K Hasløv
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Microbiology top 10%
- Bacterial Infections and Vaccines
Papers in
-
- Tuberculosis Research and Epidemiology 20
- Immunology 10
- T-cell and B-cell Immunology 8
- Immune Response and Inflammation 2
- Immune responses and vaccinations 2
- Co-authors
- Åse Bengård Andersen (7 shared papers)Peter Lawætz Andersen (4 shared papers)Michael Weis Bentzon (11 shared papers)Lene Ljungqvist (5 shared papers)Thomas Oettinger (2 shared papers)J. Bennedsen (3 shared papers)Iver Heron (5 shared papers)B Vergmann (1 shared paper)
- Journals
- Infection and Immunity (7 papers)Scandinavian Journal of Immunology (5 papers)Immunobiology (3 papers)Journal of Immunological Methods (3 papers)Biologicals (3 papers)
- Partner nations
- DenmarkUnited StatesNorway
In The Last Decade
K Hasløv
37 papers receiving 843 citations
Peers
Comparison fields: 5 of 63
- Infectious Diseases 604
- Microbiology 58
- Immunology 124
- Small Animals 44
- Sensory Systems 13
Countries citing papers authored by K Hasløv
This map shows the geographic impact of K Hasløv'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 K Hasløv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Hasløv more than expected).
Fields of papers citing papers by K Hasløv
This network shows the impact of papers produced by K Hasløv. 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 K Hasløv. The network helps show where K Hasløv may publish in the future.
Co-authors
The 25 scholars most cited alongside K Hasløv, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 136 | |
| 2 | 1997 | 74 | |
| 3 | 1986 | 73 | |
| 4 | 1995 | 60 | |
| 5 | 2001 | 60 | |
| 6 | 1998 | 50 | |
| 7 | 1987 | 46 | |
| 8 | 1990 | 41 | |
| 9 | 1991 | 41 | |
| 10 | 1992 | 34 | |
| 11 | 2015 | 32 | |
| 12 | 1996 | 28 | |
| 13 | 2008 | 23 | |
| 14 | 1987 | 22 | |
| 15 | 1990 | 20 | |
| 16 | 1990 | 17 | |
| 17 | Tuberculin PPD RT23: still going strong. | 1998 | 14 |
| 18 | 2001 | 14 | |
| 19 | 1992 | 13 | |
| 20 | 1997 | 12 |
About K Hasløv
K Hasløv is a scholar working on Infectious Diseases, Immunology, Microbiology, Small Animals and Epidemiology, having authored 40 papers that have together received 917 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (20 papers), T-cell and B-cell Immunology (8 papers), Bacterial Infections and Vaccines (4 papers), Mycobacterium research and diagnosis (3 papers), Animal testing and alternatives (2 papers), vaccines and immunoinformatics approaches (2 papers), Immune Response and Inflammation (2 papers) and Immune responses and vaccinations (2 papers). The work is most often cited by research in Infectious Diseases (604 citations), Microbiology (58 citations), Immunology (124 citations), Small Animals (44 citations) and Sensory Systems (13 citations). K Hasløv has collaborated with scholars based in Denmark, United States and Norway. Frequent co-authors include Åse Bengård Andersen, Peter Lawætz Andersen, Michael Weis Bentzon, Lene Ljungqvist, Thomas Oettinger, J. Bennedsen, Iver Heron, B Vergmann, Shigenori Nagai and Anne Worsaae. Their work appears in journals such as Infection and Immunity, Scandinavian Journal of Immunology, Immunobiology, Journal of Immunological Methods and Biologicals.
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.