Silva Ljevar

506 citations
17 papers · 196 · h-index 7

Impact in

    • CAR-T cell therapy research
    • COVID-19 and healthcare impacts
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

Silva Ljevar

16 papers receiving 196 citations

Peers

Silva Ljevar
Comparison fields: 5 of 34
  • Oncology 117
  • Infectious Diseases 38
  • Immunology 29
  • Cancer Research 18
  • Pathology and Forensic Medicine 17
Replace Luca Tonella with:
Luca Tonella Italy
Emil Kumar United Kingdom
Thijs T. Wind Netherlands
Lauren B. Banks United States
Jee‐Soo Lee South Korea
Sandra S. Ring Switzerland
Jordi Abril‐Fornaguera Spain
Sara Gazaneo Italy
Adam Kornberg United States
Omar Abdihamid United States
Silva Ljevar relative to Luca Tonella Italy Luca Tonella's profile →
Citations per field
00.5×2.9×
Luca Tonella · 1×
Citations per year

Countries citing papers authored by Silva Ljevar

Since Specialization
Citations

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

Fields of papers citing papers by Silva Ljevar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202155
2 202239
3 202225
4 202221
5 202312
6 20249
7 20227
8 20236
9 20225
10 20244
11 20244
12 20233
13 20242
14 20232
15 20251
16 20221
17 20230

About Silva Ljevar

Silva Ljevar is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 196 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Soft tissue tumor case studies (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Prostate Cancer Treatment and Research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (117 citations), Infectious Diseases (38 citations), Immunology (29 citations), Cancer Research (18 citations) and Pathology and Forensic Medicine (17 citations). Silva Ljevar has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Paolo Corradini, Rosalba Miceli, Anna Guidetti, Cristiana Carniti, Martina Magni, Daniele Morelli, Paolo Verderio, Giovanni Apolone, Annalisa Chiappella and Giuseppe Ippolito. Their work appears in journals such as British Journal of Haematology, Journal of Clinical Oncology, Clinical Cancer Research, Blood Advances and European Journal of Cancer.

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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