Susanna Pasquini

540 citations
12 papers · 464 indexed · h-index 11
Topics
Immunotherapy and Immune Responses (8 papers)Rabies epidemiology and control (5 papers)Virus-based gene therapy research (4 papers)

In The Last Decade

Susanna Pasquini

12 papers receiving 439 citations

Peers

Susanna Pasquini
Comparison fields: 5 of 47
  • Immunology 252
  • Molecular Biology 154
  • Infectious Diseases 110
  • Epidemiology 106
  • Genetics 105
Replace Diana Haddad with:
Diana Haddad Sweden
Mary S. Wu United States
Michael Merva United States
Veronica Neumann United States
Richard J. Anderson United States
Yanuario Sanchez United States
H. C. J. Ertl United States
Zhongkai Shi United States
Mark L. Bagarazzi United States
Eliane Sobczak France
Susanna Pasquini relative to Diana Haddad Sweden Diana Haddad's profile →
Citations per field
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Citations per year

Countries citing papers authored by Susanna Pasquini

Since Specialization
Citations

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

Fields of papers citing papers by Susanna Pasquini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanna Pasquini

This figure shows the co-authorship network connecting the top 25 collaborators of Susanna Pasquini. A scholar is included among the top collaborators of Susanna Pasquini 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 Susanna Pasquini. Susanna Pasquini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 22
3 64
4 24
5 51
6 39
7 45
8 75
9 11
10 32
11 83
12
Antitumor efficacy of a human major histocompatibility complex nonrestricted cytotoxic T-cell line (TALL-104) in immunocompetent mice bearing syngeneic leukemia.
17

About Susanna Pasquini

Susanna Pasquini is a scholar working on Virology, Immunology and Infectious Diseases, having authored 12 papers that have together received 464 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), Rabies epidemiology and control (5 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Virology (85 citations), Immunology (252 citations) and Biotechnology (55 citations). Susanna Pasquini has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Hildegund C.J. Ertl, Zhiquan Xiang, Yijie Wang, Zhi Quan Xiang, H. C. J. Ertl, Magdalena Blaszczyk‐Thurin, Han‐Xiang Deng, Nicholas R. Lemoine, Zuhua He and David S. Pisetsky. Their work appears in journals such as The Journal of Immunology, Journal of Virology and Virology.

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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