Jay Singh

237 papers receiving 6.3k citations

Jay Singh's Hit Papers

Internet of things (IoT) in nano-integrated wearable biosensor devices for healthcare applications 2022 · 189 citations
1890+1+2Years since publication100200300

Peers

Jay Singh
Comparison fields: 5 of 174
  • Electrochemistry 451
  • Biomaterials 934
  • Molecular Medicine 256
  • Bioengineering 289
  • Materials Chemistry 2.0k
Replace Neeraj Dilbaghi with:
Neeraj Dilbaghi India
Sundaram Gunasekaran United States
Tingting Zhang China
Alireza Abbaspourrad United States
Maged El‐Kemary Egypt
Hongyan He China
Seong‐Cheol Kim South Korea
Anjanapura V. Raghu India
Pranab Goswami India
Yao Li China
Jay Singh relative to Neeraj Dilbaghi India Neeraj Dilbaghi's profile →
Citations per field
00.5×1.5×
Neeraj Dilbaghi · 1×
Citations per year

Countries citing papers authored by Jay Singh

Since Specialization
Citations

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

Fields of papers citing papers by Jay Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 255 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012322
2
Plant-soil-microbes: A tripartite interaction for nutrient acquisition and better plant growth for sustainable agricultural practices
Hit paper breakdown →
2022310
3 2016261
4 2014238
5 2017206
6
Internet of things (IoT) in nano-integrated wearable biosensor devices for healthcare applications
Hit paper breakdown →
2022189
7 2015174
8 2021137
9 2022130
10 2008119
11 2013119
12 2011114
13 2012103
14 201593
15 201590
16 201483
17 201283
18 202182
19 201582
20 201380

About Jay Singh

Jay Singh is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Molecular Biology, Biomedical Engineering and Electrochemistry, having authored 255 papers that have together received 6.4k indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (52 papers), Advanced biosensing and bioanalysis techniques (45 papers), Electrochemical Analysis and Applications (31 papers), Nanoparticles: synthesis and applications (22 papers), Advanced Nanomaterials in Catalysis (22 papers), Biosensors and Analytical Detection (21 papers), Graphene and Nanomaterials Applications (20 papers) and Conducting polymers and applications (18 papers). The work is most often cited by research in Electrochemistry (451 citations), Biomaterials (934 citations), Molecular Medicine (256 citations), Bioengineering (289 citations) and Materials Chemistry (2.0k citations). Jay Singh has collaborated with scholars based in India, South Korea and Japan. Frequent co-authors include Kshitij RB Singh, Bansi D. Malhotra, Ravindra Pratap Singh, Manish Srivastava, Ravi Prakash Tewari, Vishnu Agarwal, Pratima R. Solanki, Ranjana Verma, Vanya Nayak and Tinku Basu. Their work appears in journals such as Journal of Alloys and Compounds, New Journal of Chemistry, Materials Letters, International Journal of Biological Macromolecules and RSC Advances.

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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