Vinay Narwal

28 papers receiving 1.5k citations

Vinay Narwal's Hit Papers

The Prevalence of Polycystic Ovary Syndrome: A Brief Systematic Review 2020 · 405 citations
4050+2+4Years since publication100200300400

Peers

Vinay Narwal
Comparison fields: 5 of 124
  • Bioengineering 269
  • Reproductive Medicine 293
  • Electrochemistry 191
  • Electrical and Electronic Engineering 624
  • Molecular Biology 531
Replace Mekki Bayachou with:
Mekki Bayachou United States
Ritu Deswal India
Keya Chaudhuri India
Jianguo Hu China
Hiroaki Ohya Japan
Guangxia Yu China
Ganna Chornokur United States
Roxolyana Abdah‐Bortnyak Israel
Atsunori Hiratsuka Japan
Vinay Narwal relative to Mekki Bayachou United States Mekki Bayachou's profile →
Citations per field
00.5×8.2×
Mekki Bayachou · 1×
Citations per year

Countries citing papers authored by Vinay Narwal

Since Specialization
Citations

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

Fields of papers citing papers by Vinay Narwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Prevalence of Polycystic Ovary Syndrome: A Brief Systematic Review
Hit paper breakdown →
2020405
2 2018162
3 2016144
4 2018133
5 201891
6 201765
7 201859
8 201758
9 201851
10 202250
11 202143
12 202041
13 201637
14 201737
15 201826
16 201725
17 201822
18 202221
19 201720
20 202116

About Vinay Narwal

Vinay Narwal is a scholar working on Electrical and Electronic Engineering, Bioengineering, Molecular Biology, Biomedical Engineering and Electrochemistry, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (23 papers), Analytical Chemistry and Sensors (13 papers), Advanced biosensing and bioanalysis techniques (11 papers), Electrochemical Analysis and Applications (5 papers), Advanced Nanomaterials in Catalysis (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), ZnO doping and properties (2 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Bioengineering (269 citations), Reproductive Medicine (293 citations), Electrochemistry (191 citations), Electrical and Electronic Engineering (624 citations) and Molecular Biology (531 citations). Vinay Narwal has collaborated with scholars based in India and United States. Frequent co-authors include C.S. Pundir, Ritu Deswal, Amita Suneja Dang, Chandra Shekhar Pundir, Bhawna Batra, Minakshi Sharma, Vijay Kalra, Parveen Kumar, Suman Lata and Jogender Singh Rana. Their work appears in journals such as Biosensors and Bioelectronics, Process Biochemistry, Sensors International, International Journal of Biological Macromolecules and Enzyme and Microbial Technology.

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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