K.N. Niladevi

538 citations
7 papers · 400 · h-index 7

Impact in

    • Microbial Metabolism and Applications
    • Enzyme Production and Characterization
    • Biochemical and biochemical processes
    • Enzyme-mediated dye degradation

Papers in

    • Microbial Metabolism and Applications 5
    • Enzyme Production and Characterization 2
    • Enzyme-mediated dye degradation 5

K.N. Niladevi

7 papers receiving 368 citations

Peers

K.N. Niladevi
Comparison fields: 5 of 56
  • Biotechnology 229
  • Plant Science 256
  • Pharmacology 56
  • Analytical Chemistry 30
  • Applied Microbiology and Biotechnology 6
Replace Daniela Farani de Souza with:
Daniela Farani de Souza Brazil
Laura-Leena Kiiskinen Finland
Elizabeth A. Bodie United States
Tamilvendan Manavalan India
Shilpa Gupte India
Nicemol Jacob India
Iniya Kumar Muniraj India
Hardik Patel India
Aleksander Pavko Slovenia
V. P. Gavrilova Russia
K.N. Niladevi relative to Daniela Farani de Souza Brazil Daniela Farani de Souza's profile →
Citations per field
00.5×3.1×
Daniela Farani de Souza · 1×
Citations per year

Countries citing papers authored by K.N. Niladevi

Since Specialization
Citations

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

Fields of papers citing papers by K.N. Niladevi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.N. Niladevi. 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 K.N. Niladevi. The network helps show where K.N. Niladevi may publish in the future.

Co-authors

The 4 scholars most cited alongside K.N. Niladevi, 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 K.N. Niladevi Line = papers co-authored together K.N. Niladevi links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown

About K.N. Niladevi

K.N. Niladevi is a scholar working on Biotechnology, Plant Science, Biomedical Engineering, Molecular Biology and Pharmacology, having authored 7 papers that have together received 400 indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (5 papers), Microbial Metabolism and Applications (5 papers), Biofuel production and bioconversion (2 papers), Enzyme Production and Characterization (2 papers), Enzyme Catalysis and Immobilization (1 paper), Lignin and Wood Chemistry (1 paper), Analytical chemistry methods development (1 paper) and Fungal Biology and Applications (1 paper). The work is most often cited by research in Biotechnology (229 citations), Plant Science (256 citations), Pharmacology (56 citations), Analytical Chemistry (30 citations) and Applied Microbiology and Biotechnology (6 citations). K.N. Niladevi has collaborated with scholars based in India. Frequent co-authors include P. Prema, G.S. Anisha, Nicemol Jacob and Rajeev K. Sukumaran. Their work appears in journals such as Microbiological Research, Applied Biochemistry and Biotechnology, Bioresource Technology, World Journal of Microbiology and Biotechnology and Food 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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