Berit Hølund

1.8k citations
48 papers · 1.4k indexed · h-index 21

Impact in

Papers in

Berit Hølund

48 papers receiving 1.3k citations

Peers

Berit Hølund
Comparison fields: 5 of 90
  • Reproductive Medicine 426
  • Obstetrics and Gynecology 327
  • Hepatology 114
  • Oncology 345
  • Immunology and Allergy 70
Replace M. Apaja‐Sarkkinen with:
M. Apaja‐Sarkkinen Finland
A Fanucchi Italy
M. Lahousen Austria
Kazuhiro Takehara Japan
D. Pectasides Greece
Barbara Schmalfeldt Germany
Alexander W. Miller United States
G. Scott Rose United States
Adam Pawinski Norway
Fritz Lin United States
Berit Hølund relative to M. Apaja‐Sarkkinen Finland M. Apaja‐Sarkkinen's profile →
Citations per field
00.5×4.8×
M. Apaja‐Sarkkinen · 1×
Citations per year

Countries citing papers authored by Berit Hølund

Since Specialization
Citations

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

Fields of papers citing papers by Berit Hølund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2004115
2
[False negative Pap smears in a Danish material].
20036
3 200045
4 199918
5 199916
6 199935
7 199822
8
[Evaluation of PAPNET--a semiautomated system used in the screening against cervical cancer].
19981
9 199616
10 199637
11 199519
12 199535
13 19943
14 1993114
15 19938
16 199326
17 199339
18
Analysis of cervical smears obtained within three years of the diagnosis of invasive cervical cancer.
199175
19 19907
20 198362

About Berit Hølund

Berit Hølund is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Immunology and Allergy, Cancer Research and Hematology, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (13 papers), Ovarian cancer diagnosis and treatment (9 papers), Endometrial and Cervical Cancer Treatments (6 papers), Uterine Myomas and Treatments (4 papers), Cell Adhesion Molecules Research (4 papers), Protease and Inhibitor Mechanisms (3 papers), Cancer-related molecular mechanisms research (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Reproductive Medicine (426 citations), Obstetrics and Gynecology (327 citations), Hepatology (114 citations), Oncology (345 citations) and Immunology and Allergy (70 citations). Berit Hølund has collaborated with scholars based in Denmark, Sweden and Switzerland. Frequent co-authors include K. Bertelsen, Helle Harding Poulsen, P. Schlichting, Inge Clemmensen, Anders Jakobsen, Gunnar B. Kristensen, Jens Steen Nielsen, Erik Jakobsen, Peter Junker and R. Bach Andersen. Their work appears in journals such as International Journal of Gynecological Cancer, Placenta, Acta Obstetricia Et Gynecologica Scandinavica, Scandinavian Journal of Gastroenterology and Fertility and Sterility.

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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