Navid Sobhani

2.1k citations
58 papers · 1.3k · 1 hit paper · h-index 21

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cancer-related Molecular Pathways
    • Cancer Genomics and Diagnostics

Papers in

Navid Sobhani

56 papers receiving 1.3k citations

Hit Papers

The next-generation DNA vaccine platforms and delivery systems: advances, challenges and prospects 2024 · 69 citations
690+1Years since publication204060

Peers

Navid Sobhani
Comparison fields: 5 of 100
  • Oncology 607
  • Cancer Research 249
  • Immunology 294
  • Pulmonary and Respiratory Medicine 416
  • Molecular Biology 556
Replace Maria J. de Miguel with:
Maria J. de Miguel Spain
Yanbin Zhou China
Sreya Bagchi United States
Lucy Boyce Kennedy United States
Khashayar Esfahani Canada
Stephan Fricke Germany
Shoichiro Ohtani Japan
Laura Stanbery United States
Hai Hu China
Pablo Matar Argentina
Navid Sobhani relative to Maria J. de Miguel Spain Maria J. de Miguel's profile →
Citations per field
00.5×1.6×
Maria J. de Miguel · 1×
Citations per year

Countries citing papers authored by Navid Sobhani

Since Specialization
Citations

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

Fields of papers citing papers by Navid Sobhani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021181
2 2019119
3 201877
4 201174
5 202070
6
The next-generation DNA vaccine platforms and delivery systems: advances, challenges and prospects
Hit paper breakdown →
202469
7 202258
8 202048
9 202145
10 202139
11 202139
12 201836
13 201731
14 201928
15 201828
16 202126
17 201921
18 202221
19 201821
20 201820

About Navid Sobhani

Navid Sobhani is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Immunology and Cancer Research, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (11 papers), Immunotherapy and Immune Responses (9 papers), Advanced Breast Cancer Therapies (8 papers), Cancer Genomics and Diagnostics (7 papers), Cancer-related Molecular Pathways (7 papers), Prostate Cancer Treatment and Research (5 papers), Cancer Research and Treatments (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Oncology (607 citations), Cancer Research (249 citations), Immunology (294 citations), Pulmonary and Respiratory Medicine (416 citations) and Molecular Biology (556 citations). Navid Sobhani has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Giandomenico Roviello, Alberto D’Angelo, Daniele Generali, Yong Li, Daniele Generali, Raheleh Roudi, Silvia Paola Corona, Fabrizio Zanconati, Aram Davtyan and Marina Bortul. Their work appears in journals such as Cancers, International Journal of Molecular Sciences, Cells, iScience and Investigational New Drugs.

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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