Erika Owsley

1.3k total citations
17 papers, 1.0k citations indexed

About

Erika Owsley is a scholar working on Immunology, Hematology and Oncology. According to data from OpenAlex, Erika Owsley has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 9 papers in Hematology and 7 papers in Oncology. Recurrent topics in Erika Owsley's work include Immune Cell Function and Interaction (8 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Cholesterol and Lipid Metabolism (6 papers). Erika Owsley is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Cholesterol and Lipid Metabolism (6 papers). Erika Owsley collaborates with scholars based in United States, Switzerland and Germany. Erika Owsley's co-authors include John Y.L. Chiang, Tiangang Li, Kwang‐Hoon Song, Stephen C. Strom, Peter Hsu, Colleen M. Novak, Wenling Chen, Yizeng Yang, Diane Stroup and Rebecca Marsh and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Hepatology.

In The Last Decade

Erika Owsley

17 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erika Owsley United States 11 441 395 371 321 143 17 1.0k
Monia Baldoni Italy 18 203 0.5× 241 0.6× 214 0.6× 295 0.9× 184 1.3× 30 1.0k
Barbara Vizio Italy 19 238 0.5× 369 0.9× 282 0.8× 327 1.0× 209 1.5× 34 1.1k
Jane G. Binz United States 8 483 1.1× 437 1.1× 504 1.4× 164 0.5× 87 0.6× 9 958
Johannes Schmitt Germany 19 217 0.5× 589 1.5× 117 0.3× 388 1.2× 43 0.3× 25 1.3k
Kyoko Yoneda Japan 15 285 0.6× 437 1.1× 302 0.8× 194 0.6× 41 0.3× 33 978
Annette Grambihler Germany 12 238 0.5× 556 1.4× 170 0.5× 540 1.7× 170 1.2× 19 1.3k
Maria Lucia Caruso Italy 21 380 0.9× 203 0.5× 313 0.8× 266 0.8× 120 0.8× 54 1.1k
Karen M. Kassel United States 15 92 0.2× 268 0.7× 113 0.3× 369 1.1× 81 0.6× 20 800
Jin Chai China 18 300 0.7× 281 0.7× 198 0.5× 362 1.1× 125 0.9× 62 976
Cindy Kunne Netherlands 25 889 2.0× 513 1.3× 719 1.9× 339 1.1× 44 0.3× 35 1.7k

Countries citing papers authored by Erika Owsley

Since Specialization
Citations

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

Fields of papers citing papers by Erika Owsley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erika Owsley. 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 Erika Owsley. The network helps show where Erika Owsley may publish in the future.

Co-authorship network of co-authors of Erika Owsley

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

All Works

17 of 17 papers shown
1.
Chiang, Samuel C. C., Erika Owsley, Vijaya Chaturvedi, et al.. (2022). Quercetin ameliorates XIAP deficiency–associated hyperinflammation. Blood. 140(7). 706–715. 26 indexed citations
2.
Davies, Stella M., Adam Lane, Michael B. Jordan, et al.. (2021). α4β7 Integrin expression and blockade in pediatric and young adult gastrointestinal graft‐versus‐host disease. Pediatric Blood & Cancer. 68(8). e28968–e28968. 10 indexed citations
3.
Chaturvedi, Vandana, Rebecca Marsh, Adi Zoref‐Lorenz, et al.. (2020). T-cell activation profiles distinguish hemophagocytic lymphohistiocytosis and early sepsis. Blood. 137(17). 2337–2346. 86 indexed citations
4.
Spilgies, Lisanne M., Monica Yabal, Erika Owsley, et al.. (2019). TNFR2 induced priming of the inflammasome leads to a RIPK1-dependent cell death in the absence of XIAP. Cell Death and Disease. 10(10). 56–56. 28 indexed citations
5.
Khandelwal, Pooja, Vijaya Chaturvedi, Erika Owsley, et al.. (2019). CD38brightCD8+ T Cells Associated with the Development of Acute GVHD Are Activated, Proliferating, and Cytotoxic Trafficking Cells. Biology of Blood and Marrow Transplantation. 26(1). 1–6. 12 indexed citations
6.
Khandelwal, Pooja, Stella M. Davies, Michael B. Jordan, et al.. (2019). α4β7 Integrin Is Upregulated on CD8+ Effector Memory T-Cells in Children with Gut Gvhd Prior to Clinical Symptoms and Represents a Therapeutic Target in Pediatric Allogeneic HSCT Patients. Biology of Blood and Marrow Transplantation. 25(3). S265–S266. 2 indexed citations
7.
Khandelwal, Pooja, Vijaya Chaturvedi, Erika Owsley, Stella M. Davies, & Rebecca Marsh. (2017). CD38 Bright CD8+ TEM Cells Detected Prior to Acute Gvhd are Activated, Cytotoxic, Proliferating, Trafficking Cells Which are Not Viral Specific. Biology of Blood and Marrow Transplantation. 23(3). S137–S137. 1 indexed citations
8.
Khandelwal, Pooja, Adam Lane, Vijaya Chaturvedi, et al.. (2015). Peripheral Blood CD38 Bright CD8+ Effector Memory T Cells Predict Acute Graft-versus-Host Disease. Biology of Blood and Marrow Transplantation. 21(7). 1215–1222. 26 indexed citations
9.
Khandelwal, Pooja, Adam Lane, Erika Owsley, et al.. (2015). Peripheral Blood Expansion of CD38 Bright CD8+ Effector Memory T-Cells Predicts Acute Graft Versus Host Disease with a Diagnostic Accuracy of 87%. Biology of Blood and Marrow Transplantation. 21(2). S99–S101. 1 indexed citations
10.
Khandelwal, Pooja, Vijaya Chaturvedi, Michael B. Jordan, et al.. (2013). CD38 Bright Effector Memory CD8+ T Cell Populations Predict Acute Graft Versus Host Disease. Biology of Blood and Marrow Transplantation. 19(2). S330–S330. 2 indexed citations
11.
12.
Song, Kwang‐Hoon, Tiangang Li, Erika Owsley, & John Y.L. Chiang. (2010). A putative role of micro RNA in regulation of cholesterol 7α-hydroxylase expression in human hepatocytes. Journal of Lipid Research. 51(8). 2223–2233. 66 indexed citations
13.
Li, Tiangang, et al.. (2010). Transgenic expression of CYP7A1 in the liver prevents high fat diet‐induced obesity and insulin resistance in mice. The FASEB Journal. 24(S1). 2 indexed citations
14.
Song, Kwang‐Hoon, Tiangang Li, Erika Owsley, Stephen C. Strom, & John Y.L. Chiang. (2008). Bile acids activate fibroblast growth factor 19 signaling in human hepatocytes to inhibit cholesterol 7α‐hydroxylase gene expression†. Hepatology. 49(1). 297–305. 331 indexed citations
15.
Li, Tiangang, Xiaoying Kong, Erika Owsley, et al.. (2006). Insulin Regulation of Cholesterol 7α-Hydroxylase Expression in Human Hepatocytes. Journal of Biological Chemistry. 281(39). 28745–28754. 74 indexed citations
16.
Owsley, Erika & John Y.L. Chiang. (2003). Guggulsterone antagonizes farnesoid X receptor induction of bile salt export pump but activates pregnane X receptor to inhibit cholesterol 7α-hydroxylase gene. Biochemical and Biophysical Research Communications. 304(1). 191–195. 81 indexed citations
17.
Chen, Wenling, Erika Owsley, Yizeng Yang, Diane Stroup, & John Y.L. Chiang. (2001). Nuclear receptor-mediated repression of human cholesterol 7α-hydroxylase gene transcription by bile acids. Journal of Lipid Research. 42(9). 1402–1412. 95 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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