Inga Odenholt
- Epidemiology top 5%
- Molecular Medicine top 0.5%
- Pharmacology top 1%
- Infectious Diseases top 2%
- Applied Microbiology and Biotechnology top 0.5%
- Co-authors
- Otto CarsElisabeth LöwdinMarlene WulltMats WalderMarie-Louise Johansson HagslättEva MelanderJohan ThamPeter Lanbeck
- Topics
- Antibiotics Pharmacokinetics and Efficacy (36 papers)Antibiotic Resistance in Bacteria (35 papers)Pneumonia and Respiratory Infections (23 papers)
In The Last Decade
Inga Odenholt
73 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 126
- Epidemiology 838
- Molecular Medicine 821
- Pharmacology 729
- Infectious Diseases 673
- Applied Microbiology and Biotechnology 349
Countries citing papers authored by Inga Odenholt
This map shows the geographic impact of Inga Odenholt'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 Inga Odenholt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inga Odenholt more than expected).
Fields of papers citing papers by Inga Odenholt
This network shows the impact of papers produced by Inga Odenholt. 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 Inga Odenholt. The network helps show where Inga Odenholt may publish in the future.
Co-authorship network of co-authors of Inga Odenholt
This figure shows the co-authorship network connecting the top 25 collaborators of Inga Odenholt. A scholar is included among the top collaborators of Inga Odenholt 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 Inga Odenholt. Inga Odenholt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | Assessment of early combination effects of colistin and meropenem against Pseudomonas aeruginosa and Acinetobacter baumannii in dynamic time-kill experiments. | 1 |
| 3 | 15 | |
| 4 | 28 | |
| 5 | 25 | |
| 6 | 4 | |
| 7 | 15 | |
| 8 | 39 | |
| 9 | 31 | |
| 10 | Allmänläkare förskrev mindre antibiotika men utnyttjade CRP-test mer. Diagnos-förskrivningsstudier för åren 2000-2005 | 3 |
| 11 | 27 | |
| 12 | 48 | |
| 13 | 13 | |
| 14 | 13 | |
| 15 | 15 | |
| 16 | 19 | |
| 17 | 6 | |
| 18 | 62 | |
| 19 | 37 | |
| 20 | 16 |
About Inga Odenholt
Inga Odenholt is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Pharmacology, having authored 73 papers that have together received 2.4k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (36 papers), Antibiotic Resistance in Bacteria (35 papers) and Pneumonia and Respiratory Infections (23 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (349 citations), Molecular Medicine (821 citations) and Pharmacology (729 citations). Inga Odenholt has collaborated with scholars based in Sweden, Iceland and Denmark. Frequent co-authors include Otto Cars, Elisabeth Löwdin, Marlene Wullt, Mats Walder, Marie-Louise Johansson Hagslätt, Eva Melander, Johan Tham, Peter Lanbeck, Jonas Ahl and Otto Paulsen. Their work appears in journals such as The Journal of Infectious Diseases, Antimicrobial Agents and Chemotherapy and Journal of Antimicrobial Chemotherapy.
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.