Mara Cossa

815 citations
29 papers · 646 · h-index 12

Impact in

  • Oncology top 10%
    • Lung Cancer Research Studies
    • Cutaneous Melanoma Detection and Management
    • Cancer Immunotherapy and Biomarkers
    • MicroRNA in disease regulation

Papers in

    • Cutaneous Melanoma Detection and Management 10
    • Cancer Cells and Metastasis 2
    • CAR-T cell therapy research 2
    • Lung Cancer Research Studies 2
    • Neuroendocrine Tumor Research Advances 3

Mara Cossa

28 papers receiving 637 citations

Peers

Mara Cossa
Comparison fields: 5 of 67
  • Oncology 310
  • Cancer Research 135
  • Immunology 162
  • Neurology 57
  • Epidemiology 119
Replace Parvathy Manoj with:
Parvathy Manoj United States
Justine Jia Wen Seow Singapore
Elvira D’Ippolito Germany
Rasa J Vilimas United States
Hong Bu China
Edward El Rassi United States
Georgios Fotakis Austria
Heidi Altmann Germany
Han‐Seung Yoon New Zealand
Christine Longvert France
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Citations per field
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Citations per year

Countries citing papers authored by Mara Cossa

Since Specialization
Citations

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

Fields of papers citing papers by Mara Cossa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018219
2 201768
3 202053
4 201953
5 201529
6 201729
7 202028
8 201727
9 201819
10 201214
11 202313
12 202212
13 202011
14 201711
15 20219
16 20217
17 20197
18 20207
19 20235
20 20225

About Mara Cossa

Mara Cossa is a scholar working on Oncology, Epidemiology, Cancer Research, Neurology and Molecular Biology, having authored 29 papers that have together received 646 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (10 papers), Neuroendocrine Tumor Research Advances (3 papers), Melanoma and MAPK Pathways (3 papers), Cancer Cells and Metastasis (2 papers), CAR-T cell therapy research (2 papers), Lung Cancer Research Studies (2 papers), Neuroblastoma Research and Treatments (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Oncology (310 citations), Cancer Research (135 citations), Immunology (162 citations), Neurology (57 citations) and Epidemiology (119 citations). Mara Cossa has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Barbara Valeri, Angelica Sonzogni, Giuseppe Pelosi, Alessandra Fabbri, Luisella Righi, Ugo Pastorino, Gaia Gatti, Mauro Giulio Papotti, Patrick Maisonneuve and Licia Rivoltini. Their work appears in journals such as Journal of the National Comprehensive Cancer Network, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, European Journal of Surgical Oncology, Journal for ImmunoTherapy of Cancer and Frontiers in Immunology.

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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