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
- Genomics and Rare Diseases 5
- Genomic variations and chromosomal abnormalities 5
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- Cancer Genomics and Diagnostics 9
- Breast Cancer Treatment Studies 3
- 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)Sonya Reid (9 shared papers)
- Journals
- Breast Cancer Research and Treatment (3 papers)Cancer (2 papers)Genetics in Medicine (2 papers)JAMA Network Open (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Anne Weidner
24 papers receiving 403 citations
Peers
Comparison fields: 5 of 47
- Genetics 341
- Cancer Research 109
- Oncology 96
- Pediatrics, Perinatology and Child Health 67
- Pathology and Forensic Medicine 51
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 199 | |
| 2 | 2020 | 30 | |
| 3 | 2021 | 29 | |
| 4 | 2019 | 26 | |
| 5 | 2022 | 18 | |
| 6 | 2020 | 18 | |
| 7 | 2021 | 17 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2018 | 10 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Anne Weidner
Anne Weidner is a scholar working on Genetics, Cancer Research, Molecular Biology, Pediatrics, Perinatology and Child Health and Oncology, having authored 25 papers that have together received 411 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (22 papers), Cancer Genomics and Diagnostics (9 papers), Genomics and Rare Diseases (5 papers), Genomic variations and chromosomal abnormalities (5 papers), DNA Repair Mechanisms (4 papers), Breast Cancer Treatment Studies (3 papers), Prenatal Screening and Diagnostics (3 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Genetics (341 citations), Cancer Research (109 citations), Oncology (96 citations), Pediatrics, Perinatology and Child Health (67 citations) and Pathology and Forensic Medicine (51 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, Sonya Reid, Marleah Dean and Georgia L. Wiesner. Their work appears in journals such as Breast Cancer Research and Treatment, Cancer, Genetics in Medicine, JAMA Network Open and Cancer Research.
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.