Daniel F. Sahm
- Molecular Medicine top 0.01%
- Pharmacology top 0.05%
- Epidemiology top 0.2%
- Infectious Diseases top 0.2%
- Applied Microbiology and Biotechnology top 0.01%
- Co-authors
- James A. KarlowskyClyde ThornsberryKrystyna M. KazmierczakMark E. JonesMeredith HackelDeborah C. DraghiSibylle LobMichael S. Gilmore
- Topics
- Antibiotic Resistance in Bacteria (186 papers)Antibiotics Pharmacokinetics and Efficacy (134 papers)Antibiotic Use and Resistance (101 papers)
- 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
- Pharmacology 4.6k
- Epidemiology 4.4k
- Infectious Diseases 3.1k
- Applied Microbiology and Biotechnology 2.8k
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 of co-authors of Daniel F. Sahm
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Sahm. A scholar is included among the top collaborators of Daniel F. Sahm based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel F. Sahm. Daniel F. Sahm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 4 | |
| 6 | 18 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 50 | |
| 14 | 186 | |
| 15 | 28 | |
| 16 | 80 | |
| 17 | 24 | |
| 18 | Prevalence in the United States of aac(6 ′ ) - Ib - cr Encoding a Ciprofloxacin-Modifying Enzymebreakdown → | 631 |
| 19 | 34 | |
| 20 | 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) and Antibiotic Use and Resistance (101 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.