Jo Ann Rinaudo
- Oncology top 10%
- Epidemiology
- Hepatology top 5%
- Molecular Biology
- Cancer Research
- Co-authors
- Sudhir SrivastavaZiding FengPeggy S. ZelenkaJorge A. MarreroEmmanuel FarberAmit G. SingalFrances V. WellsChiaki Okuse
- Topics
- Pancreatic and Hepatic Oncology Research (14 papers)Liver Disease Diagnosis and Treatment (10 papers)Pancreatitis Pathology and Treatment (6 papers)
- Cited by
- HepatologyOncologyCancer Research
- Partner nations
- United StatesMalaysiaCanada
In The Last Decade
Jo Ann Rinaudo
27 papers receiving 677 citations
Peers
Comparison fields: 5 of 79
- Oncology 284
- Epidemiology 224
- Hepatology 216
- Molecular Biology 188
- Cancer Research 152
Countries citing papers authored by Jo Ann Rinaudo
This map shows the geographic impact of Jo Ann Rinaudo'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 Jo Ann Rinaudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jo Ann Rinaudo more than expected).
Fields of papers citing papers by Jo Ann Rinaudo
This network shows the impact of papers produced by Jo Ann Rinaudo. 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 Jo Ann Rinaudo. The network helps show where Jo Ann Rinaudo may publish in the future.
Co-authorship network of co-authors of Jo Ann Rinaudo
This figure shows the co-authorship network connecting the top 25 collaborators of Jo Ann Rinaudo. A scholar is included among the top collaborators of Jo Ann Rinaudo 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 Jo Ann Rinaudo. Jo Ann Rinaudo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 23 | |
| 3 | 32 | |
| 4 | 13 | |
| 5 | 20 | |
| 6 | 31 | |
| 7 | 1 | |
| 8 | 110 | |
| 9 | 15 | |
| 10 | 10 | |
| 11 | Evaluation of a Mixed Meal Test for Diagnosis and Characterization of PancrEaTogEniC DiabeTes Secondary to Pancreatic Cancer and Chronic Pancreatitis: Rationale and Methodology for the DETECT Study From the Consortium for the Study of Chronic Pancreatitis, Diabetes, and Pancreatic Cancer | 3 |
| 12 | 18 | |
| 13 | 25 | |
| 14 | 18 | |
| 15 | 53 | |
| 16 | 39 | |
| 17 | 8 | |
| 18 | 54 | |
| 19 | 9 | |
| 20 | 37 |
About Jo Ann Rinaudo
Jo Ann Rinaudo is a scholar working on Hepatology, Oncology and Cancer Research, having authored 27 papers that have together received 692 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (14 papers), Liver Disease Diagnosis and Treatment (10 papers) and Pancreatitis Pathology and Treatment (6 papers). The work is most often cited by research in Hepatology (216 citations), Oncology (284 citations) and Cancer Research (152 citations). Jo Ann Rinaudo has collaborated with scholars based in United States, Malaysia and Canada. Frequent co-authors include Sudhir Srivastava, Ziding Feng, Peggy S. Zelenka, Jorge A. Marrero, Emmanuel Farber, Amit G. Singal, Frances V. Wells, Chiaki Okuse, José Serrano and Brent E. Korba. Their work appears in journals such as Gastroenterology, The Journal of Clinical Endocrinology & Metabolism and Clinical Chemistry.
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.