  • Molecular Biology 175
  • Infectious Diseases 69
  • Computational Theory and Mathematics 53
  • Pharmacology 39
Replace Girish A. Hampannavar with:
Girish A. Hampannavar South Africa
Iveta Zadražilová Czechia
Manmohan Sharma India
Amit Bhattacharya India
Mohamed S. Bekheit Egypt
Noor Atatreh United Arab Emirates
Ondřej Janďourek Czechia
Daniel Szulczyk Poland
Moni Sharma India
José Luís Lavandera Spain
Mahesh A. Barmade relative to Girish A. Hampannavar South Africa Girish A. Hampannavar's profile →
Citations per field
00.5×1.7×
Girish A. Hampannavar · 1×
Citations per year

Countries citing papers authored by Mahesh A. Barmade

Since Specialization
Citations

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

Fields of papers citing papers by Mahesh A. Barmade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mahesh A. Barmade. 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 Mahesh A. Barmade. The network helps show where Mahesh A. Barmade may publish in the future.

Co-authorship network of co-authors of Mahesh A. Barmade

This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh A. Barmade. A scholar is included among the top collaborators of Mahesh A. Barmade 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 Mahesh A. Barmade. Mahesh A. Barmade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 3
2 2
3 1
4 114
5 9
6 85
7 10
8 25
9 57
10 2
11 19
12 95

About Mahesh A. Barmade

Mahesh A. Barmade is a scholar working on Organic Chemistry, Computational Theory and Mathematics and Physiology, having authored 12 papers that have together received 422 indexed citations. Recurring topics across this work include Synthesis and biological activity (8 papers), Computational Drug Discovery Methods (4 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Organic Chemistry (244 citations), Toxicology (29 citations) and Infectious Diseases (69 citations). Mahesh A. Barmade has collaborated with scholars based in India and United Kingdom. Frequent co-authors include Prashant R. Murumkar, Mange Ram Yadav, Rupesh V. Chikhale, Mayank Sharma, Pankaj B. Miniyar, Kailash G. Bothara, Pallavi B. Patil, Rajani Giridhar, Ashish M. Kanhed and Hardik Gandhi. Their work appears in journals such as Journal of Medicinal Chemistry, RSC Advances and European Journal of 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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