Aritraa Lahiri

11 total papers · 1.1k total citations
7 papers, 622 citations indexed

About

Aritraa Lahiri is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Aritraa Lahiri has authored 7 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Epidemiology and 3 papers in Immunology. Recurrent topics in Aritraa Lahiri's work include Influenza Virus Research Studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Immune Response and Inflammation (2 papers). Aritraa Lahiri is often cited by papers focused on Influenza Virus Research Studies (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Immune Response and Inflammation (2 papers). Aritraa Lahiri collaborates with scholars based in India, Canada and United States. Aritraa Lahiri's co-authors include Manash K. Paul, Bharti Bisht, Pravin D. Potdar, Navneet Singh, Anubhab Mukherjee, Purvish M. Parikh, Amirul Islam Mallick, Shayan Sharif, Anirban Kundu and Sudipta Bhattacharyya and has published in prestigious journals such as Angewandte Chemie International Edition, Molecular Cancer and Vaccine.

In The Last Decade

Aritraa Lahiri

7 papers receiving 617 citations

Hit Papers

Lung cancer immunotherapy... 2023 2026 2024 2023 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aritraa Lahiri 259 231 197 153 84 7 622
Agnieszka Swierczak 278 1.1× 181 0.8× 100 0.5× 299 2.0× 91 1.1× 11 654
Kaitlyn D. LaCourse 241 0.9× 405 1.8× 73 0.4× 73 0.5× 74 0.9× 10 682
Elizabeth M. Park 236 0.9× 392 1.7× 61 0.3× 102 0.7× 71 0.8× 12 683
Anders B. Dohlman 178 0.7× 356 1.5× 73 0.4× 76 0.5× 63 0.8× 13 632
James D. Loveless 197 0.8× 388 1.7× 66 0.3× 74 0.5× 75 0.9× 10 725
Pichet Adstamongkonkul 249 1.0× 260 1.1× 173 0.9× 176 1.2× 55 0.7× 8 779
Jorge Luis Galeano Niño 205 0.8× 337 1.5× 56 0.3× 82 0.5× 71 0.8× 8 557
Lai Xue 211 0.8× 273 1.2× 55 0.3× 84 0.5× 62 0.7× 13 565
Emanuela Massi 175 0.7× 342 1.5× 50 0.3× 213 1.4× 90 1.1× 8 672
Huiru Bai 259 1.0× 404 1.7× 86 0.4× 66 0.4× 82 1.0× 7 678

Countries citing papers authored by Aritraa Lahiri

Since Specialization
Citations

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

Fields of papers citing papers by Aritraa Lahiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aritraa Lahiri

This figure shows the co-authorship network connecting the top 25 collaborators of Aritraa Lahiri. A scholar is included among the top collaborators of Aritraa Lahiri 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 Aritraa Lahiri. Aritraa Lahiri 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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