Maria C. Speranza

2.2k citations
21 papers · 982 indexed · 1 hit paper · h-index 12
Topics
Virus-based gene therapy research (5 papers)Cancer Immunotherapy and Biomarkers (5 papers)CAR-T cell therapy research (4 papers)

In The Last Decade

Maria C. Speranza

17 papers receiving 966 citations

Hit Papers

Oncolytic Viruses in Cancer Treatment20162026201920222016100200300400

Peers

Maria C. Speranza
Comparison fields: 5 of 78
  • Molecular Biology 463
  • Oncology 460
  • Genetics 427
  • Immunology 200
  • Cancer Research 119
Replace Justin C. Roth with:
Justin C. Roth United States
Adam Studebaker United States
Kathrin M. Bernt United States
Stephanie Laufs Germany
Andrea Muscat Australia
Toshihiko Kuroda Japan
Alena Cristina Jaime‐Ramirez United States
Smita K. Nair United States
Chelsea Bolyard United States
Christopher R. Logg United States
Maria C. Speranza relative to Justin C. Roth United States Justin C. Roth's profile →
Citations per field
00.5×3.0×
Justin C. Roth · 1×
Citations per year

Countries citing papers authored by Maria C. Speranza

Since Specialization
Citations

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

Fields of papers citing papers by Maria C. Speranza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria C. Speranza. 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 Maria C. Speranza. The network helps show where Maria C. Speranza may publish in the future.

Co-authorship network of co-authors of Maria C. Speranza

This figure shows the co-authorship network connecting the top 25 collaborators of Maria C. Speranza. A scholar is included among the top collaborators of Maria C. Speranza based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maria C. Speranza. Maria C. Speranza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 103
3 45
4 0
5 4
6 1
7 5
8 0
9 0
10 36
11 13
12 7
13 31
14
Oncolytic Viruses in Cancer Treatmentbreakdown →
451
15 12
16 22
17 59
18 93
19 22
20 72

About Maria C. Speranza

Maria C. Speranza is a scholar working on Oncology, Biological Psychiatry and Genetics, having authored 21 papers that have together received 982 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Oncology (460 citations), Genetics (427 citations) and Biotechnology (97 citations). Maria C. Speranza has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Sean Lawler, E. Antonio Chiocca, Serena Pellegatta, Gaetano Finocchiaro, Veroniquè Frattini, Federica Pisati, Gordon J. Freeman, Dimos Kapetis, Hiroshi Nakashima and Soledad Fernández. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Immunology and PLoS ONE.

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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