Christian Baisch

1.1k total citations
25 papers, 775 citations indexed

About

Christian Baisch is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Christian Baisch has authored 25 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Genetics and 10 papers in Oncology. Recurrent topics in Christian Baisch's work include Estrogen and related hormone effects (7 papers), DNA Repair Mechanisms (4 papers) and BRCA gene mutations in cancer (4 papers). Christian Baisch is often cited by papers focused on Estrogen and related hormone effects (7 papers), DNA Repair Mechanisms (4 papers) and BRCA gene mutations in cancer (4 papers). Christian Baisch collaborates with scholars based in Germany, Poland and Netherlands. Christian Baisch's co-authors include Volker Harth, Beate Pesch, Hiltrud Brauch, Christina Justenhoven, Sylvia Rabstein, Ute Hamann, Thomas Brüning, Christiane Barbara Pierl, Yon‐Dschun Ko and Yon Ko and has published in prestigious journals such as Cancer Research, International Journal of Cancer and European Journal of Cancer.

In The Last Decade

Christian Baisch

23 papers receiving 755 citations

Peers

Christian Baisch
Ute Hamann Germany
Charla M. Blacker United States
Yu‐Chi Lee United States
R Vihko Finland
Dragana Tomic United States
Shiva Krishnan United States
Yelena Afanasyeva United States
S. Ekberg Sweden
Ute Hamann Germany
Christian Baisch
Citations per year, relative to Christian Baisch Christian Baisch (= 1×) peers Ute Hamann

Countries citing papers authored by Christian Baisch

Since Specialization
Citations

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

Fields of papers citing papers by Christian Baisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Baisch

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Baisch. A scholar is included among the top collaborators of Christian Baisch 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 Christian Baisch. Christian Baisch 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.
Rabstein, Sylvia, Volker Harth, Christina Justenhoven, et al.. (2014). Polymorphisms in circadian genes, night work and breast cancer: Results from the GENICA study. Chronobiology International. 31(10). 1115–1122. 38 indexed citations
2.
Rabstein, Sylvia, Volker Harth, Beate Pesch, et al.. (2013). Night work and breast cancer estrogen receptor status – results from the German GENICA study. Scandinavian Journal of Work Environment & Health. 39(5). 448–455. 37 indexed citations
3.
Rabstein, Sylvia, Volker Harth, Beate Pesch, et al.. (2013). 99 Associations of polymorphisms in circadian genes, shift work and breast cancer in the German GENICA study. Occupational and Environmental Medicine. 70(Suppl 1). A33.2–A33. 1 indexed citations
4.
Lang, Thomas, Christina Justenhoven, Stefan Winter, et al.. (2011). The earwax-associated SNP c.538G>A (G180R) in ABCC11 is not associated with breast cancer risk in Europeans. Breast Cancer Research and Treatment. 129(3). 993–999. 14 indexed citations
5.
Justenhoven, Christina, Elke Schaeffeler, Stefan Winter, et al.. (2010). Polymorphisms of the nuclear receptor pregnane X receptor and organic anion transporter polypeptides 1A2, 1B1, 1B3, and 2B1 are not associated with breast cancer risk. Breast Cancer Research and Treatment. 125(2). 563–569. 13 indexed citations
6.
Rabstein, Sylvia, Thomas Brüning, Volker Harth, et al.. (2010). N-acetyltransferase 2, exposure to aromatic and heterocyclic amines, and receptor-defined breast cancer. European Journal of Cancer Prevention. 19(2). 100–109. 22 indexed citations
7.
Dünnebier, Thomas, Klaus Schlaefer, Michael Gilbert, et al.. (2010). No association of polymorphisms in the cell polarity gene SCRIB with breast cancer risk. Breast Cancer Research and Treatment. 127(1). 259–264. 1 indexed citations
8.
Rabstein, Sylvia, Beate Pesch, Volker Harth, et al.. (2010). Untersuchung von Eigenangaben zu Schichtarbeit. Zentralblatt für Arbeitsmedizin Arbeitsschutz und Ergonomie. 60(9). 316–317.
9.
Pesch, Beate, Volker Harth, Sylvia Rabstein, et al.. (2009). Night work and breast cancer – results from the German GENICA study. Scandinavian Journal of Work Environment & Health. 36(2). 134–141. 104 indexed citations
10.
Dünnebier, Thomas, Justo Lorenzo Bermejo, Susanne Haas, et al.. (2009). Polymorphisms in the UBC9 and PIAS3 genes of the SUMO-conjugating system and breast cancer risk. Breast Cancer Research and Treatment. 121(1). 185–194. 25 indexed citations
11.
Dünnebier, Thomas, Justo Lorenzo Bermejo, Susanne Haas, et al.. (2009). Common variants in the UBC9 gene encoding the SUMO‐conjugating enzyme are associated with breast tumor grade. International Journal of Cancer. 125(3). 596–602. 34 indexed citations
12.
Justenhoven, Christina, Stefan Winter, Ute Hamann, et al.. (2009). No evidence for glutathione S-transferases GSTA2, GSTM2, GSTO1, GSTO2, and GSTZ1 in breast cancer risk. Breast Cancer Research and Treatment. 121(2). 497–502. 29 indexed citations
13.
Justenhoven, Christina, Ute Hamann, Christiane Barbara Pierl, et al.. (2008). CYP2C19*17 is associated with decreased breast cancer risk. Breast Cancer Research and Treatment. 115(2). 391–396. 58 indexed citations
14.
Justenhoven, Christina, Christiane Barbara Pierl, Susanne Haas, et al.. (2008). Polymorphic loci of E2F2, CCND1 and CCND3 are associated with HER2 status of breast tumors. International Journal of Cancer. 124(9). 2077–2081. 23 indexed citations
15.
Justenhoven, Christina, Christiane Barbara Pierl, Susanne Haas, et al.. (2007). The CYP1B1_1358_GG genotype is associated with estrogen receptor-negative breast cancer. Breast Cancer Research and Treatment. 111(1). 171–177. 30 indexed citations
16.
Justenhoven, Christina, Ute Hamann, Falk Schubert, et al.. (2007). Breast cancer: a candidate gene approach across the estrogen metabolic pathway. Breast Cancer Research and Treatment. 108(1). 137–149. 67 indexed citations
17.
Justenhoven, Christina, Ute Hamann, Beate Pesch, et al.. (2005). Breast cancer risk is linked with ERCC2 genotypes and a corresponding haplotype in a German population. Cancer Research. 65. 960–960. 1 indexed citations
18.
Rashid, Muhammad Usman, Anna Jakubowska, Christina Justenhoven, et al.. (2005). German populations with infrequent CHEK2*1100delC and minor associations with early-onset and familial breast cancer. European Journal of Cancer. 41(18). 2896–2903. 27 indexed citations
19.
Pesch, Beate, Yon Ko, Hiltrud Brauch, et al.. (2005). Factors Modifying the Association Between Hormone-Replacement Therapy and Breast Cancer Risk. European Journal of Epidemiology. 20(8). 699–711. 39 indexed citations
20.
Abraham, Benny K., Christina Justenhoven, Beate Pesch, et al.. (2005). Investigation of Genetic Variants of Genes of the Hemochromatosis Pathway and Their Role in Breast Cancer. Cancer Epidemiology Biomarkers & Prevention. 14(5). 1102–1107. 28 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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