Neha Aggarwal

115 total papers · 1.5k total citations
71 papers, 1.2k citations indexed

About

Neha Aggarwal is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Neha Aggarwal has authored 71 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atomic and Molecular Physics, and Optics, 12 papers in Molecular Biology and 10 papers in Artificial Intelligence. Recurrent topics in Neha Aggarwal's work include Mechanical and Optical Resonators (12 papers), Chemical and Physical Properties in Aqueous Solutions (9 papers) and Thermodynamic properties of mixtures (9 papers). Neha Aggarwal is often cited by papers focused on Mechanical and Optical Resonators (12 papers), Chemical and Physical Properties in Aqueous Solutions (9 papers) and Thermodynamic properties of mixtures (9 papers). Neha Aggarwal collaborates with scholars based in India, United States and Germany. Neha Aggarwal's co-authors include Bonnie F. Sloane, Thomas Groth, Tarlok S. Banipal, Parampaul K. Banipal, Goerg H. Michler, Khashayar Razghandi, Sofia Svedhem, Kai Zhang, Aranya B. Bhattacherjee and Mansoureh Sameni and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Neha Aggarwal

67 papers receiving 1.2k 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 Aggarwal 288 268 265 191 135 71 1.2k
Trine Christensen 287 1.0× 629 2.3× 158 0.6× 121 0.6× 208 1.5× 36 1.4k
Qingqing Yin 283 1.0× 525 2.0× 646 2.4× 135 0.7× 41 0.3× 63 1.4k
Eligio Patrone 61 0.2× 729 2.7× 70 0.3× 76 0.4× 92 0.7× 55 1.1k
Shigeru Sasakawa 73 0.3× 327 1.2× 121 0.5× 31 0.2× 96 0.7× 87 1.0k
Kazuhiro Fukada 39 0.1× 254 0.9× 87 0.3× 31 0.2× 270 2.0× 75 1.1k
Kenji Sasahara 124 0.4× 914 3.4× 48 0.2× 40 0.2× 75 0.6× 46 1.3k
Xiaorui Li 169 0.6× 475 1.8× 87 0.3× 129 0.7× 177 1.3× 75 1.2k
Marina J. Gorbunoff 102 0.4× 779 2.9× 207 0.8× 116 0.6× 197 1.5× 30 1.4k
Shufeng Sun 46 0.2× 473 1.8× 67 0.3× 20 0.1× 132 1.0× 48 1.1k
Janice Rodrigues Perussi 63 0.2× 318 1.2× 589 2.2× 43 0.2× 123 0.9× 65 1.2k

Countries citing papers authored by Neha Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Neha Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Aggarwal. A scholar is included among the top collaborators of Neha Aggarwal 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 Aggarwal. Neha Aggarwal 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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2026