Ingo Klare

6.6k citations
98 papers · 4.4k indexed · h-index 36

Impact in

Papers in

Ingo Klare

97 papers receiving 4.2k citations

Peers

Ingo Klare
Comparison fields: 5 of 130
  • Clinical Biochemistry 1.4k
  • Molecular Medicine 918
  • Infectious Diseases 2.5k
  • Applied Microbiology and Biotechnology 151
  • Food Science 1.2k
Replace Janetta Top with:
Janetta Top Netherlands
Andrea T. Feßler Germany
Max Heck Netherlands
Damian C. Melles∗ Netherlands
Kavindra V. Singh United States
Albert J. de Neeling Netherlands
Robin Köck Germany
Henrik Westh Denmark
Marta Aires-de-Sousa Portugal
Andreas Petersen Denmark
Ingo Klare relative to Janetta Top Netherlands Janetta Top's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Ingo Klare

Since Specialization
Citations

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

Fields of papers citing papers by Ingo Klare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ingo Klare, 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 Ingo Klare Line = papers co-authored together Ingo Klare links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007284
2 1995256
3 2005217
4 1995216
5 1999207
6 2003205
7 2003196
8 2005132
9 2007132
10 2015104
11 2013102
12 200598
13 201197
14 199392
15 200489
16 201188
17 200884
18 199379
19 200063
20 199262

About Ingo Klare

Ingo Klare is a scholar working on Clinical Biochemistry, Infectious Diseases, Molecular Medicine, Applied Microbiology and Biotechnology and Endocrinology, having authored 98 papers that have together received 4.4k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (73 papers), Bacterial Identification and Susceptibility Testing (44 papers), Antibiotic Resistance in Bacteria (21 papers), Streptococcal Infections and Treatments (15 papers), Probiotics and Fermented Foods (15 papers), Bacterial biofilms and quorum sensing (11 papers), Mycobacterium research and diagnosis (9 papers) and Antifungal resistance and susceptibility (8 papers). The work is most often cited by research in Clinical Biochemistry (1.4k citations), Molecular Medicine (918 citations), Infectious Diseases (2.5k citations), Applied Microbiology and Biotechnology (151 citations) and Food Science (1.2k citations). Ingo Klare has collaborated with scholars based in Germany, Netherlands and Belgium. Frequent co-authors include Wolfgang Witte, Guido Werner, Carola Konstabel, H. Claus, H. Heier, Rolf Reissbrodt, Carola Fleige, Geert Huys, Jennifer K. Bender and G Böhme. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Journal of Clinical Microbiology, Microbial Drug Resistance, International Journal of Antimicrobial Agents and International Journal of Medical Microbiology.

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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