Sandra L. Cottingham
Impact in
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Cancer Genomics and Diagnostics 25
- Oncology 18
- Cancer-related Molecular Pathways 6
- Pancreatic and Hepatic Oncology Research 5
- Co-authors
- Donald W. Pfaff (5 shared papers)Mary E. Winn (2 shared papers)Karl J. Dykema (3 shared papers)Steven M. Paul (2 shared papers)Julie M. Koeman (2 shared papers)Jacqueline N. Crawley (2 shared papers)Pascale Montpied (2 shared papers)Mark C. Austin (1 shared paper)
- Journals
- Cell (16 papers)Cell Reports (12 papers)Cancer Cell (9 papers)Journal of Neuropathology & Experimental Neurology (3 papers)Cell Systems (3 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Sandra L. Cottingham
65 papers receiving 24.6k citations
Sandra L. Cottingham's Hit Papers
Peers
Comparison fields: 5 of 161
- Cancer Research 7.3k
- Oncology 5.4k
- Molecular Biology 12.7k
- Pulmonary and Respiratory Medicine 4.6k
- Immunology 1.9k
Countries citing papers authored by Sandra L. Cottingham
This map shows the geographic impact of Sandra L. Cottingham'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 Sandra L. Cottingham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra L. Cottingham more than expected).
Fields of papers citing papers by Sandra L. Cottingham
This network shows the impact of papers produced by Sandra L. Cottingham. 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 Sandra L. Cottingham. The network helps show where Sandra L. Cottingham may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandra L. Cottingham, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 2 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 3 | Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer Hit paper breakdown → | 2017 | 1931 |
| 4 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1720 |
| 5 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1714 |
| 6 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 7 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 810 |
| 8 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 749 |
| 9 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 685 |
| 10 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 606 |
| 11 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 583 |
| 12 | Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma Hit paper breakdown → | 2020 | 572 |
| 13 | The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma Hit paper breakdown → | 2018 | 569 |
| 14 | Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma Hit paper breakdown → | 2019 | 549 |
| 15 | Proteogenomic and metabolomic characterization of human glioblastoma Hit paper breakdown → | 2021 | 456 |
| 16 | A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers Hit paper breakdown → | 2018 | 456 |
| 17 | Driver Fusions and Their Implications in the Development and Treatment of Human Cancers Hit paper breakdown → | 2018 | 451 |
| 18 | The Immune Landscape of Cancer Hit paper breakdown → | 2019 | 449 |
| 19 | Proteogenomic characterization of pancreatic ductal adenocarcinoma Hit paper breakdown → | 2021 | 399 |
| 20 | 2018 | 392 |
About Sandra L. Cottingham
Sandra L. Cottingham is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology and Neurology, having authored 67 papers that have together received 24.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (25 papers), Ferroptosis and cancer prognosis (12 papers), RNA modifications and cancer (9 papers), Cancer-related Molecular Pathways (6 papers), Lung Cancer Treatments and Mutations (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), Renal cell carcinoma treatment (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Cancer Research (7.3k citations), Oncology (5.4k citations), Molecular Biology (12.7k citations), Pulmonary and Respiratory Medicine (4.6k citations) and Immunology (1.9k citations). Sandra L. Cottingham has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Donald W. Pfaff, Mary E. Winn, Karl J. Dykema, Steven M. Paul, Julie M. Koeman, Jacqueline N. Crawley, Pascale Montpied, Mark C. Austin, Edward I. Ginns and Erin C. McKay. Their work appears in journals such as Cell, Cell Reports, Cancer Cell, Journal of Neuropathology & Experimental Neurology and Cell Systems.
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.