Ingela Tjernberg
- Molecular Medicine top 0.1%
- Molecular Biology top 10%
- Endocrinology top 0.5%
- Plant Science top 10%
- Epidemiology
- Co-authors
- Jan UrsingLenie DijkshoornPeter Gerner‐SmidtMario VaneechoutteHarald SeifertAlexandr NemecPhilippe BouvetGeert Claeys
- Topics
- Antibiotic Resistance in Bacteria (17 papers)Genomics and Phylogenetic Studies (11 papers)Plant Pathogenic Bacteria Studies (5 papers)
- Journals
- Applied and Environmental MicrobiologyJournal of Clinical MicrobiologyJournal of Clinical Pathology
- Partner nations
- SwedenNetherlandsBelgium
In The Last Decade
Ingela Tjernberg
26 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 103
- Molecular Medicine 1.5k
- Molecular Biology 1.0k
- Endocrinology 951
- Plant Science 247
- Epidemiology 237
Countries citing papers authored by Ingela Tjernberg
This map shows the geographic impact of Ingela Tjernberg'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 Ingela Tjernberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingela Tjernberg more than expected).
Fields of papers citing papers by Ingela Tjernberg
This network shows the impact of papers produced by Ingela Tjernberg. 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 Ingela Tjernberg. The network helps show where Ingela Tjernberg may publish in the future.
Co-authorship network of co-authors of Ingela Tjernberg
This figure shows the co-authorship network connecting the top 25 collaborators of Ingela Tjernberg. A scholar is included among the top collaborators of Ingela Tjernberg 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 Ingela Tjernberg. Ingela Tjernberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 30 | |
| 3 | 2 | |
| 4 | 117 | |
| 5 | 4 | |
| 6 | 49 | |
| 7 | 98 | |
| 8 | 130 | |
| 9 | 247 | |
| 10 | 31 | |
| 11 | 98 | |
| 12 | 262 | |
| 13 | 43 | |
| 14 | 26 | |
| 15 | Acinetobacter in Denmark: II. Molecular studies of the Acinetobacter calcoaceticus-Acinetobacter baumannii complex. | 73 |
| 16 | 271 | |
| 17 | 1 | |
| 18 | 42 | |
| 19 | 198 | |
| 20 | 35 |
About Ingela Tjernberg
Ingela Tjernberg is a scholar working on Molecular Medicine, Endocrinology and Clinical Biochemistry, having authored 26 papers that have together received 2.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (17 papers), Genomics and Phylogenetic Studies (11 papers) and Plant Pathogenic Bacteria Studies (5 papers). The work is most often cited by research in Molecular Medicine (1.5k citations), Endocrinology (951 citations) and Applied Microbiology and Biotechnology (71 citations). Ingela Tjernberg has collaborated with scholars based in Sweden, Netherlands and Belgium. Frequent co-authors include Jan Ursing, Lenie Dijkshoorn, Peter Gerner‐Smidt, Mario Vaneechoutte, Harald Seifert, Alexandr Nemec, Philippe Bouvet, Geert Claeys, A Elaichouni and Gerda Verschraegen. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Clinical Microbiology and Journal of Clinical Pathology.
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.