Carlo Cervia

1.9k total citations · 1 hit paper
10 papers, 470 citations indexed

About

Carlo Cervia is a scholar working on Infectious Diseases, Neurology and Immunology. According to data from OpenAlex, Carlo Cervia has authored 10 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 6 papers in Neurology and 2 papers in Immunology. Recurrent topics in Carlo Cervia's work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (8 papers) and Long-Term Effects of COVID-19 (6 papers). Carlo Cervia is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (8 papers) and Long-Term Effects of COVID-19 (6 papers). Carlo Cervia collaborates with scholars based in Switzerland, Germany and Sweden. Carlo Cervia's co-authors include Sarah Adamo, Jakob Nilsson, Onur Boyman, Miro E. Raeber, Yves Zurbuchen, Patrick Taeschler, Lars C Huber, Alain Rudiger, Melina Stüssi‐Helbling and Esther Bächli and has published in prestigious journals such as Nature, Nature Communications and Nature Immunology.

In The Last Decade

Carlo Cervia

10 papers receiving 457 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome

2022 139 citations Carlo Cervia, Yves Zurbuchen et al. Nature Communications profile →

Peers

Carlo Cervia

ID

NEURO

IMMUN

MB

CP

Melina Stüssi‐Helbling Switzerland

Patrick Taeschler Switzerland

Yves Zurbuchen Switzerland

Yasmeen Senussi United States

Jacob K. Files United States

Desiree Redmond Canada

Javier García‐Abellán Spain

Johanna Erber Germany

Arthur Eng Lip Yeow Australia

Sanghita Sarkar United States

Melina Stüssi‐Helbling Switzerland

Carlo Cervia

246 ×0.8

ID

224 ×1.0

NEURO

72 ×0.6

IMMUN

61 ×0.7

MB

57 ×1.1

CP

Citations per year, relative to Carlo Cervia Carlo Cervia (= 1×) peers Melina Stüssi‐Helbling

Countries citing papers authored by Carlo Cervia

Since Specialization

Citations

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

Fields of papers citing papers by Carlo Cervia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlo Cervia

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

All Works

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10 of 10 papers shown

1.

Zurbuchen, Yves, Patrick Taeschler, Sarah Adamo, et al.. (2023). Human memory B cells show plasticity and adopt multiple fates upon recall response to SARS-CoV-2. Nature Immunology. 24(6). 955–965. 20 indexed citations

2.

Zurbuchen, Yves, Patrick Taeschler, Sarah Adamo, et al.. (2023). Human memory B cells show plasticity and adopt multiple fates upon recall response to SARS-CoV-2. Zurich Open Repository and Archive (University of Zurich). 1 indexed citations

3.

Taeschler, Patrick, Carlo Cervia, Yves Zurbuchen, et al.. (2022). Autoantibodies in COVID‐19 correlate with antiviral humoral responses and distinct immune signatures. Allergy. 77(8). 2415–2430. 38 indexed citations

4.

Ardıçlı, Özge, K. Tayfun Çarlı, Pattraporn Satitsuksanoa, et al.. (2022). Exposure to avian coronavirus vaccines is associated with increased levels of SARS‐CoV‐2‐cross‐reactive antibodies. Allergy. 77(12). 3648–3662. 3 indexed citations

5.

Cervia, Carlo, Yves Zurbuchen, Patrick Taeschler, et al.. (2022). Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome. Nature Communications. 13(1). 446–446. 139 indexed citations breakdown →

6.

Taeschler, Patrick, Sarah Adamo, Yun Deng, et al.. (2022). T‐cell recovery and evidence of persistent immune activation 12 months after severe COVID‐19. Allergy. 77(8). 2468–2481. 31 indexed citations

7.

Adamo, Sarah, Yves Zurbuchen, Carlo Cervia, et al.. (2021). Signature of long-lived memory CD8+ T cells in acute SARS-CoV-2 infection. Nature. 602(7895). 148–155. 88 indexed citations

8.

Cervia, Carlo, Yves Zurbuchen, Patrick Taeschler, et al.. (2021). Immunoglobulin Signature Predicts Risk of Post-Acute Covid-19 Syndrome. SSRN Electronic Journal. 14 indexed citations

9.

Adamo, Sarah, Stéphane Chevrier, Carlo Cervia, et al.. (2021). Profound dysregulation of T cell homeostasis and function in patients with severe COVID‐19. Allergy. 76(9). 2866–2881. 53 indexed citations

10.

Chevrier, Stéphane, Yves Zurbuchen, Carlo Cervia, et al.. (2020). A distinct innate immune signature marks progression from mild to severe COVID-19. Cell Reports Medicine. 2(1). 100166–100166. 83 indexed citations

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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