Munmun Das

28 papers receiving 461 citations

Peers

Munmun Das
Comparison fields: 5 of 114
  • Bioengineering 39
  • Filtration and Separation 12
  • Electrochemistry 26
  • Neurology 51
  • Otorhinolaryngology 13
Replace Gordana V. Popović with:
Gordana V. Popović Serbia
Mohammad Ali Karimi Iran
Kashif Naeem Pakistan
John M. Haigh South Africa
John L. Haslam United States
Sylvan G. Frank United States
Hanaa Saleh Egypt
Juan Llor Spain
Mowafaq Mohammed Ghareeb Iraq
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Citations per year

Countries citing papers authored by Munmun Das

Since Specialization
Citations

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

Fields of papers citing papers by Munmun Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Munmun Das, 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 Munmun Das Line = papers co-authored together Munmun Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201681
2 202075
3 200751
4 199233
5 202228
6 200126
7
Antihyperglycemic and antihyperlipidemic activity of Urtica dioica on type 2 diabetic model rats
201121
8 202119
9 200116
10 201416
11 202215
12 199014
13 199114
14 201413
15 202211
16
COMPOSITION OF THE ESSENTIAL OILS OF THE FLOWERS, SHOOTS AND ROOTS OF TWO CULTIVARS OF CHAMOMILLA RECUTITA
200110
17 20209
18 20225
19 20045
20 20245

About Munmun Das

Munmun Das is a scholar working on Bioengineering, Electrochemistry, Electrical and Electronic Engineering, Spectroscopy and Organic Chemistry, having authored 29 papers that have together received 485 indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (8 papers), Surfactants and Colloidal Systems (4 papers), Analytical Chemistry and Sensors (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Advanced Nanomaterials in Catalysis (3 papers), Electrochemical Analysis and Applications (3 papers), Analytical Chemistry and Chromatography (2 papers) and Acute Kidney Injury Research (2 papers). The work is most often cited by research in Bioengineering (39 citations), Filtration and Separation (12 citations), Electrochemistry (26 citations), Neurology (51 citations) and Otorhinolaryngology (13 citations). Munmun Das has collaborated with scholars based in India, Taiwan and United Kingdom. Frequent co-authors include Kamal Uddin Ahamad, Pabitra Nath, Iftak Hussain, Chyuan Haur Kao, Usha Kant Misra, Jayantee Kalita, Pranab Kumar Bhattacharya, Satya P. Moulik, Chan Yu Lin and Anindita Das. Their work appears in journals such as Langmuir, Materials Chemistry and Physics, Materials Today Chemistry, Applied Surface Science and International Journal of Chemical Kinetics.

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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