Jason Lukas

553 citations
9 papers · 454 indexed · h-index 8
Topics
Cancer Research and Treatments (3 papers)Immunotherapy and Immune Responses (2 papers)HER2/EGFR in Cancer Research (2 papers)
Partner nations
United States

In The Last Decade

Jason Lukas

9 papers receiving 447 citations

Peers

Jason Lukas
Comparison fields: 5 of 51
  • Molecular Biology 229
  • Oncology 213
  • Physiology 139
  • Immunology 135
  • Cancer Research 64
Replace Crystal A. Tonnessen-Murray with:
Crystal A. Tonnessen-Murray United States
Hugh Gannon United States
Öonagh Loughran United Kingdom
Teerawit Supakorndej United States
Sabrina Germoni Italy
Amanda Guffei Canada
S Gallinger Canada
Richard D. Paucek United States
Melanie Dujka United States
Margrét Steinarsdóttir Iceland
Jason Lukas relative to Crystal A. Tonnessen-Murray United States Crystal A. Tonnessen-Murray's profile →
Citations per field
00.5×1.5×2.5×
Crystal A. Tonnessen-Murray · 1×
Citations per year

Countries citing papers authored by Jason Lukas

Since Specialization
Citations

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

Fields of papers citing papers by Jason Lukas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Lukas

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 34
2 16
3 136
4 99
5
In vitro organotypic co-culture model for the study of bronchial epithelial clonal outgrowth during multistep lung tumorigenesis.
1
6 9
7 39
8
WAF1/Cip1 gene polymorphism and expression in carcinomas of the breast, ovary, and endometrium.
74
9
Telomerase activity in normal and neoplastic breast.
46

About Jason Lukas

Jason Lukas is a scholar working on Biotechnology, Oncology and Immunology, having authored 9 papers that have together received 454 indexed citations. Recurring topics across this work include Cancer Research and Treatments (3 papers), Immunotherapy and Immune Responses (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Oncology (213 citations), Aging (13 citations) and Immunology (135 citations). Jason Lukas has collaborated with scholars based in United States. Frequent co-authors include Imke Listerman, Michael F. Press, Francesca S. Gazzaniga, Elizabeth H. Blackburn, Ning Niu, Yushe Dang, Keith L. Knutson, Bond Almand, Mary L. Disis and Ekram Gad. Their work appears in journals such as The Journal of Immunology, Cancer Research and American Journal Of Pathology.

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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