Marcel Feig

767 citations
32 papers · 515 · h-index 14

Impact in

Papers in

    • Influenza Virus Research Studies 6
    • Virology and Viral Diseases 4
    • Urinary Tract Infections Management 4
    • Pneumonia and Respiratory Infections 3
    • Antimicrobial Resistance in Staphylococcus 5

Marcel Feig

30 papers receiving 492 citations

Peers

Marcel Feig
Comparison fields: 5 of 67
  • Applied Microbiology and Biotechnology 54
  • Molecular Medicine 77
  • Health 63
  • Epidemiology 239
  • Infectious Diseases 113
Replace Annicka Reuß with:
Annicka Reuß Germany
Birgitta Schweickert Germany
Sanjoy Datta Belgium
Elizabeth Mathai India
Sergio Fanella Canada
Biniam Mathewos Ethiopia
R Heathcock United Kingdom
Sergio Carbonara Italy
Hayati Demiraslan Türkiye
Martyn Tilse Australia
Marcel Feig relative to Annicka Reuß Germany Annicka Reuß's profile →
Citations per field
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Annicka Reuß · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Marcel Feig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marcel Feig Line = papers co-authored together Marcel Feig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201356
2 202147
3 201740
4 201833
5 201832
6 201731
7 201429
8 201226
9 201824
10 201023
11 201021
12 202020
13 201117
14 202016
15 201112
16 202111
17 201111
18 202211
19 201011
20
[MRSA and ESBL in outpatient: development from 2008 up to 2012 and socio demographic differences].
201510

About Marcel Feig

Marcel Feig is a scholar working on Epidemiology, Infectious Diseases, Health, Applied Microbiology and Biotechnology and Molecular Medicine, having authored 32 papers that have together received 515 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (8 papers), Antibiotic Use and Resistance (7 papers), Influenza Virus Research Studies (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Virology and Viral Diseases (4 papers), Urinary Tract Infections Management (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Pneumonia and Respiratory Infections (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (54 citations), Molecular Medicine (77 citations), Health (63 citations), Epidemiology (239 citations) and Infectious Diseases (113 citations). Marcel Feig has collaborated with scholars based in Germany, Sweden and United States. Frequent 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. Their work appears in journals such as PLoS ONE, Antimicrobial Resistance and Infection Control, Eurosurveillance, BMC Public Health and Vaccine.

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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