Eric Burks
Impact in
- Dermatology top 10%
- Cutaneous lymphoproliferative disorders research
- Hematology top 10%
Papers in
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 8
-
- Lung Cancer Diagnosis and Treatment 8
- Lung Cancer Treatments and Mutations 4
- Co-authors
- Thomas P. Loughran (2 shared papers)Jennifer Beane (6 shared papers)Vijaya B. Kolachalama (3 shared papers)Margrit Betke (2 shared papers)Yi Zheng (1 shared paper)J. Mark Sloan (3 shared papers)Shayna Sarosiek (2 shared papers)Richard A. Larson (3 shared papers)
- Journals
- Cancer Biomarkers (3 papers)The American Journal of Surgical Pathology (3 papers)Blood (2 papers)Human Pathology (2 papers)Amyloid (2 papers)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Eric Burks
40 papers receiving 613 citations
Peers
Comparison fields: 5 of 77
- Dermatology 61
- Hematology 63
- Genetics 57
- Microbiology 4
- Immunology 91
Countries citing papers authored by Eric Burks
This map shows the geographic impact of Eric Burks'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 Eric Burks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Burks more than expected).
Fields of papers citing papers by Eric Burks
This network shows the impact of papers produced by Eric Burks. 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 Eric Burks. The network helps show where Eric Burks may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Burks, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 115 | |
| 2 | 2020 | 90 | |
| 3 | 2006 | 76 | |
| 4 | 2005 | 58 | |
| 5 | 2020 | 39 | |
| 6 | 2020 | 37 | |
| 7 | 2017 | 28 | |
| 8 | 2020 | 15 | |
| 9 | 2015 | 14 | |
| 10 | 2024 | 14 | |
| 11 | 2018 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2020 | 8 | |
| 15 | 1998 | 8 | |
| 16 | 2023 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2004 | 7 | |
| 19 | 2003 | 7 | |
| 20 | 2004 | 7 |
About Eric Burks
Eric Burks is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Genetics and Oncology, having authored 47 papers that have together received 625 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (8 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Lung Cancer Treatments and Mutations (4 papers), AI in cancer detection (3 papers), IgG4-Related and Inflammatory Diseases (3 papers), Lymphoma Diagnosis and Treatment (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Dermatology (61 citations), Hematology (63 citations), Genetics (57 citations), Microbiology (4 citations) and Immunology (91 citations). Eric Burks has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Thomas P. Loughran, Jennifer Beane, Vijaya B. Kolachalama, Margrit Betke, Yi Zheng, J. Mark Sloan, Shayna Sarosiek, Richard A. Larson, Travis Sullivan and Ilyas Yambayev. Their work appears in journals such as Cancer Biomarkers, The American Journal of Surgical Pathology, Blood, Human Pathology and Amyloid.
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.