Steven A. Eschrich
- Molecular Biology top 2%
- Oncology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Pulmonary and Respiratory Medicine top 0.5%
- Cancer Research top 0.5%
- Co-authors
- Anders BerglundTimothy J. YeatmanLawrence HallRobert J. GilliesDmitry B. GoldgofJavier F. Torres–RocaDavid FenstermacherMatthew B. Schabath
- Topics
- Radiomics and Machine Learning in Medical Imaging (29 papers)Gene expression and cancer classification (21 papers)Lung Cancer Diagnosis and Treatment (18 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of Clinical Oncology
- Partner nations
- United StatesChinaPuerto Rico
In The Last Decade
Steven A. Eschrich
160 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 3.4k
- Oncology 3.2k
- Radiology, Nuclear Medicine and Imaging 2.8k
- Pulmonary and Respiratory Medicine 2.4k
- Cancer Research 1.8k
Countries citing papers authored by Steven A. Eschrich
This map shows the geographic impact of Steven A. Eschrich'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 Steven A. Eschrich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven A. Eschrich more than expected).
Fields of papers citing papers by Steven A. Eschrich
This network shows the impact of papers produced by Steven A. Eschrich. 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 Steven A. Eschrich. The network helps show where Steven A. Eschrich may publish in the future.
Co-authorship network of co-authors of Steven A. Eschrich
This figure shows the co-authorship network connecting the top 25 collaborators of Steven A. Eschrich. A scholar is included among the top collaborators of Steven A. Eschrich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven A. Eschrich. Steven A. Eschrich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 1 | |
| 6 | 31 | |
| 7 | 10 | |
| 8 | 42 | |
| 9 | 24 | |
| 10 | 54 | |
| 11 | 5 | |
| 12 | 98 | |
| 13 | 18 | |
| 14 | 23 | |
| 15 | 145 | |
| 16 | 143 | |
| 17 | 343 | |
| 18 | A robust multigene expression assay to predict clinical response to chemoradiotherapy | 1 |
| 19 | 12 | |
| 20 | Generalization methods in bioinformatics | 6 |
About Steven A. Eschrich
Steven A. Eschrich is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 170 papers that have together received 9.3k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (29 papers), Gene expression and cancer classification (21 papers) and Lung Cancer Diagnosis and Treatment (18 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.8k citations), Cancer Research (1.8k citations) and Oncology (3.2k citations). Steven A. Eschrich has collaborated with scholars based in United States, China and Puerto Rico. Frequent co-authors include Anders Berglund, Timothy J. Yeatman, Lawrence Hall, Robert J. Gillies, Dmitry B. Goldgof, Javier F. Torres–Roca, David Fenstermacher, Matthew B. Schabath, Yoganand Balagurunathan and Yuhua Gu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.
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.