Nina Ditsch
Impact in
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer survivorship and care
Papers in
- Co-authors
- Udo Jeschke (61 shared papers)Doris Mayr (36 shared papers)Klaus Friese (16 shared papers)Miriam Lenhard (11 shared papers)Bettina Tóth (11 shared papers)Julia Gallwas (15 shared papers)Christina Kühn (30 shared papers)Sabine Heublein (12 shared papers)
- Journals
- International Journal of Molecular Sciences (12 papers)Cancers (8 papers)Journal of Cancer Research and Clinical Oncology (7 papers)Archives of Gynecology and Obstetrics (6 papers)BMC Cancer (5 papers)
- Partner nations
- GermanyFranceSwitzerland
In The Last Decade
Nina Ditsch
106 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 107
- Reproductive Medicine 160
- Oncology 443
- Cancer Research 225
- Obstetrics and Gynecology 106
- Genetics 405
Countries citing papers authored by Nina Ditsch
This map shows the geographic impact of Nina Ditsch'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 Nina Ditsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Ditsch more than expected).
Fields of papers citing papers by Nina Ditsch
This network shows the impact of papers produced by Nina Ditsch. 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 Nina Ditsch. The network helps show where Nina Ditsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Nina Ditsch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 127 | |
| 2 | 2011 | 88 | |
| 3 | 2012 | 76 | |
| 4 | 2017 | 71 | |
| 5 | 2012 | 59 | |
| 6 | 2009 | 55 | |
| 7 | 2013 | 55 | |
| 8 | 2012 | 50 | |
| 9 | Thyroid function in breast cancer patients. | 2010 | 48 |
| 10 | 2016 | 45 | |
| 11 | 2013 | 40 | |
| 12 | 2015 | 38 | |
| 13 | 2011 | 36 | |
| 14 | 2011 | 35 | |
| 15 | CEA-, Her2/neu-, BCRP- and Hsp27-positive microparticles in breast cancer patients. | 2010 | 32 |
| 16 | 2014 | 31 | |
| 17 | 2012 | 29 | |
| 18 | 2017 | 29 | |
| 19 | 2020 | 29 | |
| 20 | 2013 | 28 |
About Nina Ditsch
Nina Ditsch is a scholar working on Genetics, Oncology, Molecular Biology, Immunology and Cancer Research, having authored 116 papers that have together received 1.8k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (21 papers), BRCA gene mutations in cancer (13 papers), Breast Cancer Treatment Studies (12 papers), Cancer Cells and Metastasis (9 papers), Retinoids in leukemia and cellular processes (8 papers), Ovarian cancer diagnosis and treatment (7 papers), HER2/EGFR in Cancer Research (7 papers) and Galectins and Cancer Biology (6 papers). The work is most often cited by research in Reproductive Medicine (160 citations), Oncology (443 citations), Cancer Research (225 citations), Obstetrics and Gynecology (106 citations) and Genetics (405 citations). Nina Ditsch has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Udo Jeschke, Doris Mayr, Klaus Friese, Miriam Lenhard, Bettina Tóth, Julia Gallwas, Christina Kühn, Sabine Heublein, Rita K. Schmutzler and Karin Kast. Their work appears in journals such as International Journal of Molecular Sciences, Cancers, Journal of Cancer Research and Clinical Oncology, Archives of Gynecology and Obstetrics and BMC 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.