Tuya Pal
- Reproductive Medicine top 0.5%
- Genetics top 0.5%
- BRCA gene mutations in cancer 99
- Genomics and Rare Diseases 19
- Genomic variations and chromosomal abnormalities 17
- Cancer Research top 2%
- Cancer Genomics and Diagnostics 37
-
- Genetic factors in colorectal cancer 24
- Oncology top 2%
- Global Cancer Incidence and Screening 19
- Cancer Risks and Factors 11
-
- Ethics in Clinical Research 12
- Co-authors
- Susan T. VadaparampilDeborah CragunJenny Permuth‐WeySteven A. NarodThomas A. SellersRebecca SutphenAnne WeidnerJongphil Kim
- Journals
- Genetics in Medicine (12 papers)Cancer Epidemiology Biomarkers & Prevention (7 papers)Journal of Clinical Oncology (7 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Tuya Pal
138 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Reproductive Medicine 831
- Genetics 2.4k
- Cancer Research 1.0k
- Pathology and Forensic Medicine 853
- Oncology 1.2k
Countries citing papers authored by Tuya Pal
This map shows the geographic impact of Tuya Pal'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 Tuya Pal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuya Pal more than expected).
Fields of papers citing papers by Tuya Pal
This network shows the impact of papers produced by Tuya Pal. 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 Tuya Pal. The network helps show where Tuya Pal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tuya Pal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 6 | |
| 4 | 2021 | 10 | |
| 5 | 2020 | 11 | |
| 6 | 2020 | 5 | |
| 7 | 2019 | 12 | |
| 8 | 2019 | 11 | |
| 9 | 2018 | 5 | |
| 10 | 2018 | 6 | |
| 11 | 2016 | 14 | |
| 12 | 2014 | 3 | |
| 13 | 2014 | 32 | |
| 14 | 2012 | 11 | |
| 15 | 2011 | 14 | |
| 16 | 2010 | 23 | |
| 17 | 2008 | 18 | |
| 18 | 2007 | 29 | |
| 19 | Development of a lay brochure introducing genetic testing and counseling for BRCA1/2 in women of color | 2007 | 1 |
| 20 | 2001 | 54 |
About Tuya Pal
Tuya Pal is a scholar working on Genetics, Cancer Research, Oncology, Reproductive Medicine and Pathology and Forensic Medicine, having authored 148 papers that have together received 3.9k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (99 papers), Cancer Genomics and Diagnostics (37 papers), Genetic factors in colorectal cancer (24 papers), Genomics and Rare Diseases (19 papers), Global Cancer Incidence and Screening (19 papers), Genomic variations and chromosomal abnormalities (17 papers), Ethics in Clinical Research (12 papers) and Cancer Risks and Factors (11 papers). The work is most often cited by research in Reproductive Medicine (831 citations), Genetics (2.4k citations), Cancer Research (1.0k citations), Pathology and Forensic Medicine (853 citations) and Oncology (1.2k citations). Tuya Pal has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Susan T. Vadaparampil, Deborah Cragun, Jenny Permuth‐Wey, Steven A. Narod, Thomas A. Sellers, Rebecca Sutphen, Anne Weidner, Jongphil Kim, Devon Bonner and Mary B. Daly. Their work appears in journals such as Genetics in Medicine, Cancer Epidemiology Biomarkers & Prevention, Journal of Clinical Oncology, Breast Cancer Research and Treatment and The Breast Journal.
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.