John P. Bida
Impact in
- Hepatology top 1%
- Liver Disease and Transplantation
- Liver Diseases and Immunity
- Epidemiology top 0.5%
- Liver Disease Diagnosis and Treatment
Papers in
-
- RNA Research and Splicing 3
- RNA modifications and cancer 2
- RNA and protein synthesis mechanisms 2
- Angiogenesis and VEGF in Cancer 1
-
- Multiple Myeloma Research and Treatments 3
- Co-authors
- Terry M. Therneau (5 shared papers)Paul Angulo (1 shared paper)Jacob George (1 shared paper)Christopher P. Day (1 shared paper)Sushma Saksena (1 shared paper)Felicity Enders (1 shared paper)Marco Lenzi (1 shared paper)Jason M. Hui (1 shared paper)
- Journals
- Blood (2 papers)RNA (1 paper)Gastroenterology (1 paper)Radiology (1 paper)Clinical Gastroenterology and Hepatology (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
John P. Bida
15 papers receiving 3.5k citations
John P. Bida's Hit Papers
Peers
Comparison fields: 5 of 101
- Hepatology 709
- Epidemiology 2.2k
- Endocrinology, Diabetes and Metabolism 539
- Nephrology 210
- Hematology 200
Countries citing papers authored by John P. Bida
This map shows the geographic impact of John P. Bida'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 John P. Bida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John P. Bida more than expected).
Fields of papers citing papers by John P. Bida
This network shows the impact of papers produced by John P. Bida. 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 John P. Bida. The network helps show where John P. Bida may publish in the future.
Co-authors
The 25 scholars most cited alongside John P. Bida, 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 | The NAFLD fibrosis score Hit paper breakdown → | 2007 | 2453 |
| 2 | 2013 | 289 | |
| 3 | 2006 | 285 | |
| 4 | 2009 | 144 | |
| 5 | 2006 | 119 | |
| 6 | 2007 | 107 | |
| 7 | 2009 | 53 | |
| 8 | 2013 | 52 | |
| 9 | 2012 | 41 | |
| 10 | 2009 | 24 | |
| 11 | 2012 | 24 | |
| 12 | 2013 | 18 | |
| 13 | Preliminary report of the Hepatic Encephalopathy Assessment Driving Simulator (HEADS) score. | 2008 | 4 |
| 14 | Early experience with HEADS: Hepatic encephalopathy assessment driving simulator | 2006 | 4 |
| 15 | 2005 | 1 |
About John P. Bida
John P. Bida is a scholar working on Molecular Biology, Hematology, Health, Toxicology and Mutagenesis, Physical Therapy, Sports Therapy and Rehabilitation and Cancer Research, having authored 15 papers that have together received 3.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Multiple Myeloma Research and Treatments (3 papers), Older Adults Driving Studies (2 papers), RNA modifications and cancer (2 papers), RNA and protein synthesis mechanisms (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Hepatology (709 citations), Epidemiology (2.2k citations), Endocrinology, Diabetes and Metabolism (539 citations), Nephrology (210 citations) and Hematology (200 citations). John P. Bida has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Terry M. Therneau, Paul Angulo, Jacob George, Christopher P. Day, Sushma Saksena, Felicity Enders, Marco Lenzi, Jason M. Hui, Geoffrey C. Farrell and James G. Kench. Their work appears in journals such as Blood, RNA, Gastroenterology, Radiology and Clinical Gastroenterology and Hepatology.
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.