M. Nisha

1.2k citations
8 papers · 819 · 1 hit paper · h-index 7

Impact in

Papers in

    • biodegradable polymer synthesis and properties 7
    • Enzyme Catalysis and Immobilization 4
    • Bacterial biofilms and quorum sensing 2
    • Microbial Metabolic Engineering and Bioproduction 1

M. Nisha

8 papers receiving 809 citations

M. Nisha's Hit Papers

Microbial and Enzymatic Degradation of Synthetic Plastics 2020 · 710 citations
7100+2+4Years since publication200400600

Peers

M. Nisha
Comparison fields: 5 of 70
  • Pollution 655
  • Industrial and Manufacturing Engineering 316
  • Biomaterials 459
  • Automotive Engineering 41
  • Biotechnology 22
Replace Dominik Danso with:
Dominik Danso Germany
Zahra Montazer Canada
Caroline Gamerith Austria
Adriano Carniel Brazil
Veronika Perz Austria
Pablo Pérez-García Germany
Susan Billig Germany
Ana Paço Portugal
Katrin Julia Greimel Austria
Youri Yang South Korea
M. Nisha relative to Dominik Danso Germany Dominik Danso's profile →
Citations per field
00.5×1.5×
Dominik Danso · 1×
Citations per year

Countries citing papers authored by M. Nisha

Since Specialization
Citations

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

Fields of papers citing papers by M. Nisha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside M. Nisha, 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 M. Nisha Line = papers co-authored together M. Nisha links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Microbial and Enzymatic Degradation of Synthetic Plastics
Hit paper breakdown →
2020710
2 202231
3 202319
4 201919
5 202016
6 201811
7 201910
8 20213

About M. Nisha

M. Nisha is a scholar working on Biomaterials, Molecular Biology, Pollution, Industrial and Manufacturing Engineering and Nutrition and Dietetics, having authored 8 papers that have together received 819 indexed citations. Recurring topics across this work include biodegradable polymer synthesis and properties (7 papers), Microplastics and Plastic Pollution (5 papers), Enzyme Catalysis and Immobilization (4 papers), Bacterial biofilms and quorum sensing (2 papers), Recycling and Waste Management Techniques (1 paper), Microbial Metabolites in Food Biotechnology (1 paper), Phytase and its Applications (1 paper) and Microbial Metabolic Engineering and Bioproduction (1 paper). The work is most often cited by research in Pollution (655 citations), Industrial and Manufacturing Engineering (316 citations), Biomaterials (459 citations), Automotive Engineering (41 citations) and Biotechnology (22 citations). M. Nisha has collaborated with scholars based in Canada, Germany and India. Frequent co-authors include David B. Levin, Parveen Sharma, Zahra Montazer, Nediljko Budiša, T. Satyanarayana, Ravinder Sidhu, Teresa de Kievit and Ann Karen C. Brassinga. Their work appears in journals such as Canadian Journal of Microbiology, Frontiers in Microbiology, Frontiers in Bioengineering and Biotechnology, Polymer Degradation and Stability and International Journal of Molecular Sciences.

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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