Arpita Singhal

12 total papers · 425 total citations
5 papers, 212 citations indexed

About

Arpita Singhal is a scholar working on Infectious Diseases, Neurology and Epidemiology. According to data from OpenAlex, Arpita Singhal has authored 5 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Infectious Diseases, 2 papers in Neurology and 2 papers in Epidemiology. Recurrent topics in Arpita Singhal’s work include Sarcoidosis and Beryllium Toxicity Research (1 paper), Clostridium difficile and Clostridium perfringens research (1 paper) and Long-Term Effects of COVID-19 (1 paper). Arpita Singhal is often cited by papers focused on Sarcoidosis and Beryllium Toxicity Research (1 paper), Clostridium difficile and Clostridium perfringens research (1 paper) and Long-Term Effects of COVID-19 (1 paper). Arpita Singhal collaborates with scholars based in India, United States and Germany. Arpita Singhal's co-authors include John Roder, Louis M. Weiner, Baruch Shpitz, Cynthia A. Chambers, Chaim M. Roifman, J. Fernandes, Steven Gallinger, Mark Stettner, Ulf Dittmer and Michael Heming and has published in prestigious journals such as Immunity, Journal of Immunological Methods and PubMed.

Co-authorship network of co-authors of Arpita Singhal

This figure shows the co-authorship network connecting the top 25 collaborators of Arpita Singhal. A scholar is included among the top collaborators of Arpita Singhal 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 Arpita Singhal. Arpita Singhal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Arpita Singhal

5 papers receiving 206 citations

Fields of papers citing papers by Arpita Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Arpita Singhal

Since Specialization
Citations

This map shows the geographic impact of Arpita Singhal'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 Arpita Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arpita Singhal 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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2026