Henning Jacobsen

1.8k total citations
26 papers, 964 citations indexed

About

Henning Jacobsen is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Henning Jacobsen has authored 26 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 10 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Henning Jacobsen's work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (7 papers) and Influenza Virus Research Studies (3 papers). Henning Jacobsen is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (7 papers) and Influenza Virus Research Studies (3 papers). Henning Jacobsen collaborates with scholars based in Germany, United States and Denmark. Henning Jacobsen's co-authors include Sabra L. Klein, Alison Moody, F. Sundby, Klavs H. Jørgensen, Lars Thim, Hans Klenow, D.L. Kauffman, Vibeke Barkholt Pedersen, Bent Foltmann and Alister J. Moody and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Henning Jacobsen

26 papers receiving 900 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henning Jacobsen Germany 14 339 254 195 162 149 26 964
Xiaowen L. Rudner United States 17 387 1.1× 100 0.4× 176 0.9× 105 0.6× 325 2.2× 26 1.3k
Pilar Dégano Spain 12 238 0.7× 308 1.2× 110 0.6× 70 0.4× 262 1.8× 15 1.0k
Stephen W. Rothwell United States 24 561 1.7× 127 0.5× 143 0.7× 228 1.4× 238 1.6× 62 1.5k
Darko Richter Germany 19 328 1.0× 69 0.3× 77 0.4× 86 0.5× 252 1.7× 75 1.1k
Madelene Ericsson Sweden 21 556 1.6× 199 0.8× 269 1.4× 97 0.6× 49 0.3× 53 1.3k
Mei Mei Ho United Kingdom 22 516 1.5× 122 0.5× 359 1.8× 400 2.5× 381 2.6× 64 1.5k
Christopher R. Bailey United States 22 640 1.9× 234 0.9× 43 0.2× 72 0.4× 101 0.7× 63 1.5k
Ronald Bellisario United States 19 549 1.6× 67 0.3× 276 1.4× 57 0.4× 100 0.7× 26 1.2k
Patrizia Luppi United States 19 246 0.7× 344 1.4× 215 1.1× 50 0.3× 393 2.6× 32 1.3k
Christina Wang United States 16 392 1.2× 66 0.3× 411 2.1× 88 0.5× 62 0.4× 35 1.2k

Countries citing papers authored by Henning Jacobsen

Since Specialization
Citations

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

Fields of papers citing papers by Henning Jacobsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henning Jacobsen

This figure shows the co-authorship network connecting the top 25 collaborators of Henning Jacobsen. A scholar is included among the top collaborators of Henning Jacobsen 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 Henning Jacobsen. Henning Jacobsen 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
1.
Schmelz, Stefan, Ulfert Rand, Henning Jacobsen, et al.. (2025). Reverse mutational scanning of SARS-CoV-2 spike BA.2.86 identifies epitopes contributing to immune escape from polyclonal sera. Nature Communications. 16(1). 809–809. 7 indexed citations
2.
Jacobsen, Henning, et al.. (2024). Real-time identification of epistatic interactions in SARS-CoV-2 from large genome collections. Genome biology. 25(1). 228–228. 3 indexed citations
3.
Jacobsen, Henning, Markus Hoffmann, Amy Kempf, et al.. (2023). TMPRSS2 Is Essential for SARS-CoV-2 Beta and Omicron Infection. Viruses. 15(2). 271–271. 38 indexed citations
4.
Abassi, Leila, Federico Bertoglio, Thomas Schirrmann, et al.. (2023). Evaluation of the Neutralizing Antibody STE90-C11 against SARS-CoV-2 Delta Infection and Its Recognition of Other Variants of Concerns. Viruses. 15(11). 2153–2153. 2 indexed citations
5.
6.
Heuvel, Joop van den, Markus Hoffmann, Henk Garritsen, et al.. (2023). Systematical assessment of the impact of single spike mutations of SARS-CoV-2 Omicron sub-variants on the neutralization capacity of post-vaccination sera. Frontiers in Immunology. 14. 1288794–1288794. 2 indexed citations
7.
Jacobsen, Henning, Viviana Cobos Jiménez, Ioannis Sitaras, et al.. (2022). Post-vaccination T cell immunity to omicron. Frontiers in Immunology. 13. 944713–944713. 18 indexed citations
8.
Jacobsen, Henning, Melissa M. Higdon, Viviana Cobos Jiménez, et al.. (2022). Post-Vaccination Neutralization Responses to Omicron Sub-Variants. Vaccines. 10(10). 1757–1757. 12 indexed citations
9.
Seddu, Kumba, et al.. (2022). Sex hormones more than sex chromosomal complement predict sex differences in influenza vaccine-induced immunity and protection in mice. The Journal of Immunology. 208(Supplement_1). 64.17–64.17. 1 indexed citations
10.
Jacobsen, Henning, Ioannis Sitaras, Mick N. Mulders, et al.. (2022). Assessing the Reliability of SARS-CoV-2 Neutralization Studies That Use Post-Vaccination Sera. Vaccines. 10(6). 850–850. 2 indexed citations
11.
Sitaras, Ioannis, Henning Jacobsen, Melissa M. Higdon, et al.. (2022). Systematic review of primary and booster COVID-19 sera neutralizing ability against SARS-CoV-2 omicron variant. npj Vaccines. 7(1). 147–147. 10 indexed citations
12.
Jacobsen, Henning & Sabra L. Klein. (2021). Sex Differences in Immunity to Viral Infections. Frontiers in Immunology. 12. 720952–720952. 135 indexed citations
13.
Wiessner, Christian, Michael Spohn, Marc Lütgehetmann, et al.. (2021). Infant immunity against viral infections is advanced by the placenta-dependent vertical transfer of maternal antibodies. Vaccine. 40(11). 1563–1571. 38 indexed citations
14.
15.
Sartorius, Benn, Henning Jacobsen, Anna Törner, & Johan Giesecke. (2006). Description of a New all Cause Mortality Surveillance System in Sweden as a Warning System Using Threshold Detection Algorithms. European Journal of Epidemiology. 21(3). 181–189. 9 indexed citations
16.
Rudolph, David L., et al.. (2001). Self-Efficacy, State Anxiety, and Cortisol Responses to Treadmill Running. Perceptual and Motor Skills. 92(3_suppl). 1129–1138. 24 indexed citations
17.
Rudolph, David L., et al.. (1997). SELF-EFFICACY AND CORTISOL RESPONSES TO EXERCISE 678. Medicine & Science in Sports & Exercise. 29(Supplement). 118–118. 1 indexed citations
18.
Jørgensen, Klavs H., Lars Thim, & Henning Jacobsen. (1982). Pancreatic Spasmolytic Polypeptide (PSP): I. Preparation and initial chemical characterization of a new polypeptide from porcine pancreas. Regulatory Peptides. 3(3-4). 207–219. 123 indexed citations
19.
Ravazzola, Mariella, Allan Siperstein, Alison Moody, et al.. (1979). Glicentin: A precursor of glucagon?. Life Sciences. 25(3). 287–290. 13 indexed citations
20.
Foltmann, Bent, et al.. (1977). The complete amino acid sequence of prochymosin.. Proceedings of the National Academy of Sciences. 74(6). 2321–2324. 89 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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