Mathias Folwaczny

738 total citations
8 papers, 412 citations indexed

About

Mathias Folwaczny is a scholar working on Immunology, Epidemiology and Periodontics. According to data from OpenAlex, Mathias Folwaczny has authored 8 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Epidemiology and 2 papers in Periodontics. Recurrent topics in Mathias Folwaczny's work include Immune Response and Inflammation (3 papers), Oral microbiology and periodontitis research (2 papers) and Endodontics and Root Canal Treatments (2 papers). Mathias Folwaczny is often cited by papers focused on Immune Response and Inflammation (3 papers), Oral microbiology and periodontitis research (2 papers) and Endodontics and Root Canal Treatments (2 papers). Mathias Folwaczny collaborates with scholars based in Germany, Netherlands and Austria. Mathias Folwaczny's co-authors include Reinhard Hickel, Jürgen Glas, Ekaterini Paschos, Karin Christine Huth, Alexander Crispin, Albert Mehl, Christopher Jordan, Bruno G. Loos, Arne S. Schäefer and Henrik Dommisch and has published in prestigious journals such as Journal of Dental Research, Journal Of Clinical Periodontology and Journal of Endodontics.

In The Last Decade

Mathias Folwaczny

8 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathias Folwaczny Germany	7	162	145	105	67	53	8	412
Xingzhu Dai China	11	102 0.6×	99 0.7×	42 0.4×	75 1.1×	38 0.7×	21	335
J. Malcolm United Kingdom	10	31 0.2×	308 2.1×	128 1.2×	33 0.5×	41 0.8×	15	485
Carol N. Brooks United States	15	112 0.7×	454 3.1×	105 1.0×	41 0.6×	250 4.7×	20	664
Andreas Moritz Austria	9	189 1.2×	131 0.9×	71 0.7×	60 0.9×	5 0.1×	15	520
Michaela Klappacher Austria	9	22 0.1×	158 1.1×	342 3.3×	14 0.2×	46 0.9×	9	562
Barbara Shearer United States	6	45 0.3×	243 1.7×	23 0.2×	5 0.1×	140 2.6×	8	339
Cosimo Rupe Italy	10	61 0.4×	103 0.7×	7 0.1×	30 0.4×	15 0.3×	26	299
Sudhir R Patil India	9	81 0.5×	174 1.2×	18 0.2×	5 0.1×	55 1.0×	15	343
Tamer Alpagot United States	11	54 0.3×	416 2.9×	16 0.2×	9 0.1×	222 4.2×	14	520
Penny Hodge United Kingdom	7	30 0.2×	236 1.6×	48 0.5×	5 0.1×	50 0.9×	13	320

Countries citing papers authored by Mathias Folwaczny

Since Specialization

Citations

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

Fields of papers citing papers by Mathias Folwaczny

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Folwaczny

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

All Works

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8 of 8 papers shown

1.

Schäefer, Arne S., Arne Jochens, Henrik Dommisch, et al.. (2014). A large candidate‐gene association study suggests genetic variants at IRF5 and PRDM1 to be associated with aggressive periodontitis. Journal Of Clinical Periodontology. 41(12). 1122–1131. 24 indexed citations

2.

Richter, G., Christian Graetz, Michael Nothnagel, et al.. (2012). Common genetic risk variants of TLR2 are not associated with periodontitis in large European case‐control populations. Journal Of Clinical Periodontology. 39(4). 315–322. 7 indexed citations

3.

Schäefer, Arne S., G. M. Richter, Henrik Dommisch, et al.. (2010). CDKN2BAS is associated with periodontitis in different European populations and is activated by bacterial infection. Journal of Medical Genetics. 48(1). 38–47. 52 indexed citations

4.

Schäefer, Arne S., G. Richter, Michael Nothnagel, et al.. (2009). A 3′ UTR transition within DEFB1 is associated with chronic and aggressive periodontitis. Genes and Immunity. 11(1). 45–54. 57 indexed citations

5.

Wetzke, Martin, et al.. (2008). MICA*055: a new allele with eight GCT repeats in the exon 5 microsatellite. Tissue Antigens. 72(4). 410–411. 2 indexed citations

6.

Huth, Karin Christine, et al.. (2005). Effectiveness of 4 Pulpotomy Techniques—Randomized Controlled Trial. Journal of Dental Research. 84(12). 1144–1148. 120 indexed citations

7.

Folwaczny, Mathias, et al.. (2004). Toll-like receptor (TLR) 2 and 4 mutations in periodontal disease. Clinical & Experimental Immunology. 135(2). 330–335. 103 indexed citations

8.

Folwaczny, Mathias, Albert Mehl, Christopher Jordan, & Reinhard Hickel. (2002). Antibacterial Effects of Pulsed Nd:YAG Laser Radiation at Different Energy Settings in Root Canals. Journal of Endodontics. 28(1). 24–29. 47 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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