Hans Svanholm

1.3k total citations
40 papers, 1.0k citations indexed

About

Hans Svanholm is a scholar working on Epidemiology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hans Svanholm has authored 40 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 17 papers in Oncology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hans Svanholm's work include Cervical Cancer and HPV Research (17 papers), Global Cancer Incidence and Screening (7 papers) and Colorectal Cancer Screening and Detection (5 papers). Hans Svanholm is often cited by papers focused on Cervical Cancer and HPV Research (17 papers), Global Cancer Incidence and Screening (7 papers) and Colorectal Cancer Screening and Detection (5 papers). Hans Svanholm collaborates with scholars based in Denmark, Netherlands and United Kingdom. Hans Svanholm's co-authors include H Starklint, H. Barlebo, S Olsen, H.J.G. Gundersen, J Fabricius, Berit Andersen, Mette Tranberg, Jan Blaakær, Jørgen Skov Jensen and Bodil Hammer Bech and has published in prestigious journals such as British Journal of Cancer, BMC Public Health and Journal of Epidemiology & Community Health.

In The Last Decade

Hans Svanholm

39 papers receiving 1.0k citations

Peers

Hans Svanholm
William Small United States
F.U. Chowdhury United Kingdom
James D. Murphy United States
Amy Rapkiewicz United States
Chitra Viswanathan United States
Hans Svanholm
Citations per year, relative to Hans Svanholm Hans Svanholm (= 1×) peers Claudio Lombardi

Countries citing papers authored by Hans Svanholm

Since Specialization
Citations

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

Fields of papers citing papers by Hans Svanholm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Svanholm

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Svanholm. A scholar is included among the top collaborators of Hans Svanholm based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hans Svanholm. Hans Svanholm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hammer, Anne, Jan Blaakær, Maurits N.C. de Koning, et al.. (2022). Evidence of latent HPV infection in older Danish women with a previous history of cervical dysplasia. Acta Obstetricia Et Gynecologica Scandinavica. 101(6). 608–615. 10 indexed citations
2.
Andersen, Berit, et al.. (2020). HrHPV testing vs liquid-based cytology in cervical cancer screening among women aged 50 and older: a prospective study. International Journal of Gynecological Cancer. 30(11). 1678–1683. 12 indexed citations
3.
Hammer, Anne, Jan Blaakær, Torben Steiniche, et al.. (2019). Whole tissue cervical mapping of HPV infection: Molecular evidence for focal latent HPV infection in humans. Papillomavirus Research. 7. 82–87. 25 indexed citations
4.
Tranberg, Mette, Jørgen Skov Jensen, Bodil Hammer Bech, et al.. (2018). Good concordance of HPV detection between cervico-vaginal self-samples and general practitioner-collected samples using the Cobas 4800 HPV DNA test. BMC Infectious Diseases. 18(1). 348–348. 40 indexed citations
5.
Tranberg, Mette, Bodil Hammer Bech, Jan Blaakær, et al.. (2018). HPV self-sampling in cervical cancer screening: the effect of different invitation strategies in various socioeconomic groups - a randomized controlled trial. Clinical Epidemiology. Volume 10. 1027–1036. 23 indexed citations
6.
Andersen, Berit, et al.. (2018). Direct notification of cervical cytology results to women improves follow-up in cervical cancer screening - A cluster-randomised trial. Preventive Medicine Reports. 13. 118–125. 4 indexed citations
7.
8.
Larsen, Mette Bach, et al.. (2017). The influence of total hysterectomy in a cervical cancer screening population: a register-based cross-sectional study. BMC Health Services Research. 17(1). 423–423. 2 indexed citations
9.
Andersen, Berit, et al.. (2017). Impact of GP reminders on follow-up of abnormal cervical cytology: a before–after study in Danish general practice. British Journal of General Practice. 67(661). e580–e587. 13 indexed citations
10.
Larsen, Mette Bach, Hans Svanholm, & Berit Andersen. (2016). An adverse event in a well-established cervical cancer screening program: an observational study of 19,000 females unsubscribed to the program. Journal of Healthcare Leadership. Volume 8. 61–69. 3 indexed citations
11.
Tranberg, Mette, Mette Bach Larsen, Ellen M. Mikkelsen, Hans Svanholm, & Berit Andersen. (2015). Impact of opportunistic testing in a systematic cervical cancer screening program: a nationwide registry study. BMC Public Health. 15(1). 681–681. 28 indexed citations
12.
Jensen, Henry, Hans Svanholm, Henrik Støvring, & Flemming Bro. (2009). A primary healthcare-based intervention to improve a Danish cervical cancer screening programme: a cluster randomised controlled trial. Journal of Epidemiology & Community Health. 63(7). 510–515. 16 indexed citations
13.
Hansen, Ole Ingemann, et al.. (2008). Screening history of women with cervical cancer: a 6-year study in Aarhus, Denmark. British Journal of Cancer. 98(7). 1292–1294. 27 indexed citations
14.
Ladekarl, Morten & Hans Svanholm. (1996). Influence of fixation, embedding and section mounting on stereological estimates of cancer cell mean volume-weighted nuclear volume. Image Analysis & Stereology. 1 indexed citations
15.
Ladekarl, Morten & Hans Svanholm. (1995). Significance of variations in section mounting technique for nuclear stereology and morphology in urinarv bladder neoplasms. Apmis. 103(7-8). 892–896. 2 indexed citations
16.
Svanholm, Hans, H Starklint, H. Barlebo, & S Olsen. (1990). Histological evaluation of prostatic cancer (III): Reproducibility of assessment of tumour volume and its possible significance for prognosis. Apmis. 98(1-6). 237–243. 4 indexed citations
17.
Svanholm, Hans, et al.. (1989). Immunohistochemical differentiation between lymphangiographically verified lymphatic vessels and blood vessels. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 414(3). 209–215. 24 indexed citations
18.
Svanholm, Hans, H Starklint, H.J.G. Gundersen, et al.. (1989). Reproducibility of histomorphologic diagnoses with special reference to the kappa statistic. Apmis. 97(7-12). 689–698. 406 indexed citations
19.
Svanholm, Hans, et al.. (1988). Bone formation induced in an infant by systemic prostaglandin-E2administration. Acta Orthopaedica Scandinavica. 59(4). 464–466. 47 indexed citations
20.
Svanholm, Hans. (1986). EVALUATION OF COMMERCIAL IMMUNOPEROXIDASE KITS FOR PROSTATIC SPECIFIC ANTIGEN AND PROSTATIC SPECIFIC ACID PHOSPHATASE. Acta Pathologica Microbiologica Scandinavica Series A Pathology. 94A(1-6). 7–12. 30 indexed citations

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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