Michael Hogardt

5.4k citations
112 papers · 3.7k indexed · 1 hit paper · h-index 32

Impact in

Papers in

Michael Hogardt

106 papers receiving 3.6k citations

Hit Papers

Pretreatment of Mice with Streptomycin Provides aSalmonella entericaSerovar Typhimurium Colitis Model That Allows Analysis of Both Pathogen and Host 2003 · 809 citations
8092003202620102018250500750

Peers

Michael Hogardt
Comparison fields: 5 of 127
  • Molecular Medicine 899
  • Endocrinology 827
  • Applied Microbiology and Biotechnology 185
  • Infectious Diseases 971
  • Clinical Biochemistry 291
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Jung‐Chung Lin Taiwan
Sofia Maraki Greece
Claude–James Soussy France
Rebekah DeVinney Canada
Tsuyoshi Sekizuka Japan
Jong Hee Shin South Korea
Markus Hilty Switzerland
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Michael Hogardt relative to Bryan Coburn Canada Bryan Coburn's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Hogardt

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hogardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20231
4 20231
5 20220
6 20221
7 202215
8 20219
9 2020127
10 201833
11 201731
12 201571
13 201417
14 201410
15 201222
16 20088
17 20085
18 200812
19 200631
20 200616

About Michael Hogardt

Michael Hogardt is a scholar working on Molecular Medicine, Endocrinology, Applied Microbiology and Biotechnology, Infectious Diseases and Clinical Biochemistry, having authored 112 papers that have together received 3.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (33 papers), Mycobacterium research and diagnosis (21 papers), Cystic Fibrosis Research Advances (21 papers), Bacterial biofilms and quorum sensing (12 papers), Bacterial Identification and Susceptibility Testing (11 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Tuberculosis Research and Epidemiology (10 papers) and Neutropenia and Cancer Infections (10 papers). The work is most often cited by research in Molecular Medicine (899 citations), Endocrinology (827 citations), Applied Microbiology and Biotechnology (185 citations), Infectious Diseases (971 citations) and Clinical Biochemistry (291 citations). Michael Hogardt has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Jürgen Heesemann, Holger Rüssmann, Klaus Pfeffer, Siegfried Hapfelmeier, Manfred Rohde, Wolf‐Dietrich Hardt, Marcus Kremer, Manja Barthel, Leticia Quintanilla-Martı́nez and Volkhard A. J. Kempf. Their work appears in journals such as Journal of Clinical Microbiology, International Journal of Medical Microbiology, Infection, International Journal of Infectious Diseases and Eurosurveillance.

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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