Ricardo V. Lloyd
- Endocrinology, Diabetes and Metabolism top 0.02%
- Pituitary Gland Disorders and Treatments 141
- Thyroid Cancer Diagnosis and Treatment 76
- Growth Hormone and Insulin-like Growth Factors 70
- Oncology top 0.2%
- Cancer-related Molecular Pathways 34
- Neurology top 0.2%
- Neuroblastoma Research and Treatments 56
- Genetics top 0.2%
- Glioma Diagnosis and Treatment 32
- Epidemiology top 0.1%
- Neuroendocrine Tumor Research Advances 94
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- Adrenal and Paraganglionic Tumors 53
- Co-authors
- Long JinBernd W. ScheithauerKálmán KovácsBarry S. WilsonLori A. EricksonXiang QianÉva HorváthElzbieta Kulig
- Journals
- Science (1 paper)New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Ricardo V. Lloyd
523 papers receiving 23.9k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Endocrinology, Diabetes and Metabolism 10.3k
- Oncology 6.2k
- Neurology 3.3k
- Genetics 2.2k
- Epidemiology 6.5k
Countries citing papers authored by Ricardo V. Lloyd
This map shows the geographic impact of Ricardo V. Lloyd'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 Ricardo V. Lloyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricardo V. Lloyd more than expected).
Fields of papers citing papers by Ricardo V. Lloyd
This network shows the impact of papers produced by Ricardo V. Lloyd. 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 Ricardo V. Lloyd. The network helps show where Ricardo V. Lloyd may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ricardo V. Lloyd, 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 | 2023 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 10 | |
| 4 | 2020 | 14 | |
| 5 | 2018 | 117 | |
| 6 | 2016 | 33 | |
| 7 | 2014 | 4 | |
| 8 | 2009 | 98 | |
| 9 | 2008 | 49 | |
| 10 | 2007 | 407 | |
| 11 | 2006 | 185 | |
| 12 | 2006 | 47 | |
| 13 | 2005 | 7 | |
| 14 | 2004 | 24 | |
| 15 | 2004 | 7 | |
| 16 | HCV RNA expression is associated with steatosis in recurrent hepatitis C virus infection following orthotopic liver transplantation | 2002 | 1 |
| 17 | 2000 | 208 | |
| 18 | 1999 | 48 | |
| 19 | 1995 | 34 | |
| 20 | 1986 | 23 |
About Ricardo V. Lloyd
Ricardo V. Lloyd is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Neurology, having authored 529 papers that have together received 24.6k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (141 papers), Neuroendocrine Tumor Research Advances (94 papers), Thyroid Cancer Diagnosis and Treatment (76 papers), Growth Hormone and Insulin-like Growth Factors (70 papers), Neuroblastoma Research and Treatments (56 papers), Adrenal and Paraganglionic Tumors (53 papers), Cancer-related Molecular Pathways (34 papers) and Glioma Diagnosis and Treatment (32 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (10.3k citations), Oncology (6.2k citations) and Neurology (3.3k citations). Ricardo V. Lloyd has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Long Jin, Bernd W. Scheithauer, Kálmán Kovács, Barry S. Wilson, Lori A. Erickson, Xiang Qian, Éva Horváth, Elzbieta Kulig, Geoffrey B. Thompson and William F. Chandler. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.