Daniel F. Sahm
- Molecular Medicine top 0.01%
- Antibiotic Resistance in Bacteria 186
- Applied Microbiology and Biotechnology top 0.01%
- Antibiotic Use and Resistance 101
- Endocrinology top 0.1%
- Clinical Biochemistry top 0.05%
- Bacterial Identification and Susceptibility Testing 64
- Pharmacology top 0.05%
- Antibiotics Pharmacokinetics and Efficacy 134
-
- Antimicrobial Resistance in Staphylococcus 58
-
- Pneumonia and Respiratory Infections 56
- Urinary Tract Infections Management 21
-
- Pharmaceutical and Antibiotic Environmental Impacts 19
- Co-authors
- James A. KarlowskyClyde ThornsberryKrystyna M. KazmierczakMark E. JonesMeredith HackelDeborah C. DraghiSibylle LobMichael S. Gilmore
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Daniel F. Sahm
266 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Medicine 7.7k
- Applied Microbiology and Biotechnology 2.8k
- Endocrinology 2.0k
- Clinical Biochemistry 2.4k
- Pharmacology 4.6k
Countries citing papers authored by Daniel F. Sahm
This map shows the geographic impact of Daniel F. Sahm'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 Daniel F. Sahm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel F. Sahm more than expected).
Fields of papers citing papers by Daniel F. Sahm
This network shows the impact of papers produced by Daniel F. Sahm. 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 Daniel F. Sahm. The network helps show where Daniel F. Sahm may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel F. Sahm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 50 | |
| 14 | 2017 | 186 | |
| 15 | 2016 | 28 | |
| 16 | 2011 | 80 | |
| 17 | 2008 | 24 | |
| 18 | Prevalence in the United States of aac(6 ′ ) - Ib - cr Encoding a Ciprofloxacin-Modifying Enzymebreakdown → | 2006 | 631 |
| 19 | 2003 | 34 | |
| 20 | 2002 | 79 |
About Daniel F. Sahm
Daniel F. Sahm is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 270 papers that have together received 13.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (186 papers), Antibiotics Pharmacokinetics and Efficacy (134 papers), Antibiotic Use and Resistance (101 papers), Bacterial Identification and Susceptibility Testing (64 papers), Antimicrobial Resistance in Staphylococcus (58 papers), Pneumonia and Respiratory Infections (56 papers), Urinary Tract Infections Management (21 papers) and Pharmaceutical and Antibiotic Environmental Impacts (19 papers). The work is most often cited by research in Molecular Medicine (7.7k citations), Applied Microbiology and Biotechnology (2.8k citations) and Endocrinology (2.0k citations). Daniel F. Sahm has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include James A. Karlowsky, Clyde Thornsberry, Krystyna M. Kazmierczak, Mark E. Jones, Meredith Hackel, Deborah C. Draghi, Sibylle Lob, Michael S. Gilmore, Mark M. Huycke and George A. Jacoby. Their work appears in journals such as PLoS ONE, Cancer and Clinical Infectious Diseases.
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.