Johan Bjerner

29 papers receiving 689 citations

Peers

Johan Bjerner
Comparison fields: 5 of 82
  • Reproductive Medicine 110
  • Microbiology 49
  • Radiology, Nuclear Medicine and Imaging 106
  • Endocrinology, Diabetes and Metabolism 67
  • Oncology 81
Replace P. Dohrmann with:
P. Dohrmann Germany
Eliano Cascardi Italy
Xiaoli Yang China
M Kowalska Poland
S Kaufman Israel
Hanoch Levavi Israel
Göran Ahlgren Sweden
Carlos A. Mattioli United States
Nikolaos Thomakos Greece
Jessica A. Smith United States
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Citations per field
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P. Dohrmann · 1×
Citations per year

Countries citing papers authored by Johan Bjerner

Since Specialization
Citations

This map shows the geographic impact of Johan Bjerner'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 Johan Bjerner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Bjerner more than expected).

Fields of papers citing papers by Johan Bjerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johan Bjerner. 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 Johan Bjerner. The network helps show where Johan Bjerner may publish in the future.

Co-authors

The 25 scholars most cited alongside Johan Bjerner, 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 Johan Bjerner Line = papers co-authored together Johan Bjerner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002104
2 201188
3 201472
4 201550
5 201344
6 200542
7 200839
8 201135
9 200933
10 200231
11 200523
12 200821
13 200819
14 200518
15 202417
16 202113
17 20029
18 20048
19 20028
20 20078

About Johan Bjerner

Johan Bjerner is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 716 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Sarcoma Diagnosis and Treatment (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Testicular diseases and treatments (2 papers), Lung Cancer Research Studies (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Hemoglobinopathies and Related Disorders (2 papers). The work is most often cited by research in Reproductive Medicine (110 citations), Microbiology (49 citations), Radiology, Nuclear Medicine and Imaging (106 citations), Endocrinology, Diabetes and Metabolism (67 citations) and Oncology (81 citations). Johan Bjerner has collaborated with scholars based in Norway, United States and Sweden. Frequent co-authors include Kjell Nustad, Ole P. Børmer, Nils Bolstad, Trine Bjøro, Lars F. Norum, Elisabeth Paus, David J. Warren, Hege Sagstuen Haugnes, Marianne Brydøy and Mette Sprauten. Their work appears in journals such as Tumor Biology, Scandinavian Journal of Clinical and Laboratory Investigation, Clinical Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM) and Journal of Clinical Oncology.

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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