R. N. Grüneberg
- Epidemiology top 1%
- Pharmacology top 1%
- Molecular Medicine top 0.5%
- Infectious Diseases top 2%
- Surgery top 5%
- Co-authors
- D. FelminghamA.P.R. WilsonM F SturridgeTom TreasureJ. M. SmellieW. BrumfittH. C. NeuNaomi Datta
- Topics
- Urinary Tract Infections Management (31 papers)Antibiotic Resistance in Bacteria (26 papers)Antibiotics Pharmacokinetics and Efficacy (22 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
R. N. Grüneberg
105 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 123
- Epidemiology 1.7k
- Pharmacology 707
- Molecular Medicine 631
- Infectious Diseases 586
- Surgery 586
Countries citing papers authored by R. N. Grüneberg
This map shows the geographic impact of R. N. Grüneberg'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 R. N. Grüneberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. N. Grüneberg more than expected).
Fields of papers citing papers by R. N. Grüneberg
This network shows the impact of papers produced by R. N. Grüneberg. 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 R. N. Grüneberg. The network helps show where R. N. Grüneberg may publish in the future.
Co-authorship network of co-authors of R. N. Grüneberg
This figure shows the co-authorship network connecting the top 25 collaborators of R. N. Grüneberg. A scholar is included among the top collaborators of R. N. Grüneberg 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 R. N. Grüneberg. R. N. Grüneberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 328 | |
| 2 | 3 | |
| 3 | 78 | |
| 4 | 6 | |
| 5 | 24 | |
| 6 | 12 | |
| 7 | Minimum effective dose of trimethoprim for urinary tract infection. | 1 |
| 8 | 37 | |
| 9 | 18 | |
| 10 | The comparative in vitro activity of twelve 4-quinolone antimicrobials against enteric pathogens. | 19 |
| 11 | The comparative activity of twelve 4-quinolone antimicrobials against Haemophilus influenzae and Streptococcus pneumoniae. | 17 |
| 12 | 19 | |
| 13 | 19 | |
| 14 | 75 | |
| 15 | 10 | |
| 16 | 104 | |
| 17 | 10 | |
| 18 | 24 | |
| 19 | 60 | |
| 20 | 77 |
About R. N. Grüneberg
R. N. Grüneberg is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 108 papers that have together received 3.1k indexed citations. Recurring topics across this work include Urinary Tract Infections Management (31 papers), Antibiotic Resistance in Bacteria (26 papers) and Antibiotics Pharmacokinetics and Efficacy (22 papers). The work is most often cited by research in Molecular Medicine (631 citations), Applied Microbiology and Biotechnology (240 citations) and Clinical Biochemistry (358 citations). R. N. Grüneberg has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include D. Felmingham, A.P.R. Wilson, M F Sturridge, Tom Treasure, J. M. Smellie, W. Brumfitt, A.P.R. Wilson, H. C. Neu, Naomi Datta and Guy Katz. Their work appears in journals such as The Lancet, Clinical Infectious Diseases and Frontiers in Microbiology.
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.