Stephen Soviero
Impact in
- Hepatology top 5%
- Hepatitis C virus research
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- Colorectal Cancer Treatments and Studies
- Cutaneous Melanoma Detection and Management
Papers in
-
- Hepatitis C virus research 5
- Oncology 4
- Colorectal Cancer Treatments and Studies 3
- Cutaneous Melanoma Detection and Management 1
- Co-authors
- H. Jeffrey Lawrence (3 shared papers)Maurice Rosenstraus (2 shared papers)Karen A. Gutekunst (2 shared papers)Lin Wu (2 shared papers)Rachel Langland (1 shared paper)Grantland R. Hillman (1 shared paper)Suzanne Cheng (1 shared paper)Sweta Shah (1 shared paper)
- Journals
- Journal of Clinical Microbiology (4 papers)Diagnostic Molecular Pathology (1 paper)BMC Cancer (1 paper)Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin (1 paper)Transfusion Medicine and Hemotherapy (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Stephen Soviero
10 papers receiving 424 citations
Peers
Comparison fields: 5 of 50
- Hepatology 200
- Oncology 111
- Epidemiology 137
- Cancer Research 58
- Molecular Biology 136
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 | 137 | |
| 2 | 2012 | 130 | |
| 3 | 2011 | 46 | |
| 4 | 2007 | 44 | |
| 5 | 2000 | 41 | |
| 6 | 2013 | 38 | |
| 7 | 1998 | 13 | |
| 8 | The leukocyte adherence-inhibition assay as a diagnostic test for multiple sclerosis: study of a substance found in MS blood. | 1979 | 3 |
| 9 | 2000 | 2 | |
| 10 | 2015 | 1 |
About Stephen Soviero
Stephen Soviero is a scholar working on Hepatology, Oncology, Infectious Diseases, Epidemiology and Virology, having authored 10 papers that have together received 455 indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Hepatitis B Virus Studies (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Lung Cancer Treatments and Mutations (2 papers), HIV/AIDS drug development and treatment (2 papers), Multiple Sclerosis Research Studies (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Hepatology (200 citations), Oncology (111 citations), Epidemiology (137 citations), Cancer Research (58 citations) and Molecular Biology (136 citations). Stephen Soviero has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include H. Jeffrey Lawrence, Maurice Rosenstraus, Karen A. Gutekunst, Lin Wu, Rachel Langland, Grantland R. Hillman, Suzanne Cheng, Sweta Shah, Giuseppe Colucci and Sung Lee. Their work appears in journals such as Journal of Clinical Microbiology, Diagnostic Molecular Pathology, BMC Cancer, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and Transfusion Medicine and Hemotherapy.
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.