Johan Bjerner

986 citations
30 papers · 681 indexed · h-index 15

Impact in

Papers in

Johan Bjerner

29 papers receiving 660 citations

Peers

Johan Bjerner
Comparison fields: 5 of 84
  • Reproductive Medicine 148
  • Microbiology 47
  • Radiology, Nuclear Medicine and Imaging 141
  • Endocrinology, Diabetes and Metabolism 90
  • Obstetrics and Gynecology 36
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Julia Gallwas Germany
Hanoch Levavi Israel
W. Frederick Sample United States
Iordanis Navrozoglou Greece
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Citations per field
00.5×2.8×
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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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200299
2 201187
3 201472
4 201547
5 201341
6 200540
7 200836
8 201132
9 200930
10 200229
11 200522
12 200821
13 200819
14 200518
15 202414
16 202112
17 20028
18 20028
19 20047
20 20077

About Johan Bjerner

Johan Bjerner is a scholar working on Radiology, Nuclear Medicine and Imaging, Microbiology, Statistics and Probability, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 30 papers that have together received 681 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), Advanced Biosensing Techniques and Applications (5 papers), Testicular diseases and treatments (3 papers), Sexual Differentiation and Disorders (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Reproductive tract infections research (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Reproductive Medicine (148 citations), Microbiology (47 citations), Radiology, Nuclear Medicine and Imaging (141 citations), Endocrinology, Diabetes and Metabolism (90 citations) and Obstetrics and Gynecology (36 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, Milada Cvancarova, Mette Sprauten and Hege Sagstuen Haugnes. Their work appears in journals such as Tumor Biology, Scandinavian Journal of Clinical and Laboratory Investigation, Clinical Chemistry and Laboratory Medicine (CCLM), Clinical Chemistry 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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