Neha Bhardwaj

115 total papers · 5.6k total citations
90 papers, 4.3k citations indexed

About

Neha Bhardwaj is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Neha Bhardwaj has authored 90 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 24 papers in Biomedical Engineering and 23 papers in Materials Chemistry. Recurrent topics in Neha Bhardwaj's work include Advanced biosensing and bioanalysis techniques (28 papers), Biosensors and Analytical Detection (13 papers) and Metal-Organic Frameworks: Synthesis and Applications (12 papers). Neha Bhardwaj is often cited by papers focused on Advanced biosensing and bioanalysis techniques (28 papers), Biosensors and Analytical Detection (13 papers) and Metal-Organic Frameworks: Synthesis and Applications (12 papers). Neha Bhardwaj collaborates with scholars based in India, South Korea and United States. Neha Bhardwaj's co-authors include Sanjeev K. Bhardwaj, Ki‐Hyun Kim, Akash Deep, Jyotsana Mehta, Madhu Khatri, Harpreet Singh, Shailendra Kumar Arya, Amit L. Sharma, Ashok N. Bhaskarwar and Harpreet Singh and has published in prestigious journals such as Biomaterials, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Neha Bhardwaj

87 papers receiving 4.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Neha Bhardwaj 1.5k 1.5k 1.3k 848 830 90 4.3k
Ting Yang 1.5k 1.0× 2.2k 1.5× 1.3k 1.0× 781 0.9× 464 0.6× 196 5.1k
Shuo Wang 1.5k 1.0× 2.3k 1.6× 1.3k 1.0× 803 0.9× 547 0.7× 199 4.6k
He‐Fang Wang 1.4k 0.9× 2.4k 1.6× 1.3k 1.0× 861 1.0× 873 1.1× 59 4.7k
Vanish Kumar 832 0.6× 2.7k 1.8× 1.6k 1.2× 1.3k 1.5× 756 0.9× 106 5.9k
Shanshan Wang 1.5k 1.0× 1.0k 0.7× 971 0.7× 565 0.7× 360 0.4× 182 4.2k
Thomas J. Smith 1.6k 1.0× 819 0.6× 1.2k 0.9× 340 0.4× 642 0.8× 154 5.6k
Hailong Peng 1.0k 0.7× 1.8k 1.2× 1.2k 0.9× 748 0.9× 353 0.4× 173 5.8k
Peilong Wang 939 0.6× 813 0.5× 835 0.6× 447 0.5× 556 0.7× 147 3.4k
Stefan H. Bossmann 2.1k 1.4× 2.0k 1.4× 1.3k 1.0× 828 1.0× 305 0.4× 194 7.2k
Juan Yang 818 0.5× 952 0.6× 538 0.4× 1.0k 1.2× 548 0.7× 155 3.8k

Countries citing papers authored by Neha Bhardwaj

Since Specialization
Citations

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

Fields of papers citing papers by Neha Bhardwaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Bhardwaj

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Bhardwaj. A scholar is included among the top collaborators of Neha Bhardwaj based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neha Bhardwaj. Neha Bhardwaj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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