Sarah Adamo

2.0k total citations · 1 hit paper
21 papers, 606 citations indexed

About

Sarah Adamo is a scholar working on Infectious Diseases, Neurology and Physiology. According to data from OpenAlex, Sarah Adamo has authored 21 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 9 papers in Neurology and 3 papers in Physiology. Recurrent topics in Sarah Adamo's work include SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (9 papers) and Long-Term Effects of COVID-19 (7 papers). Sarah Adamo is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 Clinical Research Studies (9 papers) and Long-Term Effects of COVID-19 (7 papers). Sarah Adamo collaborates with scholars based in Switzerland, Italy and United Kingdom. Sarah Adamo's co-authors include Jakob Nilsson, Miro E. Raeber, Onur Boyman, Carlo Cervia, 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

Sarah Adamo

18 papers receiving 589 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

Sarah Adamo

ID

NEURO

IMMUN

MB

CP

Jintao Wang China

Yves Zurbuchen Switzerland

Chansavath Phetsouphanh Australia

Carlo Cervia Switzerland

Lisa Paschold Germany

Анна Старшинова Russia

Mónica Rodríguez‐Jiménez Colombia

Antoaneta A. Toncheva Germany

Yulia Zinchenko Russia

Desiree Redmond Canada

Jintao Wang China

Sarah Adamo

284 ×0.9

ID

153 ×0.6

NEURO

99 ×0.6

IMMUN

78 ×0.7

MB

22 ×0.4

CP

Citations per year, relative to Sarah Adamo Sarah Adamo (= 1×) peers Jintao Wang

Countries citing papers authored by Sarah Adamo

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Adamo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Adamo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Abate, Filomena, Sarah Adamo, Leandro Donisi, et al.. (2024). Direct Current Stimulation of Prefrontal Cortex Is Not Effective in Progressive Supranuclear Palsy: A Randomized Trial. Movement Disorders. 39(6). 1043–1048.

2.

Clemente, Fabrizio, et al.. (2024). Circuital modelling in muscle tissue impedance measurements. Heliyon. 10(7). e28723–e28723.

3.

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

4.

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

5.

Adamo, Sarah, Yu Gao, Takuya Sekine, et al.. (2023). Memory profiles distinguish cross-reactive and virus-specific T cell immunity to mpox. Cell Host & Microbe. 31(6). 928–936.e4. 25 indexed citations

6.

Cai, Curtis, Yu Gao, Sarah Adamo, et al.. (2023). SARS-CoV-2 vaccination enhances the effector qualities of spike-specific T cells induced by COVID-19. Science Immunology. 8(90). eadh0687–eadh0687. 11 indexed citations

7.

Cesarelli, Giuseppe, et al.. (2023). A Managerial Approach to Investigate Fall Risk in a Rehabilitation Hospital. Applied Sciences. 13(13). 7847–7847.

8.

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

9.

Donisi, Leandro, Carlo Ricciardi, Giuseppe Cesarelli, et al.. (2022). Bidimensional and Tridimensional Poincaré Maps in Cardiology: A Multiclass Machine Learning Study. Electronics. 11(3). 448–448. 14 indexed citations

10.

Amboni, Marianna, Carlo Ricciardi, Sarah Adamo, et al.. (2022). Machine learning can predict mild cognitive impairment in Parkinson's disease. Frontiers in Neurology. 13. 1010147–1010147. 14 indexed citations

11.

D’Amato, Maria, Pasquale Ambrosino, Sarah Adamo, et al.. (2022). A machine learning approach to characterize patients with asthma exacerbation attending an acute care setting. European Journal of Internal Medicine. 104. 66–72. 8 indexed citations

12.

Adamo, Sarah, Pasquale Ambrosino, Carlo Ricciardi, et al.. (2022). A Machine Learning Approach to Predict the Rehabilitation Outcome in Convalescent COVID-19 Patients. Journal of Personalized Medicine. 12(3). 328–328. 7 indexed citations

13.

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 →

14.

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

15.

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

16.

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

17.

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

18.

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

19.

Gandolfi, Letizia, Sarah Adamo, Alessandro Pileri, et al.. (2015). Multisystemic and Multiresistant Langerhans Cell Histiocytosis: A Case Treated With BRAF Inhibitor. Journal of the National Comprehensive Cancer Network. 13(6). 715–718. 25 indexed citations

20.

Boggs, Joan M., et al.. (1984). Immune lysis of lipid vesicles containing myelin basic protein or glycolipid antigens by multiple sclerosis and normal sera. Journal of the Neurological Sciences. 66(2-3). 339–348. 2 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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