Sean P. Ferris

1.6k total citations · 1 hit paper
23 papers, 894 citations indexed

About

Sean P. Ferris is a scholar working on Genetics, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sean P. Ferris has authored 23 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 9 papers in Molecular Biology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sean P. Ferris's work include Glioma Diagnosis and Treatment (10 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). Sean P. Ferris is often cited by papers focused on Glioma Diagnosis and Treatment (10 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). Sean P. Ferris collaborates with scholars based in United States, Switzerland and Israel. Sean P. Ferris's co-authors include Randal J. Kaufman, Benbo Song, Hongzhi Miao, Jahangir Iqbal, Robert L. Clark, Michael U. Callaghan, Justin Hassler, Junying Wang, D. Thomas Rutkowski and Michael G. Katze and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Sean P. Ferris

20 papers receiving 885 citations

Hit Papers

UPR Pathways Combine to Prevent Hepatic Steatosis Caused ... 2008 2026 2014 2020 2008 100 200 300 400

Peers

Sean P. Ferris
Hetty N. Wong United States
Jing Ma China
George Talbott United States
Kahini A. Vaid United States
Felicity Newell Australia
Sean P. Ferris
Citations per year, relative to Sean P. Ferris Sean P. Ferris (= 1×) peers Joan Papillon

Countries citing papers authored by Sean P. Ferris

Since Specialization
Citations

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

Fields of papers citing papers by Sean P. Ferris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean P. Ferris

This figure shows the co-authorship network connecting the top 25 collaborators of Sean P. Ferris. A scholar is included among the top collaborators of Sean P. Ferris 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 Sean P. Ferris. Sean P. Ferris 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.
Desai, Alec A., Jennifer M. Zupancic, Hanna Trzeciakiewicz, et al.. (2025). Facile generation of drug-like conformational antibodies specific for amyloid fibrils. Nature Chemical Biology. 21(6). 916–925. 1 indexed citations
2.
Umemura, Yoshie, Nathan Clarke, Wajd N. Al‐Holou, et al.. (2024). AB036. Targeting glioblastoma de-novo purine metabolism to overcome chemoradiation resistance: an interim result of phase 0/1 clinical trial in newly diagnosed and recurrent glioblastoma. Chinese Clinical Oncology. 13(Suppl 1). AB036–AB036. 1 indexed citations
3.
Nieblas‐Bedolla, Edwin, et al.. (2024). Sarcomatous transformation of IDH-mutant astrocytoma matching to methylation class oligosarcoma following embolization, a case report. Acta Neuropathologica Communications. 12(1). 196–196. 1 indexed citations
4.
Zupancic, Jennifer M., Matthew D. Smith, Hanna Trzeciakiewicz, et al.. (2023). Quantitative flow cytometric selection of tau conformational nanobodies specific for pathological aggregates. Frontiers in Immunology. 14. 1164080–1164080. 5 indexed citations
6.
Umemura, Yoshie, Bernard L. Marini, Denise Leung, et al.. (2022). CTNI-35. PHASE 0/1 TRIAL OF MYCOPHENOLATE MOFETIL COMBINED WITH CHEMORADIATION TO OVERCOME TREATMENT RESISTANCE IN NEWLY DIAGNOSED AND RECURRENT GLIOBLASTOMA BY TARGETING PURINE METABOLISM. Neuro-Oncology. 24(Supplement_7). vii79–vii79. 2 indexed citations
7.
Liu, Siyuan, Stephen T. Magill, Harish N. Vasudevan, et al.. (2020). Multiplatform Molecular Profiling Reveals Epigenomic Intratumor Heterogeneity in Ependymoma. Cell Reports. 30(5). 1300–1309.e5. 8 indexed citations
8.
Bakulski, Kelly M., John Dou, Robert C. Thompson, et al.. (2020). Single-Cell Analysis of the Gene Expression Effects of Developmental Lead (Pb) Exposure on the Mouse Hippocampus. Toxicological Sciences. 176(2). 396–409. 27 indexed citations
9.
Chan, Alvin Y., et al.. (2019). Venous vascular malformations and compressive neuropathy. SHILAP Revista de lepidopterología. 16. 113–116. 2 indexed citations
10.
Ferris, Sean P., Marjorie R. Grafe, Randy Woltjer, et al.. (2019). A case of recurrent epilepsy‐associated rosette‐forming glioneuronal tumor with anaplastic transformation in the absence of therapy. Neuropathology. 39(5). 389–393. 9 indexed citations
11.
Lee, Julieann C., Sonika Dahiya, Bette K. Kleinschmidt‐DeMasters, et al.. (2018). Clinicopathologic features of anaplastic myxopapillary ependymomas. Brain Pathology. 29(1). 75–84. 24 indexed citations
12.
Ferris, Sean P., Jeffrey W. Hofmann, David A. Solomon, & Arie Perry. (2017). Characterization of gliomas: from morphology to molecules. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 471(2). 257–269. 88 indexed citations
13.
Habeck, Michael, Elmíra Tokhtaeva, Sean P. Ferris, et al.. (2016). Selective Assembly of Na,K-ATPase α2β2 Heterodimers in the Heart. Journal of Biological Chemistry. 291(44). 23159–23174. 33 indexed citations
14.
Ferris, Sean P., Vamsi K. Kodali, & Randal J. Kaufman. (2014). Glycoprotein folding and quality-control mechanisms in protein-folding diseases. Disease Models & Mechanisms. 7(3). 331–341. 67 indexed citations
15.
Ferris, Sean P., et al.. (2013). UDP-glucose:glycoprotein glucosyltransferase (UGGT1) promotes substrate solubility in the endoplasmic reticulum. Molecular Biology of the Cell. 24(17). 2597–2608. 41 indexed citations
16.
Rutkowski, D. Thomas, Jun Wu, Michael U. Callaghan, et al.. (2008). UPR Pathways Combine to Prevent Hepatic Steatosis Caused by ER Stress-Mediated Suppression of Transcriptional Master Regulators. Developmental Cell. 15(6). 829–840. 480 indexed citations breakdown →
17.
Qin, Xuebin, Weiguo Hu, Wenping Song, et al.. (2008). Generation and phenotyping of mCd59a and mCd59b double‐knockout mice. American Journal of Hematology. 84(2). 65–70. 25 indexed citations
18.
Hu, Weiguo, Sean P. Ferris, Rodney K. Tweten, et al.. (2007). Rapid conditional targeted ablation of cells expressing human CD59 in transgenic mice by intermedilysin. Nature Medicine. 14(1). 98–103. 33 indexed citations
19.
Qin, Xuebin, et al.. (2006). Analysis of the promoters and 5′-UTR of mouse Cd59 genes, and of their functional activity in erythrocytes. Genes and Immunity. 7(4). 287–297. 13 indexed citations
20.
Qin, Xuebin, Sean P. Ferris, Patricia V. Miranda, et al.. (2005). Further Characterization of Reproductive Abnormalities in mCd59b Knockout Mice: A Potential New Function of mCd59 in Male Reproduction. The Journal of Immunology. 175(10). 6294–6302. 24 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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