Jordan E. Eichholz
Impact in
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- Cancer Genomics and Diagnostics
Papers in
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- Brain Metastases and Treatment 5
- Lung Cancer Treatments and Mutations 2
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Daniel Richard Gomez (6 shared papers)Bob T. Li (6 shared papers)Pedram Razavi (1 shared paper)Helena Alexandra Yu (1 shared paper)Harish Vasudevan (1 shared paper)Boris A. Mueller (1 shared paper)Anna Skakodub (2 shared papers)Kathryn Ries Tringale (2 shared papers)
- Journals
- Nature Communications (2 papers)Nature (2 papers)European Urology Oncology (1 paper)JAMA Network Open (1 paper)Journal of neurosurgery (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Jordan E. Eichholz
16 papers receiving 259 citations
Jordan E. Eichholz's Hit Papers
Peers
Comparison fields: 5 of 40
- Health Informatics 9
- Cancer Research 53
- Pulmonary and Respiratory Medicine 83
- Oncology 50
- Radiology, Nuclear Medicine and Imaging 19
Countries citing papers authored by Jordan E. Eichholz
This map shows the geographic impact of Jordan E. Eichholz'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 Jordan E. Eichholz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan E. Eichholz more than expected).
Fields of papers citing papers by Jordan E. Eichholz
This network shows the impact of papers produced by Jordan E. Eichholz. 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 Jordan E. Eichholz. The network helps show where Jordan E. Eichholz may publish in the future.
Co-authors
The 25 scholars most cited alongside Jordan E. Eichholz, 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 | Automated real-world data integration improves cancer outcome prediction Hit paper breakdown → | 2024 | 92 |
| 2 | 2023 | 46 | |
| 3 | 2022 | 34 | |
| 4 | 2025 | 26 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 13 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Jordan E. Eichholz
Jordan E. Eichholz is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Surgery, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 263 indexed citations. Recurring topics across this work include Brain Metastases and Treatment (5 papers), Cancer Genomics and Diagnostics (3 papers), Lung Cancer Research Studies (2 papers), Lung Cancer Treatments and Mutations (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), RNA modifications and cancer (1 paper), Renal and related cancers (1 paper) and Urinary and Genital Oncology Studies (1 paper). The work is most often cited by research in Health Informatics (9 citations), Cancer Research (53 citations), Pulmonary and Respiratory Medicine (83 citations), Oncology (50 citations) and Radiology, Nuclear Medicine and Imaging (19 citations). Jordan E. Eichholz has collaborated with scholars based in United States and Italy. Frequent co-authors include Daniel Richard Gomez, Bob T. Li, Pedram Razavi, Helena Alexandra Yu, Harish Vasudevan, Boris A. Mueller, Anna Skakodub, Kathryn Ries Tringale, Brandon S. Imber and Jorge Sergio Reis-Filho. Their work appears in journals such as Nature Communications, Nature, European Urology Oncology, JAMA Network Open and Journal of neurosurgery.
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.