Anannya Bhattacharya

958 citations
8 papers · 475 indexed · 1 hit paper · h-index 7

Anannya Bhattacharya

8 papers receiving 473 citations

Hit Papers

DDX3X acts as a live-or-die checkpoint in stressed cells ...3122019202620212023100200300

Peers

Anannya Bhattacharya
Comparison fields: 5 of 71
  • Immunology 195
  • Molecular Biology 324
  • Nephrology 30
  • Biological Psychiatry 8
  • Infectious Diseases 38
Replace Apurva Kanneganti with:
Apurva Kanneganti United States
Wojciech Cypryk Finland
Xibao Zhao China
Elizabeth L. Orth-He United States
Inbar Shlomovitz Israel
Sara J Thygesen Australia
Tomasz Próchnicki Germany
Daniel J. Fernandez United States
Diego Martínez Argentina
Thomas W. Dennison United Kingdom
Anannya Bhattacharya relative to Apurva Kanneganti United States Apurva Kanneganti's profile →
Citations per field
00.5×1.7×
Apurva Kanneganti · 1×
Citations per year

Countries citing papers authored by Anannya Bhattacharya

Since Specialization
Citations

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

Fields of papers citing papers by Anannya Bhattacharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Anannya Bhattacharya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anannya Bhattacharya Line = papers co-authored together Anannya Bhattacharya links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 202411
2 20222
3 202051
4 202016
5
DDX3X acts as a live-or-die checkpoint in stressed cells by regulating NLRP3 inflammasomebreakdown →
2019312
6 201858
7 201715
8 201710

About Anannya Bhattacharya

Anannya Bhattacharya is a scholar working on Immunology, Parasitology and Infectious Diseases, having authored 8 papers that have together received 475 indexed citations. Recurring topics across this work include interferon and immune responses (2 papers), Immune Cell Function and Interaction (2 papers), Cancer Cells and Metastasis (1 paper), Inflammation biomarkers and pathways (1 paper), Herpesvirus Infections and Treatments (1 paper), Virology and Viral Diseases (1 paper), Viral Infections and Vectors (1 paper) and Viral Infections and Outbreaks Research (1 paper). The work is most often cited by research in Immunology (195 citations), Molecular Biology (324 citations) and Nephrology (30 citations). Anannya Bhattacharya has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include David E. Place, Rajendra Karki, Thirumala‐Devi Kanneganti, Benoit Briard, R. K. Subbarao Malireddi, Parimal Samir, Clifford S. Guy, Bhesh Raj Sharma, Deanna M. Patmore and Sébastien Gingras. Their work appears in journals such as Nature, Scientific Reports and PLoS Pathogens.

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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