Megha Uppin

26 papers and 195 indexed citations i.

About

Megha Uppin is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, Megha Uppin has authored 26 papers receiving a total of 195 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Epidemiology and 6 papers in Neurology. Recurrent topics in Megha Uppin’s work include Mitochondrial Function and Pathology (5 papers), Inflammatory Myopathies and Dermatomyositis (4 papers) and ATP Synthase and ATPases Research (4 papers). Megha Uppin is often cited by papers focused on Mitochondrial Function and Pathology (5 papers), Inflammatory Myopathies and Dermatomyositis (4 papers) and ATP Synthase and ATPases Research (4 papers). Megha Uppin collaborates with scholars based in India and United Kingdom. Megha Uppin's co-authors include Sundaram Challa, Somanath Padhi, Kumarasamy Thangaraj, Saumya Jakati, Liza Rajasekhar, Vijay Laxmi, Umabala Pamidimukkala, Shantveer G. Uppin, Aruna Prayaga and B Sahu and has published in prestigious journals such as Investigative Ophthalmology & Visual Science, Mitochondrion and Pediatric Neurosurgery.

In The Last Decade

Co-authorship network of co-authors of Megha Uppin i

Fields of papers citing papers by Megha Uppin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Megha Uppin

Since Specialization
Citations

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