K Hasløv

1.1k citations
40 papers · 906 · h-index 16

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 17
    • Immune Response and Inflammation 7
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 5
    • Immune responses and vaccinations 4

K Hasløv

37 papers receiving 864 citations

Peers

K Hasløv
Comparison fields: 5 of 77
  • Infectious Diseases 550
  • Microbiology 111
  • Immunology 350
  • Epidemiology 405
  • Endocrinology 42
Replace Rolf Billeskov with:
Rolf Billeskov Denmark
Salvatore Papasergi Italy
Kimberly A. Benton United States
Dona M.H. Hameleers Netherlands
Mario Cortese United States
Jason Z. Oh United States
Milan S. Blake United States
Olive James Canada
Han-Qing Jiang United States
Gayle M. Boxx United States
K Hasløv relative to Rolf Billeskov Denmark Rolf Billeskov's profile →
Citations per field
00.5×1.5×1.9×
Rolf Billeskov · 1×
Citations per year

Countries citing papers authored by K Hasløv

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with K Hasløv Line = papers co-authored together K Hasløv links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999130
2 199778
3 198672
4 199561
5 200157
6 198746
7 199845
8 199141
9 199041
10 199234
11 201531
12 199628
13 200823
14 198722
15 199021
16 199017
17 199214
18 200113
19
Tuberculin PPD RT23: still going strong.
199813
20 200612

About K Hasløv

K Hasløv is a scholar working on Infectious Diseases, Immunology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 40 papers that have together received 906 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (17 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Mycobacterium research and diagnosis (10 papers), Immune Response and Inflammation (7 papers), T-cell and B-cell Immunology (5 papers), Bacterial Infections and Vaccines (5 papers), Immune Cell Function and Interaction (5 papers) and Immune responses and vaccinations (4 papers). The work is most often cited by research in Infectious Diseases (550 citations), Microbiology (111 citations), Immunology (350 citations), Epidemiology (405 citations) and Endocrinology (42 citations). K Hasløv has collaborated with scholars based in Denmark, United States and Norway. Frequent co-authors include Åse Bengård Andersen, Michael Weis Bentzon, Peter Andersen, L Ljungqvist, T Oettinger, Morten Buus Jørgensen, J. Bennedsen, Iver Heron, B Vergmann and Zhiliang Yuan. Their work appears in journals such as Infection and Immunity, Scandinavian Journal of Immunology, Journal of Immunological Methods, Immunobiology 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.

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