Kshama Parate

676 citations
10 papers · 529 indexed · h-index 7

Impact in

Papers in

    • Biosensors and Analytical Detection 5
    • Microfluidic and Bio-sensing Technologies 2
    • Microfluidic and Capillary Electrophoresis Applications 1
    • SARS-CoV-2 detection and testing 2

Kshama Parate

10 papers receiving 514 citations

Peers

Kshama Parate
Comparison fields: 5 of 73
  • Bioengineering 69
  • Electrochemistry 60
  • Biomedical Engineering 348
  • Electrical and Electronic Engineering 224
  • Molecular Biology 233
Replace Habdias A. Silva‐Neto with:
Habdias A. Silva‐Neto Brazil
Manish Bhaiyya India
Alireza Sanati Iran
Ariadna Schuck South Korea
Lucas C. Duarte Brazil
Gustavo Martins Brazil
Letícia F. Mendes Brazil
Prasant Kumar Pattnaik India
Suzanne Smith South Africa
Ewen O. Blair United Kingdom
Kshama Parate relative to Habdias A. Silva‐Neto Brazil Habdias A. Silva‐Neto's profile →
Citations per field
00.5×8.3×
Habdias A. Silva‐Neto · 1×
Citations per year

Countries citing papers authored by Kshama Parate

Since Specialization
Citations

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

Fields of papers citing papers by Kshama Parate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 20242
2 202236
3 202073
4 2020109
5 2020200
6 20192
7 201937
8 201845
9 20172
10 201423

About Kshama Parate

Kshama Parate is a scholar working on Biomedical Engineering, Infectious Diseases, Animal Science and Zoology, Molecular Biology and Electrical and Electronic Engineering, having authored 10 papers that have together received 529 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Electrochemical sensors and biosensors (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), SARS-CoV-2 detection and testing (2 papers), Microfluidic and Capillary Electrophoresis Applications (1 paper), Pharmacological Effects and Assays (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Bioengineering (69 citations), Electrochemistry (60 citations), Biomedical Engineering (348 citations), Electrical and Electronic Engineering (224 citations) and Molecular Biology (233 citations). Kshama Parate has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Jonathan C. Claussen, Carmen L. Gomes, Cícero C. Pola, Mark C. Hersam, Sonal V. Rangnekar, Eric S. McLamore, Robert G. Hjort, Efraim Lázaro Reis, Nilda de Fátima Ferreira Soares and Raquel R. A. Soares. Their work appears in journals such as 2D Materials, Sensors and Actuators B Chemical, Microfluidics and Nanofluidics, Biosensors and Bioelectronics and ACS Sensors.

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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