Lars Sternås

3.2k citations
56 papers · 1.7k · h-index 17

Impact in

  • Oncology top 5%
    • Viral-associated cancers and disorders
    • CAR-T cell therapy research
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Cancer Treatment and Pharmacology 14
    • Viral-associated cancers and disorders 8
    • CAR-T cell therapy research 4
    • Multiple Myeloma Research and Treatments 29

Lars Sternås

55 papers receiving 1.6k citations

Peers

Lars Sternås
Comparison fields: 5 of 73
  • Oncology 790
  • Immunology 500
  • Hematology 260
  • Pathology and Forensic Medicine 274
  • Reproductive Medicine 100
Replace Michelle Francesco with:
Michelle Francesco United States
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Carla J. de Boer Netherlands
Yoichi Shibata Japan
Masahito Kawazu Japan
Henrik Griesser Germany
Robert Coupland Canada
Volker L. Reichardt Germany
Joan Somja Belgium
María Gomes da Silva Portugal
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Citations per field
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Citations per year

Countries citing papers authored by Lars Sternås

Since Specialization
Citations

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

Fields of papers citing papers by Lars Sternås

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999480
2 2009198
3 1990122
4 1990100
5 198499
6 201175
7 201069
8 199055
9 198546
10 201344
11 201536
12 200735
13 201228
14 201926
15 200822
16 200522
17 201621
18 199216
19 201415
20 200415

About Lars Sternås

Lars Sternås is a scholar working on Oncology, Hematology, Molecular Biology, Immunology and Infectious Diseases, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (29 papers), Protein Degradation and Inhibitors (15 papers), Cancer Treatment and Pharmacology (14 papers), Viral-associated cancers and disorders (8 papers), T-cell and B-cell Immunology (4 papers), T-cell and Retrovirus Studies (4 papers), CAR-T cell therapy research (4 papers) and Histone Deacetylase Inhibitors Research (4 papers). The work is most often cited by research in Oncology (790 citations), Immunology (500 citations), Hematology (260 citations), Pathology and Forensic Medicine (274 citations) and Reproductive Medicine (100 citations). Lars Sternås has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include F Grignani, Riccardo Dalla‐Favera, Larry W. Kwak, Dan L. Longo, Floyd A. Benko, Stephen P. Creekmore, Craig W. Reynolds, Thelma M. Watson, Carol B. Kobrin and Robin Pennington. Their work appears in journals such as Journal of Clinical Oncology, Blood, Haematologica, Journal of Virology and Journal of Immunological Methods.

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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