Neha Uppal

13 papers and 721 indexed citations i.

About

Neha Uppal is a scholar working on Cognitive Neuroscience, Biomaterials and Social Psychology. According to data from OpenAlex, Neha Uppal has authored 13 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 3 papers in Biomaterials and 2 papers in Social Psychology. Recurrent topics in Neha Uppal’s work include Neural dynamics and brain function (4 papers), Functional Brain Connectivity Studies (3 papers) and Silk-based biomaterials and applications (3 papers). Neha Uppal is often cited by papers focused on Neural dynamics and brain function (4 papers), Functional Brain Connectivity Studies (3 papers) and Silk-based biomaterials and applications (3 papers). Neha Uppal collaborates with scholars based in United States, Germany and Switzerland. Neha Uppal's co-authors include Patrick R. Hof, David L. Kaplan, Shenzhou Lu, Xiaoqin Wang, Fiorenzo G. Omenetto, Qiang Lü, Micaela Santos, Camilla Butti, Christoph Schmitz and Bridget Wicinski and has published in prestigious journals such as Journal of Neurophysiology, Brain Research and Biomacromolecules.

In The Last Decade

Co-authorship network of co-authors of Neha Uppal i

Fields of papers citing papers by Neha Uppal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Neha Uppal

Since Specialization
Citations

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

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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