Marcel Feig

730 total citations
31 papers, 486 citations indexed

About

Marcel Feig is a scholar working on Epidemiology, Infectious Diseases and Applied Microbiology and Biotechnology. According to data from OpenAlex, Marcel Feig has authored 31 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 10 papers in Infectious Diseases and 10 papers in Applied Microbiology and Biotechnology. Recurrent topics in Marcel Feig's work include Antibiotic Use and Resistance (10 papers), Vaccine Coverage and Hesitancy (8 papers) and Influenza Virus Research Studies (6 papers). Marcel Feig is often cited by papers focused on Antibiotic Use and Resistance (10 papers), Vaccine Coverage and Hesitancy (8 papers) and Influenza Virus Research Studies (6 papers). Marcel Feig collaborates with scholars based in Germany, Sweden and Denmark. Marcel Feig's co-authors include Tim Eckmanns, Ole Wichmann, Thorsten Rieck, Anette Siedler, Ines Noll, Annicka Reuß, Muna Abu Sin, H. Claus, Niklas Willrich and Gabriele Poggensee and has published in prestigious journals such as PLoS ONE, Frontiers in Microbiology and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Marcel Feig

29 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcel Feig Germany 14 288 129 103 84 78 31 486
Annicka Reuß Germany 14 322 1.1× 249 1.9× 58 0.6× 117 1.4× 65 0.8× 30 634
Rasheed Bakare Nigeria 12 292 1.0× 208 1.6× 23 0.2× 38 0.5× 43 0.6× 39 563
Somsak Thamthitiwat Thailand 17 616 2.1× 240 1.9× 30 0.3× 72 0.9× 41 0.5× 33 832
Hayati Demiraslan Türkiye 14 132 0.5× 118 0.9× 27 0.3× 96 1.1× 25 0.3× 37 467
Yu Mi Jo South Korea 13 439 1.5× 121 0.9× 69 0.7× 31 0.4× 12 0.2× 23 570
Biniam Mathewos Ethiopia 13 245 0.9× 186 1.4× 48 0.5× 22 0.3× 40 0.5× 16 767
P Kreidl Austria 12 171 0.6× 178 1.4× 100 1.0× 23 0.3× 16 0.2× 34 499
Vanessa Quan South Africa 18 678 2.4× 300 2.3× 40 0.4× 89 1.1× 62 0.8× 41 1000
Pablo Gabriel United States 13 202 0.7× 257 2.0× 31 0.3× 166 2.0× 45 0.6× 19 853
Pierangelo Clerici Italy 18 403 1.4× 202 1.6× 15 0.1× 61 0.7× 35 0.4× 50 726

Countries citing papers authored by Marcel Feig

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Feig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Feig

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel Feig. A scholar is included among the top collaborators of Marcel Feig 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 Marcel Feig. Marcel Feig 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.
2.
Baum, Jonathan H. J., Felix Reichert, Ines Noll, et al.. (2025). Changes in incidence and epidemiology of antimicrobial resistant pathogens before and during the COVID-19 pandemic in Germany, 2015–2022. BMC Microbiology. 25(1). 51–51. 2 indexed citations
3.
Schweickert, Birgitta, Niklas Willrich, Marcel Feig, et al.. (2025). Kinetic Patterns of Antibiotic Consumption in German Acute Care Hospitals from 2017 to 2023. Antibiotics. 14(3). 316–316.
4.
Ayobami, Olaniyi, Marcel Feig, Ines Noll, et al.. (2022). Germany’s Burden of Disease of Bloodstream Infections Due to Vancomycin-Resistant Enterococcus faecium between 2015–2020. Microorganisms. 10(11). 2273–2273. 9 indexed citations
5.
Reuß, Annicka, Niklas Willrich, Marcel Feig, et al.. (2021). Antimicrobial Resistance and the Spectrum of Pathogens in Dental and Oral-Maxillofacial Infections in Hospitals and Dental Practices in Germany. Frontiers in Microbiology. 12. 676108–676108. 37 indexed citations
6.
Eckmanns, Tim, Heike Kaspar, Roswitha Merle, et al.. (2021). Cluster analysis of resistance combinations in Escherichia coli from different human and animal populations in Germany 2014-2017. PLoS ONE. 16(1). e0244413–e0244413. 11 indexed citations
7.
Rieck, Thorsten, Dorothea Matysiak‐Klose, Wiebke Hellenbrand, et al.. (2019). Umsetzung der Masern- und Pertussisimpfempfehlungen für Erwachsene. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 62(4). 422–432. 8 indexed citations
8.
Klingeberg, Anja, Ines Noll, Niklas Willrich, et al.. (2018). Antibiotic-Resistant E. coli in Uncomplicated Community-Acquired Urinary Tract Infection. Deutsches Ärzteblatt international. 115(29-30). 494–500. 31 indexed citations
9.
Koppe, Uwe, Lars Eric Kroll, Ines Noll, et al.. (2018). Carbapenem non-susceptibility of Klebsiella pneumoniae isolates in hospitals from 2011 to 2016, data from the German Antimicrobial Resistance Surveillance (ARS). Antimicrobial Resistance and Infection Control. 7(1). 71–71. 32 indexed citations
10.
11.
Eckmanns, Tim, Doreen Richter, & Marcel Feig. (2015). [MRSA and ESBL in outpatient: development from 2008 up to 2012 and socio demographic differences].. PubMed. 127(9-10). 399–402. 10 indexed citations
12.
Rieck, Thorsten, Marcel Feig, Yvonne Deleré, & Ole Wichmann. (2014). Utilization of administrative data to assess the association of an adolescent health check-up with human papillomavirus vaccine uptake in Germany. Vaccine. 32(43). 5564–5569. 29 indexed citations
13.
Rieck, Thorsten, Marcel Feig, Tim Eckmanns, et al.. (2013). Vaccination coverage among children in Germany estimated by analysis of health insurance claims data. Human Vaccines & Immunotherapeutics. 10(2). 476–484. 55 indexed citations
14.
Schweickert, Birgitta, et al.. (2012). Daten zur Antibiotikaresistenzlage in Deutschland. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 55(11-12). 1370–1376. 26 indexed citations
15.
Reuß, Annicka, et al.. (2011). Under-Reporting of Measles. Deutsches Ärzteblatt international. 108(12). 191–6. 17 indexed citations
16.
Schweickert, Birgitta, et al.. (2011). MRSA-surveillance in Germany: data from the Antibiotic Resistance Surveillance System (ARS) and the mandatory surveillance of MRSA in blood. European Journal of Clinical Microbiology & Infectious Diseases. 31(8). 1855–1865. 11 indexed citations
17.
Uphoff, Helmut, Matthias an der Heiden, Brunhilde Schweiger, et al.. (2011). Effectiveness of the AS03-Adjuvanted Vaccine against Pandemic Influenza Virus A/(H1N1) 2009 – A Comparison of Two Methods; Germany, 2009/10. PLoS ONE. 6(7). e19932–e19932. 12 indexed citations
18.
Reuß, Annicka, et al.. (2010). Varicella vaccination coverage of children under two years of age in Germany. BMC Public Health. 10(1). 502–502. 20 indexed citations
19.
Feig, Marcel, et al.. (2010). Bestimmung von Impfquoten und Inzidenzen von Erkrankungen anhand von Daten der Kassenärztlichen Vereinigungen. Das Gesundheitswesen. 72(6). 340–346. 11 indexed citations
20.
Reuß, Annicka, Dietmar Walter, Marcel Feig, et al.. (2010). Influenza Vaccination Coverage in the 2004/05, 2005/06, and 2006/07 Seasons. Deutsches Ärzteblatt international. 107(48). 845–50. 22 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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