Michael Hensel

17.4k total citations · 3 hit papers
223 papers, 13.1k citations indexed

About

Michael Hensel is a scholar working on Food Science, Endocrinology and Ecology. According to data from OpenAlex, Michael Hensel has authored 223 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Food Science, 101 papers in Endocrinology and 64 papers in Ecology. Recurrent topics in Michael Hensel's work include Salmonella and Campylobacter epidemiology (105 papers), Escherichia coli research studies (73 papers) and Bacteriophages and microbial interactions (62 papers). Michael Hensel is often cited by papers focused on Salmonella and Campylobacter epidemiology (105 papers), Escherichia coli research studies (73 papers) and Bacteriophages and microbial interactions (62 papers). Michael Hensel collaborates with scholars based in Germany, United States and United Kingdom. Michael Hensel's co-authors include David W. Holden, Colin Gleeson, Jacqueline E. Shea, Dipshikha Chakravortty, Imke Hansen-Wester, Roman G. Gerlach, Herbert Schmidt, Thomas Nikolaus, Jörg Deiwick and Daniela Jäckel and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael Hensel

216 papers receiving 12.8k citations

Hit Papers

Simultaneous Identificati... 1995 2026 2005 2015 1995 1996 1998 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Hensel 5.7k 5.4k 3.8k 2.5k 2.5k 223 13.1k
David W. Holden 5.3k 0.9× 5.5k 1.0× 5.1k 1.3× 2.2k 0.9× 3.3k 1.3× 186 16.0k
Duncan J. Maskell 4.2k 0.7× 3.1k 0.6× 3.7k 1.0× 2.5k 1.0× 3.0k 1.2× 241 12.5k
Renée M. Tsolis 6.9k 1.2× 4.9k 0.9× 6.5k 1.7× 1.8k 0.7× 3.9k 1.6× 173 17.0k
Fred Heffron 4.7k 0.8× 4.3k 0.8× 5.7k 1.5× 2.6k 1.0× 1.7k 0.7× 129 13.0k
Wolf‐Dietrich Hardt 6.6k 1.2× 5.5k 1.0× 7.8k 2.1× 3.4k 1.3× 4.6k 1.8× 241 18.6k
Brendan W. Wren 4.1k 0.7× 2.4k 0.4× 5.8k 1.5× 2.8k 1.1× 5.7k 2.3× 356 15.9k
Éric Oswald 2.5k 0.4× 5.6k 1.0× 4.7k 1.2× 1.3k 0.5× 3.4k 1.4× 199 11.4k
Vanessa Sperandio 3.0k 0.5× 6.2k 1.2× 7.5k 2.0× 1.5k 0.6× 3.7k 1.5× 138 13.9k
David A. Rasko 2.1k 0.4× 4.9k 0.9× 6.6k 1.7× 2.3k 0.9× 2.8k 1.1× 195 13.5k
Carmen Buchrieser 3.0k 0.5× 5.7k 1.1× 6.3k 1.6× 1.0k 0.4× 2.4k 1.0× 194 14.4k

Countries citing papers authored by Michael Hensel

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hensel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Hensel

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hensel. A scholar is included among the top collaborators of Michael Hensel 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 Michael Hensel. Michael Hensel 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
2.
Zhang, Kaiyi, Urška Repnik, Michael Hensel, et al.. (2024). Non-professional efferocytosis of Salmonella-infected intestinal epithelial cells in the neonatal host. The Journal of Experimental Medicine. 221(3). 6 indexed citations
3.
Hansmeier, Nicole, et al.. (2023). Manipulation of microvillar proteins during Salmonella enterica invasion results in brush border effacement and actin remodeling. Frontiers in Cellular and Infection Microbiology. 13. 1137062–1137062. 7 indexed citations
4.
Liss, Viktoria, Guoting Qin, Chengzhi Cai, et al.. (2023). Intralumenal docking of connexin 36 channels in the ER isolates mistrafficked protein. Journal of Biological Chemistry. 299(11). 105282–105282. 3 indexed citations
5.
Liss, Viktoria, et al.. (2021). Single cell analyses reveal distinct adaptation of typhoidal and non-typhoidal Salmonella enterica serovars to intracellular lifestyle. PLoS Pathogens. 17(6). e1009319–e1009319. 13 indexed citations
6.
Hensel, Michael, et al.. (2021). Single‐cell analyses reveal phosphate availability as critical factor for nutrition of Salmonella enterica within mammalian host cells. Cellular Microbiology. 23(10). e13374–e13374. 11 indexed citations
7.
Schulte, Marc, et al.. (2020). Fluorescent protein‐based reporters reveal stress response of intracellular Salmonella enterica at level of single bacterial cells. Cellular Microbiology. 23(3). e13293–e13293. 13 indexed citations
8.
Hensel, Michael, et al.. (2020). Self-Labeling Enzyme Tags for Translocation Analyses of Salmonella Effector Proteins. Methods in molecular biology. 2182. 67–82.
10.
Weiler, Sigrid, C. Egerer-Sieber, Stefanie Hoffmann, et al.. (2019). Structural and functional characterization of SiiA, an auxiliary protein from the SPI4‐encoded type 1 secretion system from Salmonella enterica. Molecular Microbiology. 112(5). 1403–1422. 10 indexed citations
11.
Noster, Janina, Nicole Hansmeier, Marcus Persicke, et al.. (2019). Blocks in Tricarboxylic Acid Cycle of Salmonella enterica Cause Global Perturbation of Carbon Storage, Motility, and Host-Pathogen Interaction. mSphere. 4(6). 9 indexed citations
12.
Zhang, Kaiyi, Monika Nietschke, Natalia Torow, et al.. (2018). Minimal SPI1-T3SS effector requirement for Salmonella enterocyte invasion and intracellular proliferation in vivo. PLoS Pathogens. 14(3). e1006925–e1006925. 64 indexed citations
13.
Renault, Thibaud T., Tobias Dietsche, Eric J. C. Gálvez, et al.. (2017). A flagellum-specific chaperone facilitates assembly of the core type III export apparatus of the bacterial flagellum. PLoS Biology. 15(8). e2002267–e2002267. 47 indexed citations
14.
Hansmeier, Nicole, et al.. (2014). Salmonella enterica Invasion of Polarized Epithelial Cells Is a Highly Cooperative Effort. Infection and Immunity. 82(6). 2657–2667. 48 indexed citations
15.
Xu, Xin, Wael A. H. Hegazy, Linjie Guo, et al.. (2014). Effective Cancer Vaccine Platform Based on Attenuated Salmonella and a Type III Secretion System. Cancer Research. 74(21). 6260–6270. 57 indexed citations
16.
Manuel, Edwin R., Teodora Kaltcheva, Hidenobu Ishizaki, et al.. (2011). Enhancement of Cancer Vaccine Therapy by Systemic Delivery of a Tumor-Targeting Salmonella- Based STAT3 shRNA Suppresses the Growth of Established Melanoma Tumors. Cancer Research. 71(12). 4183–4191. 70 indexed citations
17.
Schlumberger, Markus C., et al.. (2009). Effect of the O-Antigen Length of Lipopolysaccharide on the Functions of Type III Secretion Systems in Salmonella enterica. Infection and Immunity. 77(12). 5458–5470. 71 indexed citations
18.
19.
Schmidt, Herbert & Michael Hensel. (2004). Pathogenicity Islands in BacterialPathogenesis. Clinical Microbiology Reviews. 17(1). 14–56. 493 indexed citations
20.
Freeman, Jeremy A., et al.. (2002). SpiC Is Required for Translocation of Salmonella Pathogenicity Island 2 Effectors and Secretion of Translocon Proteins SseB and SseC. Journal of Bacteriology. 184(18). 4971–4980. 67 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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