Taposh Kumar Das

51 papers receiving 2.0k citations

Peers

Taposh Kumar Das
Comparison fields: 5 of 141
  • Infectious Diseases 592
  • Molecular Medicine 110
  • Epidemiology 485
  • Molecular Biology 801
  • Biotechnology 72
Replace Francesca Bonvicini with:
Francesca Bonvicini Italy
Catherine S. Spina United States
Shailja Singh India
Edwin Alexander Yates United Kingdom
Deepak Sharma India
Christopher A. McDevitt Australia
Mingchun Li China
Jenny K.W. Lam Hong Kong
Huw D. Williams United Kingdom
Cosmin Teodor Mihai Romania
Taposh Kumar Das relative to Francesca Bonvicini Italy Francesca Bonvicini's profile →
Citations per field
00.5×2×2.7×
Francesca Bonvicini · 1×
Citations per year

Countries citing papers authored by Taposh Kumar Das

Since Specialization
Citations

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

Fields of papers citing papers by Taposh Kumar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007201
2 2007200
3 2000163
4 2004140
5 2004111
6 200199
7 200584
8 200381
9 199569
10 200262
11 200762
12 200361
13 200350
14 200947
15
Mutation spectrum of CYP1B1 in North Indian congenital glaucoma patients.
200947
16 200446
17
Fluoride ingestion and its correlation with gastrointestinal discomfort
199240
18 200437
19 200236
20 200536

About Taposh Kumar Das

Taposh Kumar Das is a scholar working on Infectious Diseases, Epidemiology, Endocrinology, Pollution and Ecology, having authored 53 papers that have together received 2.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Mycobacterium research and diagnosis (8 papers), Bacteriophages and microbial interactions (6 papers), Fluoride Effects and Removal (4 papers), Bacterial Genetics and Biotechnology (3 papers), Heavy metals in environment (3 papers), Alzheimer's disease research and treatments (3 papers) and Aluminum toxicity and tolerance in plants and animals (3 papers). The work is most often cited by research in Infectious Diseases (592 citations), Molecular Medicine (110 citations), Epidemiology (485 citations), Molecular Biology (801 citations) and Biotechnology (72 citations). Taposh Kumar Das has collaborated with scholars based in India, United States and Bangladesh. Frequent co-authors include Jaya Sivaswami Tyagi, Yogendra Prakash Singh, Beena Pillai, Deepak Kumar Saini, Jameel Ahmad Khan, Souvik Maiti, Vandana Malhotra, Andezhath Kumaran Susheela, Amit Kumar Dinda and S. Banerjee. Their work appears in journals such as Journal of Glaucoma, Journal of Gastroenterology, Environmental Microbiology, Journal of Clinical Gastroenterology and Plant Physiology and Biochemistry.

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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