Elisabetta Padovan

5.1k citations
48 papers · 4.0k indexed · 1 hit paper · h-index 26
Topics
Immunotherapy and Immune Responses (20 papers)T-cell and B-cell Immunology (17 papers)Immune Cell Function and Interaction (14 papers)
Partner nations
SwitzerlandGermanyItaly

In The Last Decade

Elisabetta Padovan

48 papers receiving 3.9k citations

Hit Papers

Serial triggering of many T-cell receptors by a few pepti...19952026200520151995250500750

Peers

Elisabetta Padovan
Comparison fields: 5 of 102
  • Immunology 3.0k
  • Oncology 836
  • Molecular Biology 664
  • Radiology, Nuclear Medicine and Imaging 464
  • Pharmacology 395
Replace Patrick Schaerli with:
Patrick Schaerli Switzerland
P C Familletti United States
Wendy F. Davidson United States
Martin R. Hodge United States
Robert Korngold United States
Daniel L. Mueller United States
Maria Pia Protti Italy
P E Lipsky United States
Shinsuke Taki Japan
Marilyn R. Kehry United States
Elisabetta Padovan relative to Patrick Schaerli Switzerland Patrick Schaerli's profile →
Citations per field
00.5×3.9×
Patrick Schaerli · 1×
Citations per year

Countries citing papers authored by Elisabetta Padovan

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Padovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elisabetta Padovan

This figure shows the co-authorship network connecting the top 25 collaborators of Elisabetta Padovan. A scholar is included among the top collaborators of Elisabetta Padovan 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 Elisabetta Padovan. Elisabetta Padovan 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 20
2 11
3 9
4 24
5 43
6 20
7 60
8 21
9 45
10 72
11 97
12 152
13 86
14 105
15 28
16 59
17 381
18 227
19 16
20 4

About Elisabetta Padovan

Elisabetta Padovan is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 48 papers that have together received 4.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (20 papers), T-cell and B-cell Immunology (17 papers) and Immune Cell Function and Interaction (14 papers). The work is most often cited by research in Immunology (3.0k citations), Immunology and Allergy (234 citations) and Oncology (836 citations). Elisabetta Padovan has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Antonio Lanzavecchia, Salvatore Valitutti, Marina Cella, Sabina Müller, Giulio C. Spagnoli, Paolo Dellabona, Giulia Casorati, Manfred Brockhaus, Hans Ulrich Weltzien and Michael Heberer. Their work appears in journals such as Nature, Science and Journal of Biological Chemistry.

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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