Susanna Cardell

5.2k citations
78 papers · 3.5k indexed · h-index 34
  • Immunology top 0.5%
    • Immune Cell Function and Interaction 59
    • T-cell and B-cell Immunology 50
    • Immunotherapy and Immune Responses 18
    • Immune Response and Inflammation 7
    • IL-33, ST2, and ILC Pathways 5
  • Oncology top 5%
    • CAR-T cell therapy research 12
  • Neurology top 10%
  • Genetics top 10%
    • Diabetes and associated disorders 8
    • Pancreatic function and diabetes 6

Susanna Cardell

78 papers receiving 3.5k citations

Peers

Susanna Cardell
Comparison fields: 5 of 109
  • Immunology 2.7k
  • Oncology 511
  • Immunology and Allergy 99
  • Neurology 97
  • Genetics 300
Replace Giorgio Raimondi with:
Giorgio Raimondi United States
Philip G. Ashton‐Rickardt United States
Seokmann Hong South Korea
Gunnar Hedlund Sweden
Réjean Lapointe Canada
Catherine J. McMahan United States
Shinya Suzu Japan
Ramila Philip United States
Viktor Steimle Switzerland
E. Peter Rieber Germany
Susanna Cardell relative to Giorgio Raimondi United States Giorgio Raimondi's profile →
Citations per field
00.5×
Giorgio Raimondi · 1×
Citations per year

Countries citing papers authored by Susanna Cardell

Since Specialization
Citations

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

Fields of papers citing papers by Susanna Cardell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20236
2 20232
3 20216
4 20198
5 201872
6 201816
7 201716
8 20135
9 201072
10 20074
11 200631
12 200551
13 2004330
14 200318
15 200044
16 200027
17 2000396
18 199973
19 199935
20 199110

About Susanna Cardell

Susanna Cardell is a scholar working on Immunology, Endocrinology and Oncology, having authored 78 papers that have together received 3.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (59 papers), T-cell and B-cell Immunology (50 papers), Immunotherapy and Immune Responses (18 papers), CAR-T cell therapy research (12 papers), Diabetes and associated disorders (8 papers), Immune Response and Inflammation (7 papers), Pancreatic function and diabetes (6 papers) and IL-33, ST2, and ILC Pathways (5 papers). The work is most often cited by research in Immunology (2.7k citations), Oncology (511 citations) and Immunology and Allergy (99 citations). Susanna Cardell has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Samuel M. Behar, Mitchell Kronenberg, Igor Maricic, Vipin Kumar, Carlos Aguilera, Ramesh Halder, Anna Makowska, Laurent Brossay, Steven A. Porcelli and Michael B. Brenner. Their work appears in journals such as European Journal of Immunology, The Journal of Immunology, Frontiers in Immunology, Scandinavian 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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