Leo Hanke

2.5k total citations
28 papers, 902 citations indexed

About

Leo Hanke is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Leo Hanke has authored 28 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 11 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Molecular Biology. Recurrent topics in Leo Hanke's work include SARS-CoV-2 and COVID-19 Research (17 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Bacteriophages and microbial interactions (5 papers). Leo Hanke is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (17 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Bacteriophages and microbial interactions (5 papers). Leo Hanke collaborates with scholars based in Sweden, United States and South Africa. Leo Hanke's co-authors include Gerald M. McInerney, Ben Murrell, Daniel J. Sheward, Laura Perez Vidakovics, Ainhoa Moliner Morro, Hrishikesh Das, Gunilla B. Karlsson Hedestam, B.M. Hallberg, Hidde L. Ploegh and Martin Corcoran and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nano Letters.

In The Last Decade

Leo Hanke

27 papers receiving 895 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leo Hanke Sweden 17 463 406 388 171 120 28 902
Dorien De Vlieger Belgium 8 361 0.8× 233 0.6× 219 0.6× 119 0.7× 94 0.8× 9 602
Zhe Sang United States 10 337 0.7× 369 0.9× 273 0.7× 85 0.5× 121 1.0× 12 618
Kim-Marie A. Dam United States 7 844 1.8× 225 0.6× 342 0.9× 155 0.9× 89 0.7× 11 1.0k
Zachary T. Berndsen United States 11 293 0.6× 171 0.4× 353 0.9× 147 0.9× 157 1.3× 15 704
Harry B. Gristick United States 13 951 2.1× 330 0.8× 612 1.6× 291 1.7× 101 0.8× 22 1.4k
Yu E. Lee United States 6 1.0k 2.2× 265 0.7× 407 1.0× 206 1.2× 100 0.8× 9 1.2k
Raiees Andrabi United States 18 434 0.9× 343 0.8× 569 1.5× 398 2.3× 84 0.7× 45 1.2k
Natalia T. Freund Israel 14 301 0.7× 345 0.8× 488 1.3× 349 2.0× 65 0.5× 21 942
Yumiko Adachi United States 8 155 0.3× 297 0.7× 465 1.2× 300 1.8× 56 0.5× 9 815

Countries citing papers authored by Leo Hanke

Since Specialization
Citations

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

Fields of papers citing papers by Leo Hanke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo Hanke

This figure shows the co-authorship network connecting the top 25 collaborators of Leo Hanke. A scholar is included among the top collaborators of Leo Hanke 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 Leo Hanke. Leo Hanke 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.
Vidakovics, Laura Perez, Leo Hanke, Alejandro A. Castello, et al.. (2025). Engineered Nanobodies for early and accurate diagnosis of dengue virus infection. PLoS neglected tropical diseases. 19(10). e0013168–e0013168.
2.
Das, Hrishikesh, Chang-Il Kim, Xaquín Castro Dopico, et al.. (2024). Multi-compartmental diversification of neutralizing antibody lineages dissected in SARS-CoV-2 spike-immunized macaques. Nature Communications. 15(1). 6338–6338. 3 indexed citations
3.
Sheward, Daniel J., Hrishikesh Das, Allison J. Greaney, et al.. (2024). Structural basis of broad SARS-CoV-2 cross-neutralization by affinity-matured public antibodies. Cell Reports Medicine. 5(6). 101577–101577. 7 indexed citations
4.
5.
Schulte, Tim, Marc D. Panas, Xiao Han, et al.. (2023). Caprin-1 binding to the critical stress granule protein G3BP1 is influenced by pH. Open Biology. 13(5). 220369–220369. 11 indexed citations
6.
Sych, Taras, Jan Schlegel, Hanna M. G. Barriga, et al.. (2023). High-throughput measurement of the content and properties of nano-sized bioparticles with single-particle profiler. Nature Biotechnology. 42(4). 587–590. 36 indexed citations
7.
Schlegel, Jan, Leo Hanke, Hjalmar Brismar, et al.. (2023). A Multiparametric and High-Throughput Platform for Host–Virus Binding Screens. Nano Letters. 23(9). 3701–3707. 1 indexed citations
8.
Dopico, Xaquín Castro, Sandra Muschiol, Nastasiya F. Grinberg, et al.. (2022). Probabilistic classification of anti‐SARS‐CoV‐2 antibody responses improves seroprevalence estimates. Clinical & Translational Immunology. 11(3). e1379–e1379. 3 indexed citations
9.
Hanke, Leo, Hrishikesh Das, Daniel J. Sheward, et al.. (2022). A bispecific monomeric nanobody induces spike trimer dimers and neutralizes SARS-CoV-2 in vivo. Nature Communications. 13(1). 155–155. 55 indexed citations
10.
Hanke, Leo, Daniel J. Sheward, Alec Pankow, et al.. (2022). Multivariate mining of an alpaca immune repertoire identifies potent cross-neutralizing SARS-CoV-2 nanobodies. Science Advances. 8(12). eabm0220–eabm0220. 22 indexed citations
11.
Gupta, Govind, Bejan Hamawandi, Daniel J. Sheward, et al.. (2022). Silver nanoparticles with excellent biocompatibility block pseudotyped SARS-CoV-2 in the presence of lung surfactant. Frontiers in Bioengineering and Biotechnology. 10. 1083232–1083232. 5 indexed citations
12.
Sheward, Daniel J., Hrishikesh Das, Xaquín Castro Dopico, et al.. (2022). Immunoglobulin germline gene polymorphisms influence the function of SARS-CoV-2 neutralizing antibodies. Immunity. 56(1). 193–206.e7. 20 indexed citations
13.
Sheward, Daniel J., Leo Hanke, Junjie Ma, et al.. (2021). SARS-CoV-2 protein subunit vaccination of mice and rhesus macaques elicits potent and durable neutralizing antibody responses. Cell Reports Medicine. 2(4). 100252–100252. 27 indexed citations
14.
Sheward, Daniel J., Egon Urgard, Chang-Il Kim, et al.. (2021). Beta RBD boost broadens antibody-mediated protection against SARS-CoV-2 variants in animal models. Cell Reports Medicine. 2(11). 100450–100450. 14 indexed citations
15.
Szurgot, Inga, Leo Hanke, Daniel J. Sheward, et al.. (2021). DNA-launched RNA replicon vaccines induce potent anti-SARS-CoV-2 immune responses in mice. Scientific Reports. 11(1). 3125–3125. 15 indexed citations
16.
Morro, Ainhoa Moliner, Daniel J. Sheward, Laura Perez Vidakovics, et al.. (2020). Picomolar SARS-CoV-2 Neutralization Using Multi-Arm PEG Nanobody Constructs. Biomolecules. 10(12). 1661–1661. 35 indexed citations
17.
Hanke, Leo, Laura Perez Vidakovics, Daniel J. Sheward, et al.. (2020). An alpaca nanobody neutralizes SARS-CoV-2 by blocking receptor interaction. Nature Communications. 11(1). 4420–4420. 229 indexed citations
18.
Custódio, Tânia F., Hrishikesh Das, Daniel J. Sheward, et al.. (2020). Selection, biophysical and structural analysis of synthetic nanobodies that effectively neutralize SARS-CoV-2. Nature Communications. 11(1). 5588–5588. 99 indexed citations
19.
Hanke, Leo, Florian I. Schmidt, Kevin E. Knockenhauer, et al.. (2017). Vesicular stomatitis virus N protein‐specific single‐domain antibody fragments inhibit replication. EMBO Reports. 18(6). 1027–1037. 20 indexed citations
20.
Duarte, João N., Juan J. Cragnolini, Lee Kim Swee, et al.. (2016). Generation of Immunity against Pathogens via Single-Domain Antibody–Antigen Constructs. The Journal of Immunology. 197(12). 4838–4847. 49 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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