Jan P. Baak

1.2k total citations
24 papers, 847 citations indexed

About

Jan P. Baak is a scholar working on Obstetrics and Gynecology, Genetics and Surgery. According to data from OpenAlex, Jan P. Baak has authored 24 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Obstetrics and Gynecology, 7 papers in Genetics and 6 papers in Surgery. Recurrent topics in Jan P. Baak's work include Endometrial and Cervical Cancer Treatments (7 papers), Cervical Cancer and HPV Research (6 papers) and Ovarian cancer diagnosis and treatment (5 papers). Jan P. Baak is often cited by papers focused on Endometrial and Cervical Cancer Treatments (7 papers), Cervical Cancer and HPV Research (6 papers) and Ovarian cancer diagnosis and treatment (5 papers). Jan P. Baak collaborates with scholars based in Norway, Netherlands and United States. Jan P. Baak's co-authors include Mario Hermsen, Gerrit A. Meijer, Cindy Postma, Marjan M. Weiss, Jan‐Willem Arends, A. de Goeij, Guido M.J.M. Roemen, Richard D. Williams, Walter Giaretti and Andrea Sciutto and has published in prestigious journals such as Gastroenterology, Cancer and Oncogene.

In The Last Decade

Jan P. Baak

24 papers receiving 823 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan P. Baak Norway 14 279 241 239 213 206 24 847
Tsui‐Lien Mao Taiwan 14 500 1.8× 146 0.6× 321 1.3× 87 0.4× 188 0.9× 24 1.0k
Tamara Kalir United States 15 502 1.8× 59 0.2× 145 0.6× 147 0.7× 314 1.5× 51 957
Joan Murphy Canada 16 281 1.0× 53 0.2× 162 0.7× 274 1.3× 165 0.8× 22 910
Fumio Kataoka Japan 16 268 1.0× 65 0.3× 248 1.0× 255 1.2× 213 1.0× 54 814
Rong‐Miao Zhou China 19 459 1.6× 113 0.5× 294 1.2× 96 0.5× 231 1.1× 61 868
Johanne I. Weberpals Canada 20 687 2.5× 127 0.5× 619 2.6× 72 0.3× 289 1.4× 56 1.3k
Gaia Giannone Italy 14 262 0.9× 75 0.3× 341 1.4× 103 0.5× 169 0.8× 32 740
Sílvia Cabrera Spain 19 318 1.1× 45 0.2× 145 0.6× 482 2.3× 246 1.2× 61 951
M.G. Federici United States 9 374 1.3× 208 0.9× 225 0.9× 47 0.2× 142 0.7× 11 688
Vinod Vathipadiekal United States 16 709 2.5× 165 0.7× 286 1.2× 69 0.3× 301 1.5× 23 1.2k

Countries citing papers authored by Jan P. Baak

Since Specialization
Citations

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

Fields of papers citing papers by Jan P. Baak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan P. Baak. 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 Jan P. Baak. The network helps show where Jan P. Baak may publish in the future.

Co-authorship network of co-authors of Jan P. Baak

This figure shows the co-authorship network connecting the top 25 collaborators of Jan P. Baak. A scholar is included among the top collaborators of Jan P. Baak 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 Jan P. Baak. Jan P. Baak 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.
Gan, Yanxiong, Dengqiu Xu, Hongjuan Zhang, et al.. (2020). Evaluating supersaturation in vitro and predicting its performance in vivo with Biphasic gastrointestinal Simulator: A case study of a BCS IIB drug. International Journal of Pharmaceutics. 578. 119043–119043. 9 indexed citations
2.
Gudlaugsson, Einar, et al.. (2018). Assessing the prognostic value of PAX2 and PTEN in endometrial carcinogenesis. Endocrine Related Cancer. 25(12). 981–991. 7 indexed citations
4.
Øvestad, Irene Tveiterås, Einar Gudlaugsson, Kjell Løvslett, et al.. (2012). Consistent condom use increases spontaneous regression in high-risk non-HPV16 but not in HPV16 CIN2-3 lesions, a prospective population-based cohort study. Infectious Agents and Cancer. 7(1). 30–30. 10 indexed citations
5.
Malpica, Anaís, Einar Gudlaugsson, Emiel A. M. Janssen, et al.. (2011). High frequency microsatellite instability has a prognostic value in endometrial endometrioid adenocarcinoma, but only in FIGO stage 1 cases. Cellular Oncology. 34(5). 457–465. 12 indexed citations
6.
Gudlaugsson, Einar, et al.. (2011). D2-40/p63 defined lymph vessel invasion has additional prognostic value in highly proliferating operable node negative breast cancer patients. Modern Pathology. 24(4). 502–511. 18 indexed citations
7.
Øvestad, Irene Tveiterås, Einar Gudlaugsson, Ivar Skaland, et al.. (2011). The impact of epithelial biomarkers, local immune response and human papillomavirus genotype in the regression of cervical intraepithelial neoplasia grades 2–3. Journal of Clinical Pathology. 64(4). 303–307. 37 indexed citations
8.
Malpica, Anaís, Ivar Skaland, Einar Gudlaugsson, et al.. (2011). Biomarkers and microsatellite instability analysis of curettings can predict the behavior of FIGO stage I endometrial endometrioid adenocarcinoma. Modern Pathology. 24(9). 1262–1271. 25 indexed citations
9.
Gudlaugsson, Einar, Ivar Skaland, Anaís Malpica, et al.. (2011). Molecular biomarkers in endometrial hyperplasias predict cancer progression. American Journal of Obstetrics and Gynecology. 204(4). 357.e1–357.e12. 26 indexed citations
10.
Brede, Cato, Einar Gudlaugsson, Bianca van Diermen, et al.. (2011). Discrimination of grade 2 and 3 cervical intraepithelial neoplasia by means of analysis of water soluble proteins recovered from cervical biopsies. Proteome Science. 9(1). 36–36. 7 indexed citations
11.
Diest, P. J. van, et al.. (2008). The Prognostic and Clinical Value of Morphometry and DNA Cytometry in Borderline Ovarian Tumors: A Prospective Study. International Journal of Gynecological Pathology. 28(1). 35–40. 7 indexed citations
12.
Palmer, Julia E., et al.. (2008). The Prognostic and Predictive Value of Syntactic Structure Analysis in Serous Carcinoma of the Ovary. International Journal of Gynecological Pathology. PAP(2). 191–8. 2 indexed citations
13.
Declercq, Jeroen, Ivar Skaland, Frederik Van Dyck, et al.. (2008). Adenomyoepitheliomatous lesions of the mammary glands in transgenic mice with targeted PLAG1 overexpression. International Journal of Cancer. 123(7). 1593–1600. 14 indexed citations
14.
Lomo, Lesley, Jan P. Baak, Charis Eng, et al.. (2008). Squamous morules are functionally inert elements of premalignant endometrial neoplasia. Modern Pathology. 22(2). 167–174. 38 indexed citations
15.
Hsu, Chih‐Yi, Robert J. Kurman, Russell Vang, et al.. (2005). Nuclear size distinguishes low- from high-grade ovarian serous carcinoma and predicts outcome. Human Pathology. 36(10). 1049–1054. 26 indexed citations
16.
Hermsen, Mario, Antoine M. Snijders, Jan P. Baak, et al.. (2005). Centromeric chromosomal translocations show tissue-specific differences between squamous cell carcinomas and adenocarcinomas. Oncogene. 24(9). 1571–1579. 28 indexed citations
17.
Ruivenkamp, Claudia, Mario Hermsen, Cindy Postma, et al.. (2003). LOH of PTPRJ occurs early in colorectal cancer and is associated with chromosomal loss of 18q12–21. Oncogene. 22(22). 3472–3474. 67 indexed citations
18.
Hermsen, Mario, Cindy Postma, Jan P. Baak, et al.. (2002). Colorectal adenoma to carcinoma progression follows multiple pathways of chromosomal instability. Gastroenterology. 123(4). 1109–1119. 258 indexed citations
19.
Baak, Jan P.. (2002). The framework of pathology: good laboratory practice by quantitative and molecular methods. The Journal of Pathology. 198(3). 277–283. 40 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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