David Hillus

2.8k total citations · 1 hit paper
8 papers, 300 citations indexed

About

David Hillus is a scholar working on Infectious Diseases, Health and Surgery. According to data from OpenAlex, David Hillus has authored 8 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 2 papers in Health and 1 paper in Surgery. Recurrent topics in David Hillus's work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers) and Vaccine Coverage and Hesitancy (2 papers). David Hillus is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers) and Vaccine Coverage and Hesitancy (2 papers). David Hillus collaborates with scholars based in Germany, France and Belgium. David Hillus's co-authors include Leif Erik Sander, Florian Kurth, Pinkus Tober‐Lau, Henning Gruell, Philipp Schommers, Kanika Vanshylla, Florian Klein, Clara Lehmann, Fabian Halleck and U. Weber and has published in prestigious journals such as Nature Medicine, Frontiers in Immunology and Emerging infectious diseases.

In The Last Decade

David Hillus

6 papers receiving 298 citations

Hit Papers

mRNA booster immunization elicits potent neutralizing ser... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Hillus Germany 4 282 47 45 39 33 8 300
Ivan Fan Ngai Hung China 4 268 1.0× 48 1.0× 38 0.8× 24 0.6× 22 0.7× 4 303
Kwok Yung Yuen Hong Kong 4 285 1.0× 51 1.1× 39 0.9× 29 0.7× 28 0.8× 6 336
David X. Lee United States 5 272 1.0× 28 0.6× 47 1.0× 49 1.3× 35 1.1× 7 287
Bosco Lam China 4 262 0.9× 48 1.0× 38 0.8× 23 0.6× 21 0.6× 6 298
Cindy Wu United States 2 259 0.9× 60 1.3× 29 0.6× 73 1.9× 30 0.9× 3 289
Maren Bacher Germany 3 358 1.3× 90 1.9× 53 1.2× 67 1.7× 44 1.3× 4 380
Sandrine Van Eeckhoudt Belgium 8 380 1.3× 41 0.9× 61 1.4× 36 0.9× 57 1.7× 11 405
Clara David Belgium 7 213 0.8× 28 0.6× 37 0.8× 42 1.1× 37 1.1× 12 245
Leo L. H. Luk Hong Kong 5 257 0.9× 41 0.9× 53 1.2× 24 0.6× 46 1.4× 8 273
Laura Ziegler Germany 4 250 0.9× 39 0.8× 73 1.6× 42 1.1× 61 1.8× 4 280

Countries citing papers authored by David Hillus

Since Specialization
Citations

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

Fields of papers citing papers by David Hillus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Hillus

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

All Works

8 of 8 papers shown
1.
Huscher, Dörte, David Hillus, Pinkus Tober‐Lau, et al.. (2024). Levels of high-sensitive troponin T and mid-regional pro-adrenomedullin after COVID-19 vaccination in vulnerable groups: monitoring cardiovascular safety of COVID-19 vaccination. Frontiers in Cardiovascular Medicine. 11. 1435038–1435038.
2.
Thibeault, Charlotte, Kanika Vanshylla, Veronica Di Cristanziano, et al.. (2023). Short- and long-term T cell and antibody responses following dexamethasone treatment in COVID-19. JCI Insight. 8(8). 2 indexed citations
3.
Lichtner, Gregor, Julian Saß, Alexander Bartschke, et al.. (2023). Interoperable, Domain-Specific Extensions for the German Corona Consensus (GECCO) COVID-19 Research Data Set Using an Interdisciplinary, Consensus-Based Workflow: Data Set Development Study. JMIR Medical Informatics. 11. e45496–e45496. 1 indexed citations
4.
Hillus, David, et al.. (2023). Impfungen als Schlüssel der Pandemiebewältigung. DMW - Deutsche Medizinische Wochenschrift. 148(24/25). 1557–1563.
5.
Lingscheid, Tilman, Lena J. Lippert, David Hillus, et al.. (2022). Characterization of antimicrobial use and co-infections among hospitalized patients with COVID-19: a prospective observational cohort study. Infection. 50(6). 1441–1452. 7 indexed citations
6.
Gruell, Henning, Kanika Vanshylla, Pinkus Tober‐Lau, et al.. (2022). mRNA booster immunization elicits potent neutralizing serum activity against the SARS-CoV-2 Omicron variant. Nature Medicine. 28(3). 477–480. 243 indexed citations breakdown →
7.
Tober‐Lau, Pinkus, Henning Gruell, Kanika Vanshylla, et al.. (2022). Cross-Variant Neutralizing Serum Activity after SARS-CoV-2 Breakthrough Infections. Emerging infectious diseases. 28(5). 1050–1052. 7 indexed citations
8.
Schrezenmeier, Eva, Léon Bergfeld, David Hillus, et al.. (2021). Immunogenicity of COVID-19 Tozinameran Vaccination in Patients on Chronic Dialysis. Frontiers in Immunology. 12. 690698–690698. 40 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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