Anna Passarelli

1.4k citations
39 papers · 910 · h-index 14

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Cancer Immunotherapy and Biomarkers 9
    • CAR-T cell therapy research 4
    • Immunotherapy and Immune Responses 9
    • Immune Cell Function and Interaction 3

Anna Passarelli

33 papers receiving 900 citations

Peers

Anna Passarelli
Comparison fields: 5 of 77
  • Immunology 330
  • Oncology 380
  • Cancer Research 171
  • Physiology 39
  • Immunology and Allergy 36
Replace Simon Laban with:
Simon Laban Germany
Ethel R. Pereira United States
Barbara Castella Italy
Nadja Zaborsky Austria
Nicholas C. DeVito United States
Brian Riesenberg United States
Sijie Lu United States
Yacine Barèche Belgium
Giuseppe Di Italy
Wenzhi Tian China
Anna Passarelli relative to Simon Laban Germany Simon Laban's profile →
Citations per field
00.5×2.8×
Simon Laban · 1×
Citations per year

Countries citing papers authored by Anna Passarelli

Since Specialization
Citations

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

Fields of papers citing papers by Anna Passarelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017183
2 2019106
3 201895
4 201785
5 201753
6 201448
7 201941
8 201939
9 202037
10 201535
11 201935
12 201924
13 201721
14 202219
15 201012
16 202110
17 201810
18 20248
19 20238
20 20207

About Anna Passarelli

Anna Passarelli is a scholar working on Oncology, Immunology, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 910 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Immunotherapy and Immune Responses (9 papers), Ovarian cancer diagnosis and treatment (5 papers), Extracellular vesicles in disease (5 papers), CAR-T cell therapy research (4 papers), Endometrial and Cervical Cancer Treatments (4 papers), Lymphoma Diagnosis and Treatment (4 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (330 citations), Oncology (380 citations), Cancer Research (171 citations), Physiology (39 citations) and Immunology and Allergy (36 citations). Anna Passarelli has collaborated with scholars based in Italy, China and United Kingdom. Frequent co-authors include Marco Tucci, Luigia Stefania Stucci, Francesco Mannavola, Franco Silvestris, Mauro Cives, Claudia Felici, Michele Aieta, Stella D’Oronzo, Gabriele Madonna and Paolo A. Ascierto. Their work appears in journals such as Frontiers in Immunology, Critical Reviews in Oncology/Hematology, Frontiers in Oncology, International Journal of Gynecological Cancer and Journal of Translational Medicine.

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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