Sarah Eckenrode

1.3k total citations
17 papers, 680 citations indexed

About

Sarah Eckenrode is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Sarah Eckenrode has authored 17 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Surgery. Recurrent topics in Sarah Eckenrode's work include Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (5 papers) and Bioinformatics and Genomic Networks (2 papers). Sarah Eckenrode is often cited by papers focused on Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (5 papers) and Bioinformatics and Genomic Networks (2 papers). Sarah Eckenrode collaborates with scholars based in United States, Sweden and Italy. Sarah Eckenrode's co-authors include Jin‐Xiong She, Richard McIndoe, Qingguo Ruan, James J. Yang, M.C.K. Yang, Shuisheng Wu, Hongshan Zhao, Thomas Kukar, Wei Lian and Donghai Wu and has published in prestigious journals such as The Journal of Immunology, Hepatology and Diabetes.

In The Last Decade

Sarah Eckenrode

17 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Eckenrode United States 12 315 188 182 102 95 17 680
David S. Neufeld United States 12 220 0.7× 134 0.7× 81 0.4× 126 1.2× 83 0.9× 17 515
Esther Bandala‐Sanchez Australia 16 334 1.1× 94 0.5× 332 1.8× 77 0.8× 57 0.6× 27 762
Shrimati Datta United States 11 349 1.1× 101 0.5× 314 1.7× 154 1.5× 47 0.5× 19 805
Hu Sheng Qian United States 12 357 1.1× 279 1.5× 51 0.3× 85 0.8× 25 0.3× 17 683
Milena Rozenberg Israel 7 418 1.3× 124 0.7× 160 0.9× 144 1.4× 45 0.5× 8 747
Kathleen C. Lee United States 12 504 1.6× 166 0.9× 77 0.4× 117 1.1× 313 3.3× 14 863
Amrom E. Obstfeld United States 10 201 0.6× 87 0.5× 340 1.9× 76 0.7× 47 0.5× 29 815
Marie‐Thérèse Simon France 12 210 0.7× 82 0.4× 105 0.6× 243 2.4× 36 0.4× 12 665
Benjamin Stoelcker Germany 18 403 1.3× 38 0.2× 294 1.6× 83 0.8× 37 0.4× 25 904
Anthony Doré United States 9 313 1.0× 78 0.4× 143 0.8× 71 0.7× 70 0.7× 9 752

Countries citing papers authored by Sarah Eckenrode

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Eckenrode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Eckenrode

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Eckenrode. A scholar is included among the top collaborators of Sarah Eckenrode 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 Sarah Eckenrode. Sarah Eckenrode 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.
Lai, Yinglei, Sarah Eckenrode, & Jin‐Xiong She. (2009). A statistical framework for integrating two microarray data sets in differential expression analysis. BMC Bioinformatics. 10(S1). S23–S23. 10 indexed citations
2.
Ruan, Qingguo, Kenneth S. K. Tung, Yulius Y. Setiady, et al.. (2007). The Autoimmune Regulator Directly Controls the Expression of Genes Critical for Thymic Epithelial Function. The Journal of Immunology. 178(11). 7173–7180. 39 indexed citations
3.
Eckenrode, Sarah, et al.. (2006). Early pathogenic events associated with Sjögren's syndrome (SjS)-like disease of the nod mouse using microarray analysis. Laboratory Investigation. 86(12). 1243–1260. 63 indexed citations
4.
Purohit, Sharad, Robert H. Podolsky, Hong Zhao, et al.. (2006). The application of genomic and proteomic technologies in predictive, preventive and personalized medicine. Vascular Pharmacology. 45(5). 258–267. 47 indexed citations
5.
McIndoe, Richard, Sarah Eckenrode, Laurence Morel, et al.. (2005). Alterations of renal phenotype and gene expression profiles due to protein overload in NOD-related mouse strains. BMC Nephrology. 6(1). 7 indexed citations
6.
Eckenrode, Sarah, Qingguo Ruan, Christin Collins, et al.. (2004). Molecular Pathways Altered by Insulin B9‐23 Immunization. Annals of the New York Academy of Sciences. 1037(1). 175–185. 7 indexed citations
7.
Eckenrode, Sarah, Qingguo Ruan, Ping Yang, et al.. (2004). Gene Expression Profiles Define a Key Checkpoint for Type 1 Diabetes in NOD Mice. Diabetes. 53(2). 366–375. 28 indexed citations
8.
Zhu, Haizhen, Hongshan Zhao, Christin Collins, et al.. (2003). Gene Expression Associated With Interferon Alfa Antiviral Activity in An Hcv Replicon Cell Line. Hepatology. 37(5). 1180–1188. 86 indexed citations
9.
Yang, Lijun, Hongshan Zhao, Kim Ahrens, et al.. (2003). Gene Expression Profiling during All-trans Retinoic Acid-Induced Cell Differentiation of Acute Promyelocytic Leukemia Cells. Journal of Molecular Diagnostics. 5(4). 212–221. 34 indexed citations
10.
Wilson, Karen, Sarah Eckenrode, Qingguo Ruan, et al.. (2003). Microarray Analysis of Gene Expression in the Kidneys of New- and Post-Onset Diabetic NOD Mice. Diabetes. 52(8). 2151–2159. 56 indexed citations
11.
Kukar, Thomas, et al.. (2002). Protein Microarrays to Detect Protein–Protein Interactions Using Red and Green Fluorescent Proteins. Analytical Biochemistry. 306(1). 50–54. 64 indexed citations
12.
Eckenrode, Sarah, et al.. (2001). Rapid decrease of RNA level of a novel mouse mitochondria solute carrier protein (Mscp) gene at 4–5 weeks of age. Mammalian Genome. 12(11). 830–836. 3 indexed citations
13.
Wang, Cong‐Yi, Sarah Eckenrode, Abdoreza Davoodi‐Semiromi, et al.. (2001). Molecular cloning and characterization of the mouse and human TUSP gene, a novel member of the tubby superfamily. Gene. 273(2). 275–284. 24 indexed citations
14.
Yang, M.C.K., Qingguo Ruan, James J. Yang, et al.. (2001). A statistical method for flagging weak spots improves normalization and ratio estimates in microarrays. Physiological Genomics. 7(1). 45–53. 91 indexed citations
15.
Reimsnider, Sharon, Sarah Eckenrode, Michele P. Marron, Andrew Muir, & Jin‐Xiong She. (2000). IL4 and IL4R α Genes Are Not Linked or Associated with Type 1 Diabetes. Pediatric Research. 47(2). 246–246. 9 indexed citations
16.
Eckenrode, Sarah, Michele P. Marron, Robert D. Nicholls, et al.. (2000). Fine-mapping of the type 1 diabetes locus ( IDDM4 ) on chromosome 11q and evaluation of two candidate genes ( FADD and GALN ) by affected sibpair and linkage-disequilibrium analyses. Human Genetics. 106(1). 14–18. 24 indexed citations
17.
Marron, Michele P., Adina Zeidler, Leslie J. Raffel, et al.. (2000). Genetic and physical mapping of a type 1 diabetes susceptibility gene (IDDM12) to a 100-kb phagemid artificial chromosome clone containing D2S72-CTLA4-D2S105 on chromosome 2q33.. Diabetes. 49(3). 492–499. 88 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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