Susanne Paukner

2.1k total citations
48 papers, 1.7k citations indexed

About

Susanne Paukner is a scholar working on Small Animals, Immunology and Infectious Diseases. According to data from OpenAlex, Susanne Paukner has authored 48 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Small Animals, 22 papers in Immunology and 18 papers in Infectious Diseases. Recurrent topics in Susanne Paukner's work include Veterinary medicine and infectious diseases (36 papers), Toxin Mechanisms and Immunotoxins (20 papers) and Clostridium difficile and Clostridium perfringens research (16 papers). Susanne Paukner is often cited by papers focused on Veterinary medicine and infectious diseases (36 papers), Toxin Mechanisms and Immunotoxins (20 papers) and Clostridium difficile and Clostridium perfringens research (16 papers). Susanne Paukner collaborates with scholars based in United States, Austria and Denmark. Susanne Paukner's co-authors include Werner Lubitz, Hélio S. Sader, Gudrun Köhl, Zrinka Ivezic‐Schoenfeld, Pavol Kudela, Jørgen Skov Jensen, Steven P Gelone, Ronald N. Jones, Wolfgang W. Wicha and Anita Das and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Nucleic Acids Research.

In The Last Decade

Susanne Paukner

48 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susanne Paukner United States 24 647 522 354 347 271 48 1.7k
Jacob Poehlsgaard Denmark 15 183 0.3× 536 1.0× 839 2.4× 101 0.3× 250 0.9× 16 1.6k
Franck Biet France 27 441 0.7× 1.3k 2.5× 825 2.3× 375 1.1× 1.7k 6.4× 79 2.6k
C. Cocito Belgium 29 295 0.5× 1.0k 1.9× 1.4k 3.8× 293 0.8× 1.1k 4.2× 140 3.0k
Stephen Rittenhouse United States 26 122 0.2× 458 0.9× 801 2.3× 136 0.4× 339 1.3× 43 2.2k
Rodger Novak United States 15 115 0.2× 419 0.8× 285 0.8× 153 0.4× 452 1.7× 17 1.2k
Stephan Köhler France 36 1.9k 2.9× 197 0.4× 1.1k 3.2× 607 1.7× 941 3.5× 75 3.8k
Ricardo de la Fuente Spain 25 193 0.3× 933 1.8× 453 1.3× 79 0.2× 167 0.6× 84 2.0k
Burkhard Springer Austria 32 671 1.0× 2.1k 4.1× 1.3k 3.8× 264 0.8× 2.2k 8.3× 72 3.9k
Enrique Llobet Spain 19 111 0.2× 195 0.4× 606 1.7× 308 0.9× 366 1.4× 21 2.1k
M Ramuz France 28 1.2k 1.9× 225 0.4× 1.0k 2.9× 328 0.9× 715 2.6× 56 2.8k

Countries citing papers authored by Susanne Paukner

Since Specialization
Citations

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

Fields of papers citing papers by Susanne Paukner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanne Paukner

This figure shows the co-authorship network connecting the top 25 collaborators of Susanne Paukner. A scholar is included among the top collaborators of Susanne Paukner 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 Susanne Paukner. Susanne Paukner 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.
Salado-Rasmussen, Kirsten, et al.. (2024). In vitro test of the novel antibiotic lefamulin alone and in combination with doxycycline against Mycoplasma genitalium. Antimicrobial Agents and Chemotherapy. 69(1). e0134624–e0134624. 1 indexed citations
2.
Paukner, Susanne, et al.. (2024). In Vivo Immune-Modulatory Activity of Lefamulin in an Influenza Virus A (H1N1) Infection Model in Mice. International Journal of Molecular Sciences. 25(10). 5401–5401. 2 indexed citations
3.
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File, Thomas M., Elizabeth Alexander, Lisa Goldberg, et al.. (2021). Lefamulin efficacy and safety in a pooled phase 3 clinical trial population with community-acquired bacterial pneumonia and common clinical comorbidities. BMC Pulmonary Medicine. 21(1). 154–154. 17 indexed citations
6.
7.
Paukner, Susanne, et al.. (2018). In Vitro Activity of Lefamulin against Sexually Transmitted Bacterial Pathogens. Antimicrobial Agents and Chemotherapy. 62(5). 49 indexed citations
8.
Paukner, Susanne, et al.. (2017). Activity of Lefamulin against Collected Worldwide from Hospitalized Patients with Bacterial Pneumonia.. Open Forum Infectious Diseases. 4. 1 indexed citations
9.
Paukner, Susanne, Hélio S. Sader, Jennifer M Streit, Robert K. Flamm, & Steven P Gelone. (2017). In Vitro Activity of Lefamulin Against a Global Collection of Bacterial Pathogens Commonly Causing Community-Acquired Bacterial Pneumonia (CABP, SENTRY 2015). Open Forum Infectious Diseases. 4(suppl_1). S373–S373. 3 indexed citations
10.
Eyal, Zohar, Donna Matzov, Miri Krupkin, et al.. (2016). A novel pleuromutilin antibacterial compound, its binding mode and selectivity mechanism. Scientific Reports. 6(1). 39004–39004. 85 indexed citations
11.
Paukner, Susanne, et al.. (2016). Pleuromutilins: Potent Drugs for Resistant Bugs—Mode of Action and Resistance. Cold Spring Harbor Perspectives in Medicine. 7(1). a027110–a027110. 152 indexed citations
12.
Eyal, Zohar, Donna Matzov, Miri Krupkin, et al.. (2015). Structural insights into species-specific features of the ribosome from the pathogen Staphylococcus aureus. Proceedings of the National Academy of Sciences. 112(43). E5805–14. 104 indexed citations
13.
Sader, Hélio S., et al.. (2012). Antimicrobial activity of the novel pleuromutilin antibiotic BC-3781 against organisms responsible for community-acquired respiratory tract infections (CARTIs). Journal of Antimicrobial Chemotherapy. 67(5). 1170–1175. 77 indexed citations
14.
Paukner, Susanne, et al.. (2010). Activity of BC-3781, a Novel Pleuromutilin Compound, Tested against Clinical Isolates of MRSA, Including Molecularly Characterized Community-Acquired and Hospital-Associated Strains. 1 indexed citations
15.
Kudela, Pavol, Susanne Paukner, Ulrike Beate Mayr, et al.. (2008). Effective gene transfer to melanoma cells using bacterial ghosts. Cancer Letters. 262(1). 54–63. 31 indexed citations
16.
Paukner, Susanne, et al.. (2008). In Vitro Activity of LK-157, a Novel Tricyclic Carbapenem As Broad-Spectrum β-Lactamase Inhibitor. Antimicrobial Agents and Chemotherapy. 53(2). 505–511. 33 indexed citations
17.
Kudela, Pavol, Susanne Paukner, Ulrike Beate Mayr, et al.. (2005). Bacterial Ghosts as Novel Efficient Targeting Vehicles for DNA Delivery to the Human Monocyte-Derived Dendritic Cells. Journal of Immunotherapy. 28(2). 136–143. 46 indexed citations
18.
Paukner, Susanne, et al.. (2005). Bacterial ghosts as a novel advanced targeting system for drug and DNA delivery. Expert Opinion on Drug Delivery. 3(1). 11–22. 50 indexed citations
19.
Ebensen, Thomas, Susanne Paukner, Claudia Link, et al.. (2004). Bacterial Ghosts Are an Efficient Delivery System for DNA Vaccines. The Journal of Immunology. 172(11). 6858–6865. 96 indexed citations
20.
Paukner, Susanne, Gudrun Köhl, & Werner Lubitz. (2003). Bacterial ghosts as novel advanced drug delivery systems: antiproliferative activity of loaded doxorubicin in human Caco-2 cells. Journal of Controlled Release. 94(1). 63–74. 91 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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