Stephen P. Berasi

783 total citations
21 papers, 527 citations indexed

About

Stephen P. Berasi is a scholar working on Molecular Biology, Nephrology and Oncology. According to data from OpenAlex, Stephen P. Berasi has authored 21 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Nephrology and 4 papers in Oncology. Recurrent topics in Stephen P. Berasi's work include Renal Diseases and Glomerulopathies (10 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and Renal and related cancers (4 papers). Stephen P. Berasi is often cited by papers focused on Renal Diseases and Glomerulopathies (10 papers), Wnt/β-catenin signaling in development and cancer (5 papers) and Renal and related cancers (4 papers). Stephen P. Berasi collaborates with scholars based in United States, United Kingdom and Germany. Stephen P. Berasi's co-authors include Amy S. Yee, K. Eric Paulson, Mei Hong Xiu, Heather H. Shih, Ian C. Summerhayes, Kimberly Rieger‐Christ, Xiaowei Zhang, Jiyoung Kim, Michael A. McDevitt and Christine Huard and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Stephen P. Berasi

19 papers receiving 525 citations

Peers

Stephen P. Berasi
N. Ogata Japan
William Jin United States
Oak D. Jo United States
Leilani E. Beltran United Kingdom
Eunjeong Seo South Korea
Laura V. Hale United States
Giulietta Roël Netherlands
Stephen P. Berasi
Citations per year, relative to Stephen P. Berasi Stephen P. Berasi (= 1×) peers Annette Düwel

Countries citing papers authored by Stephen P. Berasi

Since Specialization
Citations

This map shows the geographic impact of Stephen P. Berasi'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 Stephen P. Berasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen P. Berasi more than expected).

Fields of papers citing papers by Stephen P. Berasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen P. Berasi. 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 Stephen P. Berasi. The network helps show where Stephen P. Berasi may publish in the future.

Co-authorship network of co-authors of Stephen P. Berasi

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen P. Berasi. A scholar is included among the top collaborators of Stephen P. Berasi 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 Stephen P. Berasi. Stephen P. Berasi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Njeim, Rachel, Alexis Sloan, Anthony J. Griswold, et al.. (2025). Modulation of the Apolipoprotein M/S1PR4 Pathway Reduces Podocyte Lipid Overload in Alport Syndrome via Distinct Autophagy and Efflux Mechanisms. Journal of the American Society of Nephrology.
2.
Schmidt, Insa M., Ashish Verma, Sophie E. Claudel, et al.. (2025). Associations of Podocyte-Derived Protein Biomarkers With Foot Process Effacement and Kidney Histopathologic Lesions in Individuals With Glomerular Disease. Kidney Medicine. 7(12). 101144–101144.
3.
Berasi, Stephen P., et al.. (2024). Development of a Multiplexed LC-MS/MS Assay for the Quantitation of Podocyte Injury Biomarkers Nephrin, Podocalyxin, and Podocin in Human Urine. Journal of Proteome Research. 24(1). 282–288. 1 indexed citations
4.
Kalantar‐Zadeh, Kamyar, Christine L. Baker, J. Brian Copley, et al.. (2021). A Retrospective Study of Clinical and Economic Burden of Focal Segmental Glomerulosclerosis (FSGS) in the United States. Kidney International Reports. 6(10). 2679–2688. 6 indexed citations
5.
Beck, Laurence H., Stephen P. Berasi, J. Brian Copley, et al.. (2021). PODO: Trial Design: Phase 2 Study of PF-06730512 in Focal Segmental Glomerulosclerosis. Kidney International Reports. 6(6). 1629–1633. 10 indexed citations
6.
Lim, Chay Ngee, et al.. (2021). A Phase 1 first‐in‐human study of the safety, tolerability, and pharmacokinetics of the ROBO2 fusion protein PF‐06730512 in healthy participants. Pharmacology Research & Perspectives. 9(4). e00813–e00813. 4 indexed citations
8.
Fan, Xueping, Sudhir Kumar, Hila Milo Rasouly, et al.. (2020). Loss of Roundabout Guidance Receptor 2 (Robo2) in Podocytes Protects Adult Mice from Glomerular Injury by Maintaining Podocyte Foot Process Structure. American Journal Of Pathology. 190(4). 799–816. 15 indexed citations
9.
Gorman, Donal, Hui Chen, Kondala R. Atkuri, et al.. (2020). Sources of Variability in Podocyte Foot Process Width Measurements and Approaches to Mitigation. Journal of the American Society of Nephrology. 31(10S). 617–617. 1 indexed citations
10.
Berasi, Stephen P., Janet E. Buhlmann, Matthew V. Russo, et al.. (2020). A ROBO2 Fusion Protein (PF-06730512) Traps SLIT Ligands and Therapeutically Ameliorates Podocyte Injury. Journal of the American Society of Nephrology. 31(10S). 25–25. 1 indexed citations
11.
Sharma, Ankur, Katrina Meeth, Christine Huard, et al.. (2020). TLR Stimulation Produces IFN-β as the Primary Driver of IFN Signaling in Nonlymphoid Primary Human Cells. ImmunoHorizons. 4(6). 332–338. 2 indexed citations
12.
Seeherman, Howard, Stephen P. Berasi, Robert Martinez, et al.. (2019). A BMP/activin A chimera is superior to native BMPs and induces bone repair in nonhuman primates when delivered in a composite matrix. Science Translational Medicine. 11(489). 47 indexed citations
13.
Tumelty, Kathleen E., et al.. (2018). Identification of direct negative cross-talk between the SLIT2 and bone morphogenetic protein–Gremlin signaling pathways. Journal of Biological Chemistry. 293(9). 3039–3055. 19 indexed citations
14.
Fan, Xueping, Sudhir Kumar, Kathleen E. Tumelty, et al.. (2016). SLIT2/ROBO2 signaling pathway inhibits nonmuscle myosin IIA activity and destabilizes kidney podocyte adhesion. JCI Insight. 1(19). e86934–e86934. 38 indexed citations
15.
Berasi, Stephen P., Yan Liu, Ying Zhang, et al.. (2012). Estrogen-related receptor α regulates osteoblast differentiation via Wnt/β-catenin signaling. Journal of Molecular Endocrinology. 48(2). 177–191. 45 indexed citations
16.
Berasi, Stephen P., Joanne Archambault, Jian Li, et al.. (2011). Divergent activities of osteogenic BMP2, and tenogenic BMP12 and BMP13 independent of receptor binding affinities. Growth Factors. 29(4). 128–139. 39 indexed citations
17.
Paulson, K. Eric, Kimberly Rieger‐Christ, Michael A. McDevitt, et al.. (2007). Alterations of the HBP1 Transcriptional Repressor Are Associated with Invasive Breast Cancer. Cancer Research. 67(13). 6136–6145. 49 indexed citations
18.
Berasi, Stephen P., Christine Huard, Dongmei Li, et al.. (2006). Inhibition of Gluconeogenesis through Transcriptional Activation of EGR1 and DUSP4 by AMP-activated Kinase. Journal of Biological Chemistry. 281(37). 27167–27177. 68 indexed citations
19.
Berasi, Stephen P., Mei Hong Xiu, Amy S. Yee, & K. Eric Paulson. (2004). HBP1 Repression of the p47phox Gene: Cell Cycle Regulation via the NADPH Oxidase. Molecular and Cellular Biology. 24(7). 3011–3024. 63 indexed citations
20.
Yee, Amy S., Eric K. Paulson, Michael A. McDevitt, et al.. (2004). The HBP1 transcriptional repressor and the p38 MAP kinase: unlikely partners in G1 regulation and tumor suppression. Gene. 336(1). 1–13. 80 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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