Anne Schmitt‐Hoffmann

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

Impact in

Papers in

Anne Schmitt‐Hoffmann

43 papers receiving 1.4k citations

Peers

Anne Schmitt‐Hoffmann
Comparison fields: 5 of 91
  • Molecular Medicine 276
  • Infectious Diseases 847
  • Applied Microbiology and Biotechnology 61
  • Pharmacology 451
  • Epidemiology 669
Replace Robert Kulawy with:
Robert Kulawy United States
Guy W. Amsden United States
J Fung-Tomc United States
Bharat Damle United States
Gopal Krishna United States
Scott J. Hecker United States
Jon G. Sundelof United States
H Kropp United States
Shashikant Srivastava United States
Olivier Petitjean France
Anne Schmitt‐Hoffmann relative to Robert Kulawy United States Robert Kulawy's profile →
Citations per field
00.5×1.5×2.1×
Robert Kulawy · 1×
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-authorship network

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
#Work
1 20171
2 20161
3 201692
4 201331
5 201112
6 20116
7 201138
8 200959
9 20095
10 200888
11 200827
12 200711
13 20072
14 200671
15 20064
16 200426
17 200355
18 19958
19 199534
20 199534

About Anne Schmitt‐Hoffmann

Anne Schmitt‐Hoffmann is a scholar working on Molecular Medicine, Infectious Diseases, Pharmacology, Pharmacology and Pharmaceutical Science, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (12 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), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Pneumonia and Respiratory Infections (4 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Molecular Medicine (276 citations), Infectious Diseases (847 citations), Applied Microbiology and Biotechnology (61 citations), Pharmacology (451 citations) and Epidemiology (669 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, Thomas A. Brown, Stuart Shapiro, Thierry Lavé, Jochen Spickermann and Oliver A. Cornely. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Clinical Oncology, Journal of Pharmaceutical Sciences, Journal of Antimicrobial Chemotherapy and Cancer Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026