Richard L. Proia

32.4k total citations · 6 hit papers
196 papers, 21.0k citations indexed

About

Richard L. Proia is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Richard L. Proia has authored 196 papers receiving a total of 21.0k indexed citations (citations by other indexed papers that have themselves been cited), including 153 papers in Molecular Biology, 90 papers in Physiology and 52 papers in Cell Biology. Recurrent topics in Richard L. Proia's work include Sphingolipid Metabolism and Signaling (94 papers), Lysosomal Storage Disorders Research (72 papers) and Glycosylation and Glycoproteins Research (34 papers). Richard L. Proia is often cited by papers focused on Sphingolipid Metabolism and Signaling (94 papers), Lysosomal Storage Disorders Research (72 papers) and Glycosylation and Glycoproteins Research (34 papers). Richard L. Proia collaborates with scholars based in United States, Germany and Japan. Richard L. Proia's co-authors include María L. Allende, Timothy Hla, Tadashi Yamashita, Ana Olivera, Konrad Sandhoff, Ying Xu, Jason G. Cyster, Charles G. Lo, Guy Cinamon and Mehrdad Matloubian and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Richard L. Proia

191 papers receiving 20.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Lymphocyte egress from thymus and peripheral lymphoid organs is dependent on S1P receptor 1

2004 2.1k citations Ying Xu, María L. Allende et al. profile →
Edg-1, the G protein–coupled receptor for sphingosine-1-phosphate, is essential for vascular maturation

2000 965 citations Yujing Liu, Ryuichi Wada et al. Journal of Clinical Investigation profile →
Lysosomal Glycosphingolipid Recognition by NKT Cells

2004 780 citations Dapeng Zhou, Jochen Mattner et al. Science profile →
Essential Role for Sphingosine Kinases in Neural and Vascular Development

2005 593 citations Tadashi Yamashita, Richard L. Proia et al. profile →
The alliance of sphingosine-1-phosphate and its receptors in immunity

2008 525 citations Richard L. Proia et al. profile →
Emerging biology of sphingosine-1-phosphate: its role in pathogenesis and therapy

2015 420 citations Richard L. Proia, Timothy Hla Journal of Clinical Investigation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Richard L. Proia United States	74	14.4k	5.8k	5.5k	5.2k	1.8k	196	21.0k
Hugh Rosen United States	66	9.7k 0.7×	1.4k 0.2×	5.3k 1.0×	2.1k 0.4×	1.5k 0.8×	198	16.4k
Len Stephens United Kingdom	67	13.3k 0.9×	1.6k 0.3×	3.9k 0.7×	4.7k 0.9×	785 0.4×	177	19.1k
Phillip T. Hawkins United Kingdom	66	12.8k 0.9×	1.6k 0.3×	3.7k 0.7×	4.5k 0.9×	785 0.4×	181	18.7k
Yukiko Gotoh Japan	75	19.2k 1.3×	1.8k 0.3×	2.5k 0.5×	3.9k 0.7×	1.0k 0.6×	153	25.8k
Christopher G. Proud United Kingdom	85	17.6k 1.2×	2.4k 0.4×	1.8k 0.3×	3.7k 0.7×	1.9k 1.1×	346	22.9k
Alex Toker United States	73	15.1k 1.0×	1.4k 0.2×	2.3k 0.4×	3.7k 0.7×	943 0.5×	136	20.5k
Rony Seger Israel	70	14.9k 1.0×	1.3k 0.2×	2.5k 0.5×	3.1k 0.6×	705 0.4×	206	22.2k
Gregory A. Grabowski United States	63	5.7k 0.4×	9.2k 1.6×	917 0.2×	5.1k 1.0×	2.6k 1.5×	261	13.6k
Roberto Zoncu United States	45	12.6k 0.9×	2.7k 0.5×	1.6k 0.3×	4.8k 0.9×	4.8k 2.7×	71	20.2k
J. Simon C. Arthur United Kingdom	65	10.0k 0.7×	970 0.2×	3.5k 0.6×	2.2k 0.4×	1.0k 0.6×	174	16.2k

Countries citing papers authored by Richard L. Proia

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

1.

Nitzsche, Anja, Kevin Boyé, Philippe Bonnin, et al.. (2024). Zonation and ligand and dose dependence of sphingosine 1-phosphate receptor-1 signalling in blood and lymphatic vasculature. Cardiovascular Research. 120(14). 1794–1810. 1 indexed citations

2.

Zhu, Hongling, Colleen Byrnes, Y Terry Lee, et al.. (2023). SARS‐CoV‐2 ORF3a expression in brain disrupts the autophagy–lysosomal pathway, impairs sphingolipid homeostasis, and drives neuropathogenesis. The FASEB Journal. 37(5). e22919–e22919. 16 indexed citations

3.

Han, Sangwoo T., Elena‐Raluca Nicoli, Mari Kono, et al.. (2023). Gene expression changes in Tay–Sachs disease begin early in fetal brain development. Journal of Inherited Metabolic Disease. 46(4). 687–694. 6 indexed citations

4.

Mondal, Koushik, Hunter L. Porter, David M. Sherry, et al.. (2023). The Role of Sphingosine-1-Phosphate Receptor 2 in Mouse Retina Light Responses. Biomolecules. 13(12). 1691–1691. 1 indexed citations

5.

Kuo, Andrew, Antonio Checa, Colin Niaudet, et al.. (2022). Murine endothelial serine palmitoyltransferase 1 (SPTLC1) is required for vascular development and systemic sphingolipid homeostasis. eLife. 11. 14 indexed citations

6.

Kono, Mari, et al.. (2022). Identification of two lipid phosphatases that regulate sphingosine-1-phosphate cellular uptake and recycling. Journal of Lipid Research. 63(6). 100225–100225. 8 indexed citations

7.

Proia, Richard L., et al.. (2020). Opposing Roles of S1P3 Receptors in Myocardial Function. Cells. 9(8). 1770–1770. 10 indexed citations

8.

Galvani, Sylvain, Marie Sanson, Victoria A. Blaho, et al.. (2015). HDL-bound sphingosine 1-phosphate acts as a biased agonist for the endothelial cell receptor S1P ₁ to limit vascular inflammation. Science Signaling. 8(389). ra79–ra79. 252 indexed citations

9.

Tabeling, Christoph, Liming Wang, Neil M. Goldenberg, et al.. (2015). CFTR and sphingolipids mediate hypoxic pulmonary vasoconstriction. Proceedings of the National Academy of Sciences. 112(13). E1614–23. 72 indexed citations

10.

Hughes, J., Suseela Srinivasan, Kevin R. Lynch, et al.. (2008). Sphingosine-1-Phosphate Induces an Antiinflammatory Phenotype in Macrophages. Circulation Research. 102(8). 950–958. 208 indexed citations

11.

Kabashima, Kenji, Nicole M. Haynes, Ying Xu, et al.. (2006). Plasma cell S1P1 expression determines secondary lymphoid organ retention versus bone marrow tropism. The Journal of Experimental Medicine. 203(12). 2683–2690. 167 indexed citations

12.

Yamashita, Tadashi, et al.. (2005). Conditional LoxP‐flanked glucosylceramide synthase allele controlling glycosphingolipid synthesis. genesis. 43(4). 175–180. 34 indexed citations

13.

Zhou, Dapeng, Jochen Mattner, Carlos Cantu, et al.. (2004). Lysosomal Glycosphingolipid Recognition by NKT Cells. Science. 306(5702). 1786–1789. 780 indexed citations breakdown →

14.

Wu, Yunping & Richard L. Proia. (2004). Deletion of macrophage-inflammatory protein 1α retards neurodegeneration in Sandhoff disease mice. Proceedings of the National Academy of Sciences. 101(22). 8425–8430. 152 indexed citations

15.

Mizukami, Hiroki, Yide Mi, Ryuichi Wada, et al.. (2002). Systemic inflammation in glucocerebrosidase-deficient mice with minimal glucosylceramide storage. Journal of Clinical Investigation. 109(9). 1215–1221. 107 indexed citations

16.

Mizukami, Hiroki, Yide Mi, Ryuichi Wada, et al.. (2002). Systemic inflammation in glucocerebrosidase-deficient mice with minimal glucosylceramide storage. Journal of Clinical Investigation. 109(9). 1215–1221. 118 indexed citations

17.

Kawai, Hiromichi, María L. Allende, Ryuichi Wada, et al.. (2001). Mice Expressing Only Monosialoganglioside GM3 Exhibit Lethal Audiogenic Seizures. Journal of Biological Chemistry. 276(10). 6885–6888. 195 indexed citations

18.

Yamashita, Tadashi, Ryuichi Wada, Teiji Sasaki, et al.. (1999). A vital role for glycosphingolipid synthesis during development and differentiation. Proceedings of the National Academy of Sciences. 96(16). 9142–9147. 398 indexed citations

19.

Kawai, Hiromichi, et al.. (1998). Embryonic Stem Cells with a Disrupted GD3 Synthase Gene Undergo Neuronal Differentiation in the Absence of b-Series Gangliosides. Journal of Biological Chemistry. 273(31). 19634–19638. 41 indexed citations

20.

Yamanaka, Shoji, Olivia Johnson, Myung Soo Lyu, Christine A. Kozak, & Richard L. Proia. (1994). The Mouse Gene Encoding the GM2 Activator Protein (Gm2a): cDNA Sequence, Expression, and Chromosome Mapping. Genomics. 24(3). 601–604. 6 indexed citations

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.

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