Jason Perera

1.4k citations
10 papers · 235 · h-index 6

Impact in

    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Cancer Genomics and Diagnostics

Papers in

    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 3
    • RNA and protein synthesis mechanisms 1

Jason Perera

9 papers receiving 233 citations

Peers

Jason Perera
Comparison fields: 5 of 43
  • Immunology 155
  • Cancer Research 34
  • Endocrinology, Diabetes and Metabolism 27
  • Transplantation 4
  • Oncology 37
Replace Alessandra Venanzi with:
Alessandra Venanzi Italy
Daniel Álvarez‐Sierra Spain
Xiaoni Gao United States
Justine Galluso France
Santina Venuto Italy
Minna Turkkila Sweden
Frederick H. Allen United States
Simone Dertschnig United Kingdom
Rochelle M. Hinman United States
S. Keith Anderson United States
Jason Perera relative to Alessandra Venanzi Italy Alessandra Venanzi's profile →
Citations per field
00.5×2.9×
Alessandra Venanzi · 1×
Citations per year

Countries citing papers authored by Jason Perera

Since Specialization
Citations

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

Fields of papers citing papers by Jason Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jason Perera, 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 Jason Perera Line = papers co-authored together Jason Perera links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201387
2 201638
3 202137
4 201534
5 201320
6 202411
7 20134
8 20213
9 20131
10 20250

About Jason Perera

Jason Perera is a scholar working on Immunology, Molecular Biology, Genetics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 235 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer Genomics and Diagnostics (1 paper), Genetic factors in colorectal cancer (1 paper), RNA and protein synthesis mechanisms (1 paper) and Nanowire Synthesis and Applications (1 paper). The work is most often cited by research in Immunology (155 citations), Cancer Research (34 citations), Endocrinology, Diabetes and Metabolism (27 citations), Transplantation (4 citations) and Oncology (37 citations). Jason Perera has collaborated with scholars based in United States and Israel. Frequent co-authors include Haochu Huang, Liping Meng, Fanyong Meng, Rebecca A. Shilling, Jesse W. Williams, Herman Gudjonson, Jennifer I. C. Benichou, Zhong Zheng, Katharine E. Block and Dengping Yin. Their work appears in journals such as Cell Reports, Briefings in Bioinformatics, npj Precision Oncology, Cellular and Molecular Life Sciences and American Journal of Respiratory Cell and Molecular Biology.

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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