Marcel Feig

730 citations
31 papers · 486 · h-index 14

Impact in

Papers in

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

Marcel Feig

29 papers receiving 462 citations

Peers

Marcel Feig
Comparison fields: 5 of 74
  • Applied Microbiology and Biotechnology 78
  • Molecular Medicine 84
  • Health 103
  • Clinical Biochemistry 61
  • Epidemiology 288
Replace Annicka Reuß with:
Annicka Reuß Germany
Biniam Mathewos Ethiopia
Pierangelo Clerici Italy
Pablo Gabriel United States
Ulrich von Both Germany
Rasheed Bakare Nigeria
P Kreidl Austria
Éric Farfour France
James M. Crutcher United States
Hayati Demiraslan Türkiye
Marcel Feig relative to Annicka Reuß Germany Annicka Reuß's profile →
Citations per field
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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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201355
2 201738
3 202137
4 201832
5 201831
6 201429
7 201728
8 201226
9 201022
10 201822
11 201020
12 202020
13 201117
14 202015
15 201112
16 202111
17 201111
18 201011
19
[MRSA and ESBL in outpatient: development from 2008 up to 2012 and socio demographic differences].
201510
20 20229

About Marcel Feig

Marcel Feig is a scholar working on Epidemiology, Infectious Diseases, Applied Microbiology and Biotechnology, Health and Clinical Biochemistry, having authored 31 papers that have together received 486 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (10 papers), Vaccine Coverage and Hesitancy (8 papers), Influenza Virus Research Studies (6 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial Identification and Susceptibility Testing (5 papers), Urinary Tract Infections Management (5 papers), Antibiotic Resistance in Bacteria (5 papers) and Pneumonia and Respiratory Infections (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (78 citations), Molecular Medicine (84 citations), Health (103 citations), Clinical Biochemistry (61 citations) and Epidemiology (288 citations). Marcel Feig has collaborated with scholars based in Germany, Sweden and Morocco. 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 Antimicrobial Resistance and Infection Control, PLoS ONE, Journal of Antimicrobial Chemotherapy, Human Vaccines & Immunotherapeutics 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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