John A. Eckman
Impact in
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Genetics top 0.2%
- Glioma Diagnosis and Treatment
Papers in
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- Cancer Genomics and Diagnostics 20
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- Food Allergy and Anaphylaxis Research 6
- Co-authors
- Sarbjit S. Saini (9 shared papers)Patricia M. Sterba (7 shared papers)Laura M. Gober (4 shared papers)Robert G. Hamilton (4 shared papers)Donald W. MacGlashan (2 shared papers)Elizabeth Cotton Matsui (3 shared papers)Patrick J. Lenehan (3 shared papers)Robert A. Wood (3 shared papers)
- Journals
- Cell Reports (11 papers)Cell (11 papers)Journal of Allergy and Clinical Immunology (7 papers)Cancer Cell (4 papers)Cell Systems (3 papers)
- Partner nations
- United StatesCanada
In The Last Decade
John A. Eckman
45 papers receiving 25.0k citations
John A. Eckman's Hit Papers
Peers
Comparison fields: 5 of 156
- Cancer Research 7.8k
- Genetics 2.7k
- Oncology 5.3k
- Molecular Biology 12.7k
- Pulmonary and Respiratory Medicine 4.2k
Countries citing papers authored by John A. Eckman
This map shows the geographic impact of John A. Eckman'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 John A. Eckman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John A. Eckman more than expected).
Fields of papers citing papers by John A. Eckman
This network shows the impact of papers produced by John A. Eckman. 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 John A. Eckman. The network helps show where John A. Eckman may publish in the future.
Co-authors
The 25 scholars most cited alongside John A. Eckman, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Somatic Genomic Landscape of Glioblastoma Hit paper breakdown → | 2013 | 3977 |
| 2 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 3 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 4 | Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer Hit paper breakdown → | 2017 | 1931 |
| 5 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1720 |
| 6 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1714 |
| 7 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 8 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 810 |
| 9 | Genomic and Functional Approaches to Understanding Cancer Aneuploidy Hit paper breakdown → | 2018 | 749 |
| 10 | Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients Hit paper breakdown → | 2018 | 685 |
| 11 | Pathogenic Germline Variants in 10,389 Adult Cancers Hit paper breakdown → | 2018 | 606 |
| 12 | Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines Hit paper breakdown → | 2018 | 583 |
| 13 | The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma Hit paper breakdown → | 2018 | 569 |
| 14 | A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers Hit paper breakdown → | 2018 | 456 |
| 15 | Driver Fusions and Their Implications in the Development and Treatment of Human Cancers Hit paper breakdown → | 2018 | 451 |
| 16 | The Immune Landscape of Cancer Hit paper breakdown → | 2019 | 449 |
| 17 | 2018 | 392 | |
| 18 | Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer Hit paper breakdown → | 2018 | 372 |
| 19 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 372 |
| 20 | 2018 | 339 |
About John A. Eckman
John A. Eckman is a scholar working on Cancer Research, Immunology and Allergy, Oncology, Rheumatology and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 25.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (20 papers), Urticaria and Related Conditions (6 papers), Food Allergy and Anaphylaxis Research (6 papers), Ferroptosis and cancer prognosis (5 papers), RNA modifications and cancer (5 papers), Cancer-related Molecular Pathways (5 papers), Mast cells and histamine (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (7.8k citations), Genetics (2.7k citations), Oncology (5.3k citations), Molecular Biology (12.7k citations) and Pulmonary and Respiratory Medicine (4.2k citations). John A. Eckman has collaborated with scholars based in United States and Canada. Frequent co-authors include Sarbjit S. Saini, Patricia M. Sterba, Laura M. Gober, Robert G. Hamilton, Donald W. MacGlashan, Elizabeth Cotton Matsui, Patrick J. Lenehan, Robert A. Wood, Bruce Scott Bochner and Roger D. Peng. Their work appears in journals such as Cell Reports, Cell, Journal of Allergy and Clinical Immunology, Cancer Cell 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.