Anne Weidner
Impact in
- Genetics top 5%
- BRCA gene mutations in cancer
- Genomics and Rare Diseases
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- Cancer Genomics and Diagnostics
Papers in
- Genetics 22
- BRCA gene mutations in cancer 22
- Genomic variations and chromosomal abnormalities 4
- Genomics and Rare Diseases 2
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- Cancer Genomics and Diagnostics 6
- Breast Cancer Treatment Studies 2
- Co-authors
- Tuya Pal (24 shared papers)Deborah Cragun (16 shared papers)Susan T. Vadaparampil (4 shared papers)Devon Bonner (1 shared paper)Courtney Lewis (1 shared paper)Jongphil Kim (1 shared paper)Kate Clouse (5 shared papers)Lena H. Ernst (2 shared papers)
- Journals
- Breast Cancer Research and Treatment (3 papers)Cancer (2 papers)Genetics in Medicine (2 papers)Journal of Clinical Oncology (1 paper)Patient Education and Counseling (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Anne Weidner
26 papers receiving 481 citations
Peers
Comparison fields: 5 of 58
- Genetics 323
- Cancer Research 63
- Applied Psychology 16
- Oncology 56
- Cognitive Neuroscience 39
Countries citing papers authored by Anne Weidner
This map shows the geographic impact of Anne Weidner'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 Anne Weidner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne Weidner more than expected).
Fields of papers citing papers by Anne Weidner
This network shows the impact of papers produced by Anne Weidner. 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 Anne Weidner. The network helps show where Anne Weidner may publish in the future.
Co-authors
The 25 scholars most cited alongside Anne Weidner, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 205 | |
| 2 | 2013 | 49 | |
| 3 | 2020 | 31 | |
| 4 | 2021 | 29 | |
| 5 | 2019 | 28 | |
| 6 | 2020 | 19 | |
| 7 | 2022 | 18 | |
| 8 | 2021 | 18 | |
| 9 | 2012 | 16 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2021 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2024 | 2 |
About Anne Weidner
Anne Weidner is a scholar working on Genetics, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and Cognitive Neuroscience, having authored 27 papers that have together received 490 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (22 papers), Cancer Genomics and Diagnostics (6 papers), Genomic variations and chromosomal abnormalities (4 papers), Genomics and Rare Diseases (2 papers), Behavioral Health and Interventions (2 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers), Neural and Behavioral Psychology Studies (2 papers) and Breast Cancer Treatment Studies (2 papers). The work is most often cited by research in Genetics (323 citations), Cancer Research (63 citations), Applied Psychology (16 citations), Oncology (56 citations) and Cognitive Neuroscience (39 citations). Anne Weidner has collaborated with scholars based in United States and Germany. Frequent co-authors include Tuya Pal, Deborah Cragun, Susan T. Vadaparampil, Devon Bonner, Courtney Lewis, Jongphil Kim, Kate Clouse, Lena H. Ernst, Andreas J. Fallgatter and Ann‐Christine Ehlis. Their work appears in journals such as Breast Cancer Research and Treatment, Cancer, Genetics in Medicine, Journal of Clinical Oncology and Patient Education and Counseling.
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.