G Ackermann

1.2k citations
38 papers · 1k · h-index 20

Impact in

Papers in

    • Clostridium difficile and Clostridium perfringens research 17
    • Antimicrobial Resistance in Staphylococcus 2
    • SARS-CoV-2 detection and testing 2
    • SARS-CoV-2 and COVID-19 Research 1
    • Antibiotic Resistance in Bacteria 7

G Ackermann

37 papers receiving 931 citations

Peers

G Ackermann
Comparison fields: 5 of 70
  • Infectious Diseases 559
  • Applied Microbiology and Biotechnology 51
  • Molecular Medicine 137
  • Pharmacology 134
  • Clinical Biochemistry 39
Replace Ana María Sánchez Díaz with:
Ana María Sánchez Díaz Spain
Yu-Lin Lee Taiwan
Kevin W. Ward United States
M. Łuczak Poland
Matthew G. Stilwell United States
Andrew Henderson Australia
James A. Poupard United States
Razieh Kebriaei United States
Philip M. Tierno United States
Elizabeth L. Alexander United States
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Citations per field
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Citations per year

Countries citing papers authored by G Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by G Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003104
2 200491
3 200170
4 200060
5 200360
6 200858
7 200849
8 200748
9 200742
10 200540
11 200339
12 200131
13 201028
14 202027
15 199924
16 202023
17 200022
18 200122
19 200120
20 200320

About G Ackermann

G Ackermann is a scholar working on Infectious Diseases, Molecular Medicine, Clinical Biochemistry, Pharmacology and Endocrinology, having authored 38 papers that have together received 1k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (17 papers), Antibiotic Resistance in Bacteria (7 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Bacterial Identification and Susceptibility Testing (5 papers), Gut microbiota and health (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), SARS-CoV-2 detection and testing (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Infectious Diseases (559 citations), Applied Microbiology and Biotechnology (51 citations), Molecular Medicine (137 citations), Pharmacology (134 citations) and Clinical Biochemistry (39 citations). G Ackermann has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Arne Christian Rodloff, Reiner Schaumann, Marina C. Claros, Stuart H. Cohen, Joseph Silva, Yajarayma J. Tang, Ellie J. C. Goldstein, Peter Heisig, Jeffrey P. Henderson and Udo Reischl. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Infection, Antimicrobial Agents and Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases and Diagnostic Microbiology and Infectious Disease.

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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