Ayushi Singhal

802 citations
22 papers · 578 · h-index 11

Impact in

Papers in

Ayushi Singhal

19 papers receiving 565 citations

Peers

Ayushi Singhal
Comparison fields: 5 of 80
  • Infectious Diseases 158
  • Biomedical Engineering 298
  • Electrochemistry 33
  • Analytical Chemistry 46
  • Molecular Biology 272
Replace Neeraj Kumar with:
Neeraj Kumar India
Shariq Suleman India
Longfei Cai China
Iwona Grabowska Poland
Xuefang Gu China
Kapil Sadani India
Shau‐Chun Wang Taiwan
Pooja Nag India
Waleed A. Hassanain Australia
Pravin Pokhrel United States
Ayushi Singhal relative to Neeraj Kumar India Neeraj Kumar's profile →
Citations per field
00.5×1.6×
Neeraj Kumar · 1×
Citations per year

Countries citing papers authored by Ayushi Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Ayushi Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021142
2 2022111
3 202151
4 202344
5 202143
6 202243
7 202133
8 202229
9 202318
10 202217
11 202113
12 201410
13 20245
14 19905
15 20235
16 20224
17 20222
18
Toddler diets in the UK: deficiencies and imbalances.
20071
19
Serum Heart Type Fatty Acid Binding Protein Levels in Prediabetes-An Invaluable Cardiovascular Biomarker.
20201
20 20141

About Ayushi Singhal

Ayushi Singhal is a scholar working on Molecular Biology, Biomedical Engineering, Infectious Diseases, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 22 papers that have together received 578 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (10 papers), SARS-CoV-2 detection and testing (5 papers), Biosensors and Analytical Detection (5 papers), Mobile Ad Hoc Networks (3 papers), Electrochemical Analysis and Applications (2 papers), Cooperative Communication and Network Coding (2 papers), Analytical chemistry methods development (2 papers) and MXene and MAX Phase Materials (2 papers). The work is most often cited by research in Infectious Diseases (158 citations), Biomedical Engineering (298 citations), Electrochemistry (33 citations), Analytical Chemistry (46 citations) and Molecular Biology (272 citations). Ayushi Singhal has collaborated with scholars based in India and United States. Frequent co-authors include Raju Khan, Neeraj Kumar, Avanish Kumar Srivastava, Shalu Yadav, Pushpesh Ranjan, Arpana Parihar, Mohd. Abubakar Sadique, Mohd. Akram Khan, Parul Goyal and Ajeet Kaushik. Their work appears in journals such as Materials Letters, Journal of environmental chemical engineering, Bioengineering & Translational Medicine, Physical Chemistry Chemical Physics and Nano-Micro Letters.

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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