Mayank Garg
Impact in
- Analytical Chemistry top 10%
- Analytical chemistry methods development
Papers in
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- Advanced biosensing and bioanalysis techniques 10
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- Biosensors and Analytical Detection 4
- Medical Imaging and Analysis 3
- Co-authors
- Suman Singh (14 shared papers)Amit L. Sharma (8 shared papers)Nicole Pamme (3 shared papers)Mary Chatterjee (2 shared papers)Priyanka Garg (1 shared paper)Akash Deep (1 shared paper)Anupma Thakur (2 shared papers)Boris Mizaikoff (3 shared papers)
- Journals
- World Neurosurgery (3 papers)TrAC Trends in Analytical Chemistry (3 papers)ACS Applied Materials & Interfaces (2 papers)Biosensors and Bioelectronics (2 papers)Biotechnology Reports (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Mayank Garg
49 papers receiving 656 citations
Peers
Comparison fields: 5 of 115
- Analytical Chemistry 62
- Electrochemistry 38
- Biomedical Engineering 242
- Pollution 52
- Bioengineering 23
Countries citing papers authored by Mayank Garg
This map shows the geographic impact of Mayank Garg'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 Mayank Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayank Garg more than expected).
Fields of papers citing papers by Mayank Garg
This network shows the impact of papers produced by Mayank Garg. 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 Mayank Garg. The network helps show where Mayank Garg may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayank Garg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 63 | |
| 2 | 2023 | 59 | |
| 3 | 2018 | 59 | |
| 4 | 2020 | 38 | |
| 5 | 2019 | 37 | |
| 6 | 2021 | 31 | |
| 7 | 2024 | 31 | |
| 8 | 2020 | 30 | |
| 9 | 2013 | 26 | |
| 10 | 2017 | 26 | |
| 11 | 2021 | 25 | |
| 12 | 2020 | 24 | |
| 13 | 2009 | 23 | |
| 14 | 2021 | 21 | |
| 15 | 2022 | 15 | |
| 16 | 2019 | 15 | |
| 17 | 2023 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2018 | 14 | |
| 20 | 2023 | 11 |
About Mayank Garg
Mayank Garg is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Electrical and Electronic Engineering and Surgery, having authored 55 papers that have together received 672 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (10 papers), Electrochemical sensors and biosensors (5 papers), Biosensors and Analytical Detection (4 papers), MXene and MAX Phase Materials (4 papers), Advanced Nanomaterials in Catalysis (4 papers), Spinal Fractures and Fixation Techniques (4 papers), 2D Materials and Applications (3 papers) and Medical Imaging and Analysis (3 papers). The work is most often cited by research in Analytical Chemistry (62 citations), Electrochemistry (38 citations), Biomedical Engineering (242 citations), Pollution (52 citations) and Bioengineering (23 citations). Mayank Garg has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Suman Singh, Amit L. Sharma, Nicole Pamme, Mary Chatterjee, Priyanka Garg, Akash Deep, Anupma Thakur, Boris Mizaikoff, Md. Saifur Rahman and Nishant Kumar. Their work appears in journals such as World Neurosurgery, TrAC Trends in Analytical Chemistry, ACS Applied Materials & Interfaces, Biosensors and Bioelectronics and Biotechnology Reports.
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.