Ayushi Singhal

749 citations
17 papers · 533 · h-index 11

Impact in

Papers in

Ayushi Singhal

16 papers receiving 521 citations

Peers

Ayushi Singhal
Comparison fields: 5 of 77
  • Infectious Diseases 157
  • Biomedical Engineering 300
  • Electrochemistry 33
  • Analytical Chemistry 44
  • Molecular Biology 272
Replace Neeraj Kumar with:
Neeraj Kumar India
Shariq Suleman India
Leila Samandari Iran
Longfei Cai China
Raimonda Bogužaitė Lithuania
Wisarut Khamcharoen Thailand
Nitesh Malhotra India
Kapil Sadani India
Iwona Grabowska Poland
Ayushi Singhal relative to Neeraj Kumar India Neeraj Kumar's profile →
Citations per field
00.5×1.5×
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 24 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

17 of 17 papers shown
#Work
1 2021138
2 2022104
3 202151
4 202142
5 202340
6 202237
7 202131
8 202226
9 202216
10 202315
11 202113
12 20235
13 20245
14 19905
15 20224
16
Serum Heart Type Fatty Acid Binding Protein Levels in Prediabetes-An Invaluable Cardiovascular Biomarker.
20201
17
Serum Retinol Binding Protein-4 Levels in Prediabetics - Novel Biomarker of Insulin Resistance and Atherosclerosis.
20210

About Ayushi Singhal

Ayushi Singhal is a scholar working on Molecular Biology, Biomedical Engineering, Infectious Diseases, Cardiology and Cardiovascular Medicine and Electrical and Electronic Engineering, having authored 17 papers that have together received 533 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (10 papers), Biosensors and Analytical Detection (5 papers), SARS-CoV-2 detection and testing (5 papers), Electrochemical sensors and biosensors (2 papers), Analytical chemistry methods development (2 papers), Electrochemical Analysis and Applications (2 papers), MXene and MAX Phase Materials (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Infectious Diseases (157 citations), Biomedical Engineering (300 citations), Electrochemistry (33 citations), Analytical Chemistry (44 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, Arpana Parihar, Pushpesh Ranjan, Mohd. Abubakar Sadique, Mohd. Akram Khan, Parul Goyal and N. Sathish. Their work appears in journals such as Materials Letters, Journal of Materials Chemistry B, Biosensors and Bioelectronics X, Physical Chemistry Chemical Physics and ACS Applied Bio Materials.

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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