Tim N. Mak

1.3k total citations
18 papers, 1.0k citations indexed

About

Tim N. Mak is a scholar working on Molecular Biology, Dermatology and Epidemiology. According to data from OpenAlex, Tim N. Mak has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Dermatology and 6 papers in Epidemiology. Recurrent topics in Tim N. Mak's work include Acne and Rosacea Treatments and Effects (7 papers), Gut microbiota and health (5 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Tim N. Mak is often cited by papers focused on Acne and Rosacea Treatments and Effects (7 papers), Gut microbiota and health (5 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Tim N. Mak collaborates with scholars based in Germany, United States and Denmark. Tim N. Mak's co-authors include Holger Brüggemann, Thomas F. Meyer, Karen S. Sfanos, Monika Schmid, Hans‐Joachim Mollenkopf, Volker Brinkmann, Shu‐Han Yu, Angelo M. De Marzo, Alexander Ross and Peter R. Jungblut and has published in prestigious journals such as The Journal of Immunology, Gastroenterology and Scientific Reports.

In The Last Decade

Tim N. Mak

18 papers receiving 985 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tim N. Mak Germany 13 391 280 213 174 167 18 1.0k
Martin P. Alphonse United States 16 260 0.7× 216 0.8× 105 0.5× 121 0.7× 47 0.3× 39 798
Leticia Monin United States 15 288 0.7× 98 0.3× 366 1.7× 135 0.8× 99 0.6× 19 1.4k
Behnam Kalali Germany 14 330 0.8× 193 0.7× 103 0.5× 380 2.2× 52 0.3× 23 1.1k
Monica Cricca Italy 18 393 1.0× 82 0.3× 533 2.5× 218 1.3× 51 0.3× 63 1.1k
Aayushi Uberoi United States 14 241 0.6× 234 0.8× 338 1.6× 82 0.5× 53 0.3× 22 936
Simo Huang United States 19 740 1.9× 112 0.4× 130 0.6× 45 0.3× 51 0.3× 44 1.4k
David A. Bergin Ireland 17 371 0.9× 80 0.3× 118 0.6× 56 0.3× 68 0.4× 27 1.6k
Shaomin Hu United States 14 272 0.7× 125 0.4× 120 0.6× 65 0.4× 26 0.2× 41 999
Andrea Koreck Hungary 19 215 0.5× 771 2.8× 187 0.9× 87 0.5× 33 0.2× 42 1.5k
Aoi Akitsu Japan 9 240 0.6× 156 0.6× 115 0.5× 69 0.4× 67 0.4× 16 1.2k

Countries citing papers authored by Tim N. Mak

Since Specialization
Citations

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

Fields of papers citing papers by Tim N. Mak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim N. Mak. 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 Tim N. Mak. The network helps show where Tim N. Mak may publish in the future.

Co-authorship network of co-authors of Tim N. Mak

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

All Works

18 of 18 papers shown
1.
Bendik, Igor, Erik Eckhardt, Tim N. Mak, et al.. (2025). A Postbiotic Derived from Lactobacillaceae Protects Intestinal Barrier Function in a Challenge Model Using Colon Organoid Tubules. Foods. 14(7). 1173–1173. 2 indexed citations
2.
Nijkamp, Jurgen F., Rajkumar Sasidharan, Julia K. Bird, et al.. (2025). Gut health predictive indices linking gut microbiota dysbiosis with healthy state, mild gut discomfort, and inflammatory bowel disease phenotypes using gut microbiome profiling. Microbiology Spectrum. 13(8). e0027125–e0027125. 1 indexed citations
3.
Rehman, Ateequr, et al.. (2023). Development of a workflow for the selection, identification and optimization of lactic acid bacteria with high γ-aminobutyric acid production. Scientific Reports. 13(1). 13663–13663. 11 indexed citations
4.
5.
Werner, Jessica L., et al.. (2016). Induction of Pulmonary Granuloma Formation by Propionibacterium acnes Is Regulated by MyD88 and Nox2. American Journal of Respiratory Cell and Molecular Biology. 56(1). 121–130. 34 indexed citations
6.
Mak, Tim N. & Holger Brüggemann. (2016). Vimentin in Bacterial Infections. Cells. 5(2). 18–18. 49 indexed citations
7.
Werner, Jessica L., et al.. (2015). Regulation of granuloma formation via Myd88 and Nox2 in a model of pulmonary sarcoidosis (MPF5P.741). The Journal of Immunology. 194(1_Supplement). 137.4–137.4. 1 indexed citations
8.
Kraiczy, Judith, Komal Nayak, Alexander Ross, et al.. (2015). Assessing DNA methylation in the developing human intestinal epithelium: potential link to inflammatory bowel disease. Mucosal Immunology. 9(3). 647–658. 53 indexed citations
9.
Mak, Tim N., Monika Schmid, Elżbieta Brzuszkiewicz, et al.. (2013). Comparative genomics reveals distinct host-interacting traits of three major human-associated propionibacteria. BMC Genomics. 14(1). 640–640. 40 indexed citations
10.
Fischer, Natalie, et al.. (2013). Deciphering the Intracellular Fate ofPropionibacterium acnesin Macrophages. BioMed Research International. 2013. 1–11. 46 indexed citations
11.
Vaghasia, Ajay, Shu‐Han Yu, Tim N. Mak, et al.. (2013). A mouse model of chronic prostatic inflammation using a human prostate cancer‐derived isolate of Propionibacterium acnes. The Prostate. 73(9). 1007–1015. 104 indexed citations
12.
Mak, Tim N., Karen S. Sfanos, & Holger Brüggemann. (2013). Draft Genome Sequences of Two Strains of Propionibacterium acnes Isolated from Radical Prostatectomy Specimens. Genome Announcements. 1(6). 6 indexed citations
13.
Mak, Tim N., Shu‐Han Yu, Angelo M. De Marzo, Holger Brüggemann, & Karen S. Sfanos. (2012). Multilocus sequence typing (MLST) analysis of Propionibacterium acnes isolates from radical prostatectomy specimens. The Prostate. 73(7). 770–777. 51 indexed citations
14.
Mak, Tim N., Natalie Fischer, Britta Laube, et al.. (2012). Propionibacterium acneshost cell tropism contributes to vimentin-mediated invasion and induction of inflammation. Cellular Microbiology. 14(11). 1720–1733. 43 indexed citations
15.
Mak, Tim N., Ursula Zimny‐Arndt, Monika Schmid, et al.. (2010). Proteomic identification of secreted proteins of Propionibacterium acnes. BMC Microbiology. 10(1). 230–230. 139 indexed citations
16.
Mak, Tim N., Robert Hurwitz, Lesley A. Ogilvie, et al.. (2010). Mutagenesis of Propionibacterium acnes and analysis of two CAMP factor knock-out mutants. Journal of Microbiological Methods. 83(2). 211–216. 36 indexed citations
17.
Fehri, Lina Fassi, Tim N. Mak, Britta Laube, et al.. (2010). Prevalence of Propionibacterium acnes in diseased prostates and its inflammatory and transforming activity on prostate epithelial cells. International Journal of Medical Microbiology. 301(1). 69–78. 135 indexed citations
18.
Fehri, Lina Fassi, Cindy Rechner, Tim N. Mak, et al.. (2009). Helicobacterpylori-induced modification of the histone H3 phosphorylation status in gastric epithelial cells reflects its impact on cell cycle regulation. Epigenetics. 4(8). 577–586. 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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