Christian Baisch

1.1k citations
25 papers · 775 indexed · h-index 16
Topics
Estrogen and related hormone effects (7 papers)DNA Repair Mechanisms (4 papers)BRCA gene mutations in cancer (4 papers)
Partner nations
GermanyPolandNetherlands

In The Last Decade

Christian Baisch

23 papers receiving 755 citations

Peers

Christian Baisch
Comparison fields: 5 of 84
  • Molecular Biology 357
  • Genetics 232
  • Oncology 219
  • Endocrine and Autonomic Systems 132
  • Cancer Research 112
Replace Ute Hamann with:
Ute Hamann Germany
Christina Justenhoven Germany
Dragana Tomic United States
Charla M. Blacker United States
R Vihko Finland
Yu‐Chi Lee United States
Shiva Krishnan United States
Jau-Nan Lee Taiwan
Yelena Afanasyeva United States
Bengt Frode Kase Norway
Christian Baisch relative to Ute Hamann Germany Ute Hamann's profile →
Citations per field
00.5×1.5×
Ute Hamann · 1×
Citations per year

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
#WorkIndexed citations
1 38
2 37
3 1
4 14
5 13
6 22
7 1
8 0
9 104
10 25
11 34
12 29
13 58
14 23
15 30
16 67
17
Breast cancer risk is linked with ERCC2 genotypes and a corresponding haplotype in a German population
1
18 27
19 39
20 28

About Christian Baisch

Christian Baisch is a scholar working on Endocrine and Autonomic Systems, Genetics and Oncology, having authored 25 papers that have together received 775 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), DNA Repair Mechanisms (4 papers) and BRCA gene mutations in cancer (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (132 citations), Pharmacology (85 citations) and Genetics (232 citations). Christian Baisch has collaborated with scholars based in Germany, Poland and Netherlands. Frequent 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. Their work appears in journals such as Cancer Research, International Journal of Cancer and European Journal of Cancer.

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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