Paurush Praveen

1.3k citations
11 papers · 862 indexed · 1 hit paper · h-index 8
Topics
CAR-T cell therapy research (3 papers)Bioinformatics and Genomic Networks (3 papers)Single-cell and spatial transcriptomics (2 papers)
Partner nations
GermanyItalyDenmark

In The Last Decade

Paurush Praveen

11 papers receiving 851 citations

Hit Papers

IRE1α Induces Thioredoxin-Interacting Protein to Activate...20122026201620212012200400600

Peers

Paurush Praveen
Comparison fields: 5 of 93
  • Molecular Biology 447
  • Cell Biology 397
  • Epidemiology 248
  • Surgery 178
  • Immunology 118
Replace Óscar Cano Pérez with:
Óscar Cano Pérez Spain
Akihito Nakajima Japan
Yasuhiro Tagawa Japan
Tom Houben Netherlands
Tim van Zutphen Netherlands
Audrey Sicard France
Alana G. Lerner United States
Adam Kim United States
Keling Chen China
Sentiljana Gumeni Greece
Paurush Praveen relative to Óscar Cano Pérez Spain Óscar Cano Pérez's profile →
Citations per field
00.5×1.5×
Óscar Cano Pérez · 1×
Citations per year

Countries citing papers authored by Paurush Praveen

Since Specialization
Citations

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

Fields of papers citing papers by Paurush Praveen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paurush Praveen

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 11
2 1
3 2
4 11
5 9
6 73
7 24
8 9
9 7
10
IRE1α Induces Thioredoxin-Interacting Protein to Activate the NLRP3 Inflammasome and Promote Programmed Cell Death under Irremediable ER Stressbreakdown →
696
11 19

About Paurush Praveen

Paurush Praveen is a scholar working on Toxicology, Biophysics and Oncology, having authored 11 papers that have together received 862 indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), Bioinformatics and Genomic Networks (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cell Biology (397 citations), Epidemiology (248 citations) and Molecular Biology (447 citations). Paurush Praveen has collaborated with scholars based in Germany, Italy and Denmark. Frequent co-authors include Paul Greengard, Nathaniel Heintz, Yoshimi Nakagawa, Alana G. Lerner, Bradley J. Backes, Qizhi Tang, Feroz R. Papa, Scott A. Oakes, Simon T. Hui and Vinh Nguyen. Their work appears in journals such as Bioinformatics, PLoS ONE and Cell Metabolism.

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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