Stephen Soviero
Impact in
- Hepatology top 5%
- Hepatitis C virus research
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- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
Papers in
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- Hepatitis C virus research 5
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- Lung Cancer Treatments and Mutations 5
- Co-authors
- H. Jeffrey Lawrence (4 shared papers)Karen Gutekunst (2 shared papers)Maurice Rosenstraus (2 shared papers)Lin Wu (2 shared papers)Suzanne Cheng (1 shared paper)Sweta Shah (1 shared paper)Rachel Langland (1 shared paper)Grantland Hillman (1 shared paper)
- Journals
- Journal of Clinical Microbiology (4 papers)Cancer Research (2 papers)Journal of Clinical Oncology (1 paper)Diagnostic Molecular Pathology (1 paper)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Stephen Soviero
13 papers receiving 418 citations
Peers
Comparison fields: 5 of 50
- Hepatology 202
- Epidemiology 194
- Oncology 129
- Cancer Research 63
- Infectious Diseases 51
Countries citing papers authored by Stephen Soviero
This map shows the geographic impact of Stephen Soviero'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 Stephen Soviero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Soviero more than expected).
Fields of papers citing papers by Stephen Soviero
This network shows the impact of papers produced by Stephen Soviero. 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 Stephen Soviero. The network helps show where Stephen Soviero may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Soviero, 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 | 2000 | 134 | |
| 2 | 2012 | 117 | |
| 3 | 2011 | 45 | |
| 4 | 2007 | 41 | |
| 5 | 2000 | 40 | |
| 6 | 2013 | 34 | |
| 7 | 1998 | 11 | |
| 8 | The leukocyte adherence-inhibition assay as a diagnostic test for multiple sclerosis: study of a substance found in MS blood. | 1979 | 3 |
| 9 | 2012 | 2 | |
| 10 | 2013 | 2 | |
| 11 | 2000 | 2 | |
| 12 | 2016 | 1 | |
| 13 | 2015 | 1 |
About Stephen Soviero
Stephen Soviero is a scholar working on Hepatology, Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology and Oncology, having authored 13 papers that have together received 433 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Lung Cancer Treatments and Mutations (5 papers), Hepatitis C virus research (5 papers), Hepatitis B Virus Studies (4 papers), Colorectal Cancer Treatments and Studies (3 papers), HIV/AIDS drug development and treatment (2 papers), Molecular Biology Techniques and Applications (2 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Hepatology (202 citations), Epidemiology (194 citations), Oncology (129 citations), Cancer Research (63 citations) and Infectious Diseases (51 citations). Stephen Soviero has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include H. Jeffrey Lawrence, Karen Gutekunst, Maurice Rosenstraus, Lin Wu, Suzanne Cheng, Sweta Shah, Rachel Langland, Grantland Hillman, Giuseppe Colucci and Victoria H. Brophy. Their work appears in journals such as Journal of Clinical Microbiology, Cancer Research, Journal of Clinical Oncology, Diagnostic Molecular Pathology and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.
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.