Neha Chopra

18 papers and 189 indexed citations i.

About

Neha Chopra is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Neha Chopra has authored 18 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Neha Chopra’s work include COVID-19 and healthcare impacts (3 papers), PARP inhibition in cancer therapy (3 papers) and Spine and Intervertebral Disc Pathology (3 papers). Neha Chopra is often cited by papers focused on COVID-19 and healthcare impacts (3 papers), PARP inhibition in cancer therapy (3 papers) and Spine and Intervertebral Disc Pathology (3 papers). Neha Chopra collaborates with scholars based in United Kingdom, India and Australia. Neha Chopra's co-authors include Saima Wajid, Sangeeta Choudhury, Poonam Yadav, Abhirup Das, Namrata G. Jain, Kaitao Lai, Ashish D. Diwan, Zhaomin Zheng, Surinder P. Singh and Paul Nathan and has published in prestigious journals such as Annals of Oncology, European Spine Journal and Cancers.

In The Last Decade

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

Fields of papers citing papers by Neha Chopra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Neha Chopra

Since Specialization
Citations

This map shows the geographic impact of Neha Chopra'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 Chopra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Chopra 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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2025