Sarah Eckenrode
Impact in
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Hepatology top 10%
- Hepatitis C virus research
Papers in
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- Ubiquitin and proteasome pathways 2
- Gene expression and cancer classification 2
- Advanced Biosensing Techniques and Applications 2
- Surgery 5
- Pancreatic function and diabetes 5
- Co-authors
- Jin‐Xiong She (16 shared papers)Richard McIndoe (10 shared papers)Qingguo Ruan (7 shared papers)James J. Yang (2 shared papers)M.C.K. Yang (2 shared papers)Shuisheng Wu (1 shared paper)Hongshan Zhao (2 shared papers)Thomas Kukar (2 shared papers)
- Journals
- Diabetes (3 papers)Gene (1 paper)Pediatric Research (1 paper)Hepatology (1 paper)Human Genetics (1 paper)
- Partner nations
- United StatesFinlandItaly
In The Last Decade
Sarah Eckenrode
17 papers receiving 653 citations
Peers
Comparison fields: 5 of 78
- Immunology 164
- Hepatology 58
- Genetics 176
- Endocrinology, Diabetes and Metabolism 83
- Molecular Biology 285
Countries citing papers authored by Sarah Eckenrode
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
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-authors
The 25 scholars most cited alongside Sarah Eckenrode, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 90 | |
| 2 | 2000 | 87 | |
| 3 | 2003 | 86 | |
| 4 | 2002 | 64 | |
| 5 | 2006 | 63 | |
| 6 | 2003 | 56 | |
| 7 | 2006 | 47 | |
| 8 | 2007 | 40 | |
| 9 | 2003 | 34 | |
| 10 | 2004 | 28 | |
| 11 | 2001 | 25 | |
| 12 | 2000 | 24 | |
| 13 | 2009 | 10 | |
| 14 | 2000 | 9 | |
| 15 | 2005 | 8 | |
| 16 | 2004 | 7 | |
| 17 | 2001 | 3 |
About Sarah Eckenrode
Sarah Eckenrode is a scholar working on Molecular Biology, Surgery, Genetics, Endocrinology, Diabetes and Metabolism and Physiology, having authored 17 papers that have together received 681 indexed citations. Recurring topics across this work include Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (5 papers), Diabetes Management and Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Gene expression and cancer classification (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Immune Cell Function and Interaction (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Immunology (164 citations), Hepatology (58 citations), Genetics (176 citations), Endocrinology, Diabetes and Metabolism (83 citations) and Molecular Biology (285 citations). Sarah Eckenrode has collaborated with scholars based in United States, Finland and Italy. Frequent 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. Their work appears in journals such as Diabetes, Gene, Pediatric Research, Hepatology and Human Genetics.
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.