Mark A. Nelson
Impact in
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
-
- Cancer Genomics and Diagnostics 19
- Carcinogens and Genotoxicity Assessment 9
- Oncology 28
- Cutaneous Melanoma Detection and Management 12
- Cancer-related Molecular Pathways 12
- Co-authors
- Jiaqi Shi (13 shared papers)Richard J. Bull (4 shared papers)Julie A. Wymer (8 shared papers)Idalia M. Sanchez (3 shared papers)Anne‐Christine Goulet (8 shared papers)Jeffrey L. Larson (1 shared paper)Anupama Chandramouli (9 shared papers)Achyut K Bhattacharyya (9 shared papers)
- Journals
- Cell Reports (11 papers)Cancer Biology & Therapy (10 papers)Cell (10 papers)Cancer Letters (6 papers)Clinical and Experimental Hypertension (5 papers)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Mark A. Nelson
123 papers receiving 24.7k citations
Mark A. Nelson's Hit Papers
Peers
Comparison fields: 5 of 146
- Cancer Research 6.6k
- Oncology 5.1k
- Pulmonary and Respiratory Medicine 4.3k
- Molecular Biology 7.9k
- Genetics 671
Countries citing papers authored by Mark A. Nelson
This map shows the geographic impact of Mark A. Nelson'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 Mark A. Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. Nelson more than expected).
Fields of papers citing papers by Mark A. Nelson
This network shows the impact of papers produced by Mark A. Nelson. 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 Mark A. Nelson. The network helps show where Mark A. Nelson may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark A. Nelson, 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 124 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 | 2633 |
| 2 | The Molecular Taxonomy of Primary Prostate Cancer Hit paper breakdown → | 2015 | 2464 |
| 3 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2371 |
| 4 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1758 |
| 5 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1748 |
| 6 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1634 |
| 7 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 824 |
| 8 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 768 |
| 9 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 696 |
| 10 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 617 |
| 11 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 598 |
| 12 | The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma Hit paper breakdown → | 2018 | 580 |
| 13 | A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers Hit paper breakdown → | 2018 | 470 |
| 14 | Driver Fusions and Their Implications in the Development and Treatment of Human Cancers Hit paper breakdown → | 2018 | 457 |
| 15 | The Immune Landscape of Cancer Hit paper breakdown → | 2019 | 455 |
| 16 | lncRNA Epigenetic Landscape Analysis Identifies EPIC1 as an Oncogenic lncRNA that Interacts with MYC and Promotes Cell-Cycle Progression in Cancer Hit paper breakdown → | 2018 | 394 |
| 17 | Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer Hit paper breakdown → | 2018 | 384 |
| 18 | 2018 | 378 | |
| 19 | 2018 | 349 | |
| 20 | 2018 | 327 |
About Mark A. Nelson
Mark A. Nelson is a scholar working on Cancer Research, Oncology, Molecular Biology, Nutrition and Dietetics and Pharmacology, having authored 124 papers that have together received 25.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (19 papers), Cutaneous Melanoma Detection and Management (12 papers), Cancer-related Molecular Pathways (12 papers), Carcinogens and Genotoxicity Assessment (9 papers), Hormonal Regulation and Hypertension (8 papers), Selenium in Biological Systems (8 papers), Cell death mechanisms and regulation (6 papers) and Esophageal Cancer Research and Treatment (5 papers). The work is most often cited by research in Cancer Research (6.6k citations), Oncology (5.1k citations), Pulmonary and Respiratory Medicine (4.3k citations), Molecular Biology (7.9k citations) and Genetics (671 citations). Mark A. Nelson has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Jiaqi Shi, Richard J. Bull, Julie A. Wymer, Idalia M. Sanchez, Anne‐Christine Goulet, Jeffrey L. Larson, Anupama Chandramouli, Achyut K Bhattacharyya, Antonio T. Baines and John W.B. Hershey. Their work appears in journals such as Cell Reports, Cancer Biology & Therapy, Cell, Cancer Letters and Clinical and Experimental Hypertension.
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.