Richard L. Proia
- Molecular Biology top 0.1%
- Physiology top 0.1%
- Immunology top 0.2%
- Cell Biology top 0.05%
- Epidemiology top 1%
- Co-authors
- María L. AllendeTimothy HlaTadashi YamashitaAna OliveraKonrad SandhoffYing XuJason G. CysterCharles G. Lo
- Topics
- Sphingolipid Metabolism and Signaling (94 papers)Lysosomal Storage Disorders Research (72 papers)Glycosylation and Glycoproteins Research (34 papers)
- Cited by
- Cell BiologyImmunologyPhysiology
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Richard L. Proia
191 papers receiving 20.7k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 14.4k
- Physiology 5.8k
- Immunology 5.5k
- Cell Biology 5.2k
- Epidemiology 1.8k
Countries citing papers authored by Richard L. Proia
This map shows the geographic impact of Richard L. Proia'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 Richard L. Proia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard L. Proia more than expected).
Fields of papers citing papers by Richard L. Proia
This network shows the impact of papers produced by Richard L. Proia. 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 Richard L. Proia. The network helps show where Richard L. Proia may publish in the future.
Co-authorship network of co-authors of Richard L. Proia
This figure shows the co-authorship network connecting the top 25 collaborators of Richard L. Proia. A scholar is included among the top collaborators of Richard L. Proia 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 Richard L. Proia. Richard L. Proia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 16 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 10 | |
| 7 | The GM1 and GM2 Gangliosidoses: Natural History and Progress toward Therapy. | 50 |
| 8 | 252 | |
| 9 | 72 | |
| 10 | 43 | |
| 11 | 208 | |
| 12 | 167 | |
| 13 | 71 | |
| 14 | Lysosomal Glycosphingolipid Recognition by NKT Cellsbreakdown → | 780 |
| 15 | 152 | |
| 16 | 107 | |
| 17 | 118 | |
| 18 | 41 | |
| 19 | 6 | |
| 20 | Identification and rapid detection of three Tay-Sachs mutations in the Moroccan Jewish population. | 28 |
About Richard L. Proia
Richard L. Proia is a scholar working on Physiology, Cell Biology and Molecular Biology, having authored 196 papers that have together received 21.0k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (94 papers), Lysosomal Storage Disorders Research (72 papers) and Glycosylation and Glycoproteins Research (34 papers). The work is most often cited by research in Cell Biology (5.2k citations), Immunology (5.5k citations) and Physiology (5.8k citations). Richard L. Proia has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include María L. Allende, Timothy Hla, Tadashi Yamashita, Ana Olivera, Konrad Sandhoff, Ying Xu, Jason G. Cyster, Charles G. Lo, Mehrdad Matloubian and Guy Cinamon. Their work appears in journals such as Nature, Science 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.