B Hagmar

4.4k total citations
115 papers, 3.5k citations indexed

About

B Hagmar is a scholar working on Epidemiology, Molecular Biology and Oncology. According to data from OpenAlex, B Hagmar has authored 115 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Epidemiology, 30 papers in Molecular Biology and 25 papers in Oncology. Recurrent topics in B Hagmar's work include Cervical Cancer and HPV Research (37 papers), Genital Health and Disease (12 papers) and Sarcoma Diagnosis and Treatment (10 papers). B Hagmar is often cited by papers focused on Cervical Cancer and HPV Research (37 papers), Genital Health and Disease (12 papers) and Sarcoma Diagnosis and Treatment (10 papers). B Hagmar collaborates with scholars based in Sweden, Norway and United States. B Hagmar's co-authors include Mina Kalantari, Frank Karlsen, Walter Ryd, Joakim Dillner, Bo Johansson, Hanne Skomedal, Gunnar B. Kristensen, Irene Kraus, Tor Molden and B Johansson and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer and Journal of Virology.

In The Last Decade

B Hagmar

112 papers receiving 3.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
B Hagmar Sweden	36	1.9k	931	907	825	501	115	3.5k
Wayne D. Lancaster United States	37	2.0k 1.0×	840 0.9×	797 0.9×	628 0.8×	364 0.7×	77	3.6k
Johan Bulten Netherlands	40	2.7k 1.5×	1.6k 1.8×	843 0.9×	1.1k 1.3×	430 0.9×	206	5.4k
C. J. L. M. Meijer Netherlands	33	2.3k 1.2×	1000 1.1×	713 0.8×	980 1.2×	245 0.5×	67	4.3k
Kumarasen Cooper United States	35	935 0.5×	896 1.0×	788 0.9×	818 1.0×	235 0.5×	148	3.0k
Christine Clavel France	32	3.6k 1.9×	1.8k 2.0×	1.0k 1.1×	1.4k 1.7×	642 1.3×	83	5.2k
Ruediger Ridder Germany	26	2.6k 1.4×	1.4k 1.5×	866 1.0×	870 1.1×	326 0.7×	36	3.4k
G. Peter Vooijs Netherlands	35	882 0.5×	973 1.0×	1.6k 1.7×	972 1.2×	534 1.1×	134	4.7k
Prabodh K. Gupta United States	34	1.0k 0.6×	1.8k 2.0×	560 0.6×	953 1.2×	250 0.5×	139	4.3k
Walter Ryd Sweden	27	2.0k 1.1×	1.2k 1.3×	397 0.4×	892 1.1×	160 0.3×	68	3.3k
C J Meijer Netherlands	42	1.6k 0.9×	656 0.7×	926 1.0×	1.4k 1.7×	277 0.6×	87	5.0k

Countries citing papers authored by B Hagmar

Since Specialization

Citations

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

Fields of papers citing papers by B Hagmar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B Hagmar

This figure shows the co-authorship network connecting the top 25 collaborators of B Hagmar. A scholar is included among the top collaborators of B Hagmar 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 B Hagmar. B Hagmar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

O’Regan, Esther, Mary Toner, Stephen P. Finn, et al.. (2008). p16INK4A genetic and epigenetic profiles differ in relation to age and site in head and neck squamous cell carcinomas. Human Pathology. 39(3). 452–458. 60 indexed citations

Silfverdal, Lena, et al.. (2008). A randomized trial of basing treatment on human papillomavirus and/or cytology results in low-grade cervical lesion triage. American Journal of Obstetrics and Gynecology. 199(1). 24.e1–24.e7. 32 indexed citations

Stenman, Göran, et al.. (2008). Chromosomes and chromosomal evolution in human mesotheliomas as reflected in sequential analyses of two cases. Hereditas. 105(2). 233–239. 2 indexed citations

Molden, Tor, Jan F. Nygård, Irene Kraus, et al.. (2005). Predicting CIN2+ when detecting HPV mRNA and DNA by PreTect HPV‐proofer and consensus PCR: A 2‐year follow‐up of women with ASCUS or LSIL pap smear. International Journal of Cancer. 114(6). 973–976. 117 indexed citations

Bofin, Anna M., Stian Lydersen, & B Hagmar. (2004). Cytological criteria for the diagnosis of intraductal hyperplasia, ductal carcinoma in situ, and invasive carcinoma of the breast. Diagnostic Cytopathology. 31(4). 207–215. 24 indexed citations

Boysen, Morten, et al.. (1998). Low Detection Rate of HPV in Oral and Laryngeal Carcinomas. Acta Oncologica. 37(1). 73–76. 40 indexed citations

Kalantari, Mina, et al.. (1997). Human papillomavirus findings in relation to cervical intraepithelial neoplasia grade: A study on 476 stockholm women, using pcr for detection and typing of HPV. Human Pathology. 28(8). 899–904. 30 indexed citations

Karlsen, Frank, et al.. (1995). High incidence of human papillomavirus in 146 cervical carcinomas. A study using three different pairs of consensus primers, and detecting viral genomes with putative deletions. European Journal of Cancer. 31(9). 1511–1516. 14 indexed citations

Hagmar, B, et al.. (1995). A one-year audit of fine needle aspiration cytology of breast lesions. Factors affecting adequacy and a review of delayed carcinoma diagnoses.. PubMed. 39(6). 1233–6. 11 indexed citations

10.

Skyldberg, Barbro, B Hagmar, Bo Johansson, et al.. (1995). HPV detection in cytological cases with condylomatous or dysplastic changes: A study with PCR and in situ hybridization on cytological material. Diagnostic Cytopathology. 13(1). 8–14. 6 indexed citations

11.

Heino, Pirkko, Barbro Skyldberg, Matti Lehtinen, et al.. (1995). Human papillomavirus type 16 capsids expose multiple type-restricted and type-common antigenic epitopes. Journal of General Virology. 76(5). 1141–1153. 44 indexed citations

12.

Hagmar, B, B Johansson, Mina Kalantari, et al.. (1995). Implications of human papillomavirus type for survival in cervical squamous cell carcinoma. International Journal of Gynecological Cancer. 5(5). 341–345. 11 indexed citations

13.

Platz‐Christensen, Jens Jörgen, et al.. (1993). A longitudinal follow‐up of bacterial vaginosis during pregnancy. Acta Obstetricia Et Gynecologica Scandinavica. 72(2). 99–102. 40 indexed citations

14.

Hagmar, B, et al.. (1992). The incidence of HPV in a Swedish series of invasive cervical carcinoma. Medical Oncology and Tumor Pharmacotherapy. 9(3). 113–7. 28 indexed citations

15.

Tibblin, S, et al.. (1989). Angiogenic Activity of Solid and Ascites-Transformed Syngeneic Murine Tumors. Medical Principles and Practice. 1(3). 147–153. 1 indexed citations

16.

Erkell, Lars Johan, et al.. (1982). Comments on the filter test for tumor cell deformability. 2(5). 260–267. 5 indexed citations

17.

Boeryd, B, et al.. (1975). Alteration of metastases distribution by vaso-dilating drugs.. PubMed. 10(3). 197–201. 3 indexed citations

18.

Hagmar, B. (1974). MCG101‐AA, A NEW ASCITES TUMOUR IN C₅₇MICE. Acta Pathologica Microbiologica Scandinavica Section A Pathology. 82A(3). 379–385. 6 indexed citations

19.

Boeryd, B, et al.. (1974). Effects of EACA, AMCHA and guanethidine on metastases induced by intravenously injected tumour cells.. PubMed. 9(2). 119–23. 4 indexed citations

20.

Hagmar, B & Klas Norrby. (1970). Evidence for effects of heparin on cell surfaces influencing experimental metastases. International Journal of Cancer. 5(1). 72–84. 44 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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