Jan Schulze‐Luehrmann

1.3k total citations
25 papers, 985 citations indexed

About

Jan Schulze‐Luehrmann is a scholar working on Parasitology, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, Jan Schulze‐Luehrmann has authored 25 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Parasitology, 12 papers in Public Health, Environmental and Occupational Health and 7 papers in Molecular Biology. Recurrent topics in Jan Schulze‐Luehrmann's work include Vector-borne infectious diseases (11 papers), Mosquito-borne diseases and control (9 papers) and NF-κB Signaling Pathways (4 papers). Jan Schulze‐Luehrmann is often cited by papers focused on Vector-borne infectious diseases (11 papers), Mosquito-borne diseases and control (9 papers) and NF-κB Signaling Pathways (4 papers). Jan Schulze‐Luehrmann collaborates with scholars based in Germany, United States and Portugal. Jan Schulze‐Luehrmann's co-authors include Sankar Ghosh, Anja Lührmann, Mithilesh Kumar Jha, Andris Avots, Edgar Serfling, Regine Schneider‐Stock, Khuloud Bajbouj, Friederike Berberich‐Siebelt, Sergei Chuvpilo and Anneliese Schimpl and has published in prestigious journals such as Blood, Immunity and PLoS ONE.

In The Last Decade

Jan Schulze‐Luehrmann

24 papers receiving 972 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Schulze‐Luehrmann Germany 16 430 367 201 171 156 25 985
Ezra Aksoy Belgium 20 449 1.0× 814 2.2× 167 0.8× 187 1.1× 92 0.6× 24 1.3k
Annelise G. Snyder United States 10 760 1.8× 567 1.5× 132 0.7× 163 1.0× 40 0.3× 11 1.2k
Zhikang Qian China 24 585 1.4× 280 0.8× 107 0.5× 184 1.1× 118 0.8× 50 1.3k
Ilze Matise United States 21 945 2.2× 82 0.2× 230 1.1× 300 1.8× 89 0.6× 41 1.6k
Rama P. Cherla United States 21 350 0.8× 424 1.2× 61 0.3× 171 1.0× 54 0.3× 26 1.1k
Congwen Wei China 19 616 1.4× 554 1.5× 131 0.7× 139 0.8× 29 0.2× 36 1.2k
Matthew F. Barber United States 9 417 1.0× 153 0.4× 58 0.3× 116 0.7× 39 0.3× 15 961
Andreá Schneider Germany 19 521 1.2× 338 0.9× 64 0.3× 121 0.7× 37 0.2× 31 1.2k
Georg Haecker Germany 5 513 1.2× 213 0.6× 73 0.4× 138 0.8× 32 0.2× 6 812
Baoqin Xuan China 19 920 2.1× 181 0.5× 370 1.8× 160 0.9× 74 0.5× 34 1.4k

Countries citing papers authored by Jan Schulze‐Luehrmann

Since Specialization
Citations

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

Fields of papers citing papers by Jan Schulze‐Luehrmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Schulze‐Luehrmann

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Schulze‐Luehrmann. A scholar is included among the top collaborators of Jan Schulze‐Luehrmann 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 Schulze‐Luehrmann. Jan Schulze‐Luehrmann 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.
Schulze‐Luehrmann, Jan, et al.. (2025). Acid Tolerance of Coxiella burnetii Is Strain-Specific and Might Depend on Stomach Content. Pathogens. 14(3). 272–272.
2.
Bauer, Benjamin U., Michael R. Knittler, Christian Berens, et al.. (2023). Interdisciplinary studies on Coxiella burnetii: From molecular to cellular, to host, to one health research. International Journal of Medical Microbiology. 313(6). 151590–151590. 13 indexed citations
3.
Schulze‐Luehrmann, Jan, Katja Dettmer, Peter J. Oefner, et al.. (2023). Bovine blood derived macrophages are unable to control Coxiella burnetii replication under hypoxic conditions. Frontiers in Immunology. 14. 960927–960927. 2 indexed citations
4.
Schulze‐Luehrmann, Jan, et al.. (2023). Cell death induction facilitates egress of Coxiella burnetii from infected host cells at late stages of infection. Molecular Microbiology. 121(3). 513–528. 1 indexed citations
5.
Schulze‐Luehrmann, Jan, Benedikt Schmid, Daniele Hasler, et al.. (2022). The Coxiella burnetii T4SS effector protein AnkG hijacks the 7SK small nuclear ribonucleoprotein complex for reprogramming host cell transcription. PLoS Pathogens. 18(2). e1010266–e1010266. 15 indexed citations
7.
Schulze‐Luehrmann, Jan, Franck Cantet, Paul A. Beare, et al.. (2020). The Coxiella burnetii T4SS Effector AnkF Is Important for Intracellular Replication. Frontiers in Cellular and Infection Microbiology. 10. 559915–559915. 18 indexed citations
8.
Fischer, Fabian, Jan Schulze‐Luehrmann, Katja Dettmer, et al.. (2019). Limitation of TCA Cycle Intermediates Represents an Oxygen-Independent Nutritional Antibacterial Effector Mechanism of Macrophages. Cell Reports. 26(13). 3502–3510.e6. 21 indexed citations
9.
Mahli, A, M Saugspier, A. Koch, et al.. (2017). ERK activation and autophagy impairment are central mediators of irinotecan-induced steatohepatitis. Gut. 67(4). 746–756. 49 indexed citations
10.
Schulze‐Luehrmann, Jan, et al.. (2017). Coxiella burnetii as a useful tool to investigate bacteria-friendly host cell compartments. International Journal of Medical Microbiology. 308(1). 77–83. 10 indexed citations
12.
Cid, Vı́ctor J., et al.. (2016). Studying Coxiella burnetii Type IV Substrates in the Yeast Saccharomyces cerevisiae: Focus on Subcellular Localization and Protein Aggregation. PLoS ONE. 11(1). e0148032–e0148032. 11 indexed citations
13.
Benderska, Natalya, Tilman T. Rau, Jan Schulze‐Luehrmann, et al.. (2014). DAPK-HSF1 interaction as a new positive feedback loop for TNF-induced apoptosis in colorectal cancer cells. Journal of Cell Science. 127(Pt 24). 5273–87. 20 indexed citations
14.
Park, Sung‐Gyoo, Meixiao Long, Jung‐Ah Kang, et al.. (2013). The Kinase PDK1 Is Essential for B-Cell Receptor Mediated Survival Signaling. PLoS ONE. 8(2). e55378–e55378. 19 indexed citations
15.
Bajbouj, Khuloud, et al.. (2012). The anticancer effect of saffron in two p53 isogenic colorectal cancer cell lines. BMC Complementary and Alternative Medicine. 12(1). 69–69. 60 indexed citations
16.
Bajbouj, Khuloud, Christian Mawrin, Roland Hartig, et al.. (2012). P53-dependent antiproliferative and pro-apoptotic effects of trichostatin A (TSA) in glioblastoma cells. Journal of Neuro-Oncology. 107(3). 503–516. 35 indexed citations
17.
Schulze‐Luehrmann, Jan & Sankar Ghosh. (2006). Antigen-Receptor Signaling to Nuclear Factor κB. Immunity. 25(5). 701–715. 246 indexed citations
18.
Lührmann, Anja, et al.. (2004). Necrotic Death ofRhodococcus equi-Infected Macrophages Is Regulated by Virulence-Associated Plasmids. Infection and Immunity. 72(2). 853–862. 54 indexed citations
19.
Serfling, Edgar, Friederike Berberich‐Siebelt, Andris Avots, et al.. (2003). NFAT and NF-κB factors—the distant relatives. The International Journal of Biochemistry & Cell Biology. 36(7). 1166–1170. 63 indexed citations
20.
Chuvpilo, Sergei, Eriks Jankevics, Askar M. Akimzhanov, et al.. (2002). Autoregulation of NFATc1/A Expression Facilitates Effector T Cells to Escape from Rapid Apoptosis. Immunity. 16(6). 881–895. 164 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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