Anne Schmitt‐Hoffmann

1.8k citations
43 papers · 1.5k · h-index 23

Impact in

Papers in

    • Antifungal resistance and susceptibility 7
    • Antimicrobial Resistance in Staphylococcus 7
    • Antibiotics Pharmacokinetics and Efficacy 11
    • Pharmacogenetics and Drug Metabolism 6

Anne Schmitt‐Hoffmann

43 papers receiving 1.5k citations

Peers

Anne Schmitt‐Hoffmann
Comparison fields: 5 of 90
  • Molecular Medicine 232
  • Infectious Diseases 819
  • Applied Microbiology and Biotechnology 53
  • Pharmacology 408
  • Epidemiology 556
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Citations per field
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Citations per year

Countries citing papers authored by Anne Schmitt‐Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Anne Schmitt‐Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne Schmitt‐Hoffmann. 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 Anne Schmitt‐Hoffmann. The network helps show where Anne Schmitt‐Hoffmann may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005140
2 2005118
3 201693
4 200889
5 200487
6 201586
7 200672
8 200470
9 200468
10 200960
11 201158
12 201656
13 200355
14 200445
15 200444
16 201138
17 199534
18 199534
19 201331
20 199631

About Anne Schmitt‐Hoffmann

Anne Schmitt‐Hoffmann is a scholar working on Infectious Diseases, Pharmacology, Molecular Biology, Epidemiology and Oncology, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (11 papers), Antifungal resistance and susceptibility (7 papers), Antibiotic Resistance in Bacteria (7 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Microtubule and mitosis dynamics (4 papers), Pneumonia and Respiratory Infections (4 papers) and Cancer Treatment and Pharmacology (4 papers). The work is most often cited by research in Molecular Medicine (232 citations), Infectious Diseases (819 citations), Applied Microbiology and Biotechnology (53 citations), Pharmacology (408 citations) and Epidemiology (556 citations). Anne Schmitt‐Hoffmann has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Brigitte Roos, M. Heep, E. Weidekamm, Bindu Murthy, Michael Schleimer, Stuart Shapiro, Thierry Lavé, Angelika Böhme, Oliver A. Cornely and Andrew J. Ullmann. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Clinical Oncology, Journal of Pharmaceutical Sciences, Journal of Medicinal Chemistry and International Journal of Antimicrobial Agents.

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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