Chaitali Singhal

30 papers receiving 954 citations

Peers

Chaitali Singhal
Comparison fields: 5 of 83
  • Electrochemistry 131
  • Biomedical Engineering 561
  • Bioengineering 71
  • Infectious Diseases 176
  • Molecular Biology 593
Replace Jahwarhar Izuan Abdul Rashid with:
Jahwarhar Izuan Abdul Rashid Malaysia
Ana R. Cardoso Portugal
Guillaume Anquetin France
Suryasnata Tripathy India
Rohit Chand South Korea
Nitesh Malhotra India
Paulo de Tarso Garcia Brazil
Chae Hwan Cho South Korea
Thiago M. G. Cardoso Brazil
Reza Hajian Malaysia
Chaitali Singhal relative to Jahwarhar Izuan Abdul Rashid Malaysia Jahwarhar Izuan Abdul Rashid's profile →
Citations per field
00.5×4.1×
Jahwarhar Izuan Abdul Rashid · 1×
Citations per year

Countries citing papers authored by Chaitali Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Chaitali Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017117
2 2018115
3 2016103
4 201980
5 201865
6 201853
7 202045
8 201642
9 201737
10 201736
11 201734
12 201631
13 201730
14 201624
15 201624
16 201620
17 201819
18 202117
19 201615
20 202412

About Chaitali Singhal

Chaitali Singhal is a scholar working on Biomedical Engineering, Molecular Biology, Electrical and Electronic Engineering, Electrochemistry and Infectious Diseases, having authored 32 papers that have together received 969 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (14 papers), Advanced biosensing and bioanalysis techniques (12 papers), Electrochemical sensors and biosensors (10 papers), Electrochemical Analysis and Applications (6 papers), Conducting polymers and applications (4 papers), Mosquito-borne diseases and control (4 papers), Advanced Chemical Sensor Technologies (4 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Electrochemistry (131 citations), Biomedical Engineering (561 citations), Bioengineering (71 citations), Infectious Diseases (176 citations) and Molecular Biology (593 citations). Chaitali Singhal has collaborated with scholars based in India, United Arab Emirates and United Kingdom. Frequent co-authors include Jagriti Narang, C.S. Pundir, Ashish Mathur, Nitesh Malhotra, Manika Khanuja, Nahid Chaudhary, Dhritiman Chakraborty, Shikha Wadhwa, Chandra Shekhar Pundir and Anukriti Singh. Their work appears in journals such as Materials Science and Engineering C, Biosensors and Bioelectronics, International Journal of Biological Macromolecules, Bioprocess and Biosystems Engineering and Artificial Cells Nanomedicine and Biotechnology.

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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