Jan Liese

2.6k total citations · 1 hit paper
31 papers, 1.9k citations indexed

About

Jan Liese is a scholar working on Immunology, Molecular Medicine and Infectious Diseases. According to data from OpenAlex, Jan Liese has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 9 papers in Molecular Medicine and 8 papers in Infectious Diseases. Recurrent topics in Jan Liese's work include Antibiotic Resistance in Bacteria (9 papers), Antimicrobial Resistance in Staphylococcus (7 papers) and Bacterial Identification and Susceptibility Testing (7 papers). Jan Liese is often cited by papers focused on Antibiotic Resistance in Bacteria (9 papers), Antimicrobial Resistance in Staphylococcus (7 papers) and Bacterial Identification and Susceptibility Testing (7 papers). Jan Liese collaborates with scholars based in Germany, United States and Spain. Jan Liese's co-authors include Christian Bogdan, Ulrike Schleicher, Michael L. Dustin, Silke Peter, David A. Blair, Catarina Sacristán, Janelle Waite, Alexandra Zanin‐Zhorov, Gabriel D. Victora and David Fooksman and has published in prestigious journals such as The Journal of Experimental Medicine, Immunity and Annual Review of Immunology.

In The Last Decade

Jan Liese

30 papers receiving 1.9k 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.

A Wave of Regulatory T Cells into Neonatal Skin Mediates Tolerance to Commensal Microbes

2015 404 citations Tiffany C. Scharschmidt, Kimberly S. Vasquez et al. Immunity profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Liese Germany	18	760	515	366	341	322	31	1.9k
Yan Sun United States	33	1.1k 1.4×	890 1.7×	640 1.7×	532 1.6×	470 1.5×	78	3.0k
Grace Soong United States	23	1.0k 1.4×	1.2k 2.3×	220 0.6×	503 1.5×	595 1.8×	27	2.8k
Dorothee Kretschmer Germany	21	586 0.8×	1.5k 2.9×	209 0.6×	186 0.5×	1.2k 3.7×	36	2.4k
Wilmara Salgado‐Pabón United States	25	402 0.5×	735 1.4×	198 0.5×	246 0.7×	1.0k 3.1×	34	1.8k
Sascha A. Kristian United States	18	620 0.8×	1.1k 2.1×	464 1.3×	281 0.8×	924 2.9×	24	2.4k
Sandip K. Datta United States	28	1.5k 2.0×	716 1.4×	100 0.3×	409 1.2×	391 1.2×	47	2.9k
Cédric Badiou France	25	458 0.6×	1.1k 2.1×	463 1.3×	253 0.7×	1.7k 5.1×	49	2.3k
Rita G. Kansal United States	27	459 0.6×	503 1.0×	1.4k 3.7×	376 1.1×	1.3k 4.1×	50	2.5k
Hwan Keun Kim United States	24	601 0.8×	1.5k 3.0×	471 1.3×	268 0.8×	1.9k 5.8×	44	2.9k
Silke Niemann Germany	22	366 0.5×	844 1.6×	344 0.9×	543 1.6×	995 3.1×	53	2.0k

Countries citing papers authored by Jan Liese

Since Specialization

Citations

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

Fields of papers citing papers by Jan Liese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Liese

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

All Works

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20 of 20 papers shown

Martus, Peter, Bernd Brüggenjürgen, Hans Eberhardt, et al.. (2024). Can screening and decontamination procedures performed on an outpatient basis reduce colonization with Staphylococcus aureus and mitigate associated complications in patients undergoing elective hospital procedures? A controlled intervention study (STAUfrei). Journal of Hospital Infection. 157. 19–28.

D’Ambrosio, A, Vanessa M. Eichel, Alexandra Heininger, et al.. (2023). Forecasting local hospital bed demand for COVID-19 using on-request simulations. Scientific Reports. 13(1). 21321–21321. 6 indexed citations

Eichel, Vanessa M., Katharina Last, Heike von Baum, et al.. (2023). Epidemiology and outcomes of vancomycin-resistant enterococcus infections: a systematic review and meta-analysis. Journal of Hospital Infection. 141. 119–128. 26 indexed citations

Liese, Jan, Lina María Serna-Higuita, Andreas Müller, et al.. (2022). Impact of early antibiotic exposure on the risk of colonization with potential pathogens in very preterm infants: a retrospective cohort analysis. Antimicrobial Resistance and Infection Control. 11(1). 72–72. 5 indexed citations

Wendel, Andreas, Frauke Mattner, Michael D. Weiss, et al.. (2022). Surveillance of Enterobacter cloacae complex colonization and comparative analysis of different typing methods on a neonatal intensive care unit in Germany. Antimicrobial Resistance and Infection Control. 11(1). 54–54. 15 indexed citations

Remppis, Jonathan, Christoph Slavetinsky, Malte Kohns Vasconcelos, et al.. (2022). Infection control of COVID-19 in pediatric tertiary care hospitals: challenges and implications for future pandemics. BMC Pediatrics. 22(1). 229–229. 3 indexed citations

Peter, Silke, Mattia Bosio, Daniela Bezdan, et al.. (2020). Tracking of Antibiotic Resistance Transfer and Rapid Plasmid Evolution in a Hospital Setting by Nanopore Sequencing. mSphere. 5(4). 62 indexed citations

Dinkelacker, Ariane, et al.. (2019). Fourier-Transform Infrared (FTIR) Spectroscopy for Typing of Clinical Enterobacter cloacae Complex Isolates. Frontiers in Microbiology. 10. 2582–2582. 60 indexed citations

Sobolewska, Bianka, Michael Buhl, Jan Liese, & Focke Ziemssen. (2018). Slit lamps and lenses: a potential source of nosocomial infections?. Eye. 32(6). 1021–1027. 7 indexed citations

10.

Schleicher, Ulrike, Jan Liese, Simone Haeberlein, et al.. (2018). Type I Interferon Signaling Is Required for CpG-Oligodesoxynucleotide-Induced Control of Leishmania major, but Not for Spontaneous Cure of Subcutaneous Primary or Secondary L. major Infection. Frontiers in Immunology. 9. 79–79. 12 indexed citations

11.

Peter, Silke, Daniela Bezdan, Philipp Oberhettinger, et al.. (2018). Whole-genome sequencing enabling the detection of a colistin-resistant hypermutating Citrobacter werkmanii strain harbouring a novel metallo-β-lactamase VIM-48. International Journal of Antimicrobial Agents. 51(6). 867–874. 11 indexed citations

12.

Peter, Silke, Philipp Oberhettinger, Leonard Schuele, et al.. (2017). Genomic characterisation of clinical and environmental Pseudomonas putida group strains and determination of their role in the transfer of antimicrobial resistance genes to Pseudomonas aeruginosa. BMC Genomics. 18(1). 859–859. 48 indexed citations

13.

Scharschmidt, Tiffany C., Kimberly S. Vasquez, Hong-An Truong, et al.. (2015). A Wave of Regulatory T Cells into Neonatal Skin Mediates Tolerance to Commensal Microbes. Immunity. 43(5). 1011–1021. 404 indexed citations breakdown →

14.

Willmann, Matthias, Wichard Vogel, Jan Liese, et al.. (2014). Clinical and treatment-related risk factors for nosocomial colonisation with extensively drug-resistant Pseudomonas aeruginosa in a haematological patient population: a matched case control study. BMC Infectious Diseases. 14(1). 650–650. 19 indexed citations

15.

Liese, Jan, Suzan H. M. Rooijakkers, Jos A. G. van Strijp, Richard P. Novick, & Michael L. Dustin. (2012). Intravital two-photon microscopy of host-pathogen interactions in a mouse model ofStaphylococcus aureusskin abscess formation. Cellular Microbiology. 15(6). 891–909. 64 indexed citations

16.

Mayer, Sonja, et al.. (2011). Intracellular monitoring of target protein production in Staphylococcus aureus by peptide tag‐induced reporter fluorescence. Microbial Biotechnology. 5(1). 129–134. 13 indexed citations

17.

Liese, Jan, Ulrike Schleicher, & Christian Bogdan. (2008). The innate immune response against Leishmania parasites. Immunobiology. 213(3-4). 377–387. 119 indexed citations

18.

Fejér, György, Jan Liese, Ulrike Schleicher, et al.. (2008). Key Role of Splenic Myeloid DCs in the IFN-αβ Response to Adenoviruses In Vivo. PLoS Pathogens. 4(11). e1000208–e1000208. 132 indexed citations

19.

Schleicher, Ulrike, Jan Liese, Ilka Knippertz, et al.. (2007). NK cell activation in visceral leishmaniasis requires TLR9, myeloid DCs, and IL-12, but is independent of plasmacytoid DCs. The Journal of Experimental Medicine. 204(4). 893–906. 144 indexed citations

20.

Liese, Jan, Ulrike Schleicher, & Christian Bogdan. (2007). TLR9 signaling is essential for the innate NK cell response in murine cutaneous leishmaniasis. European Journal of Immunology. 37(12). 3424–3434. 119 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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