Sarah Eckenrode
Impact in
-
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Hepatology top 10%
- Hepatitis C virus research
Papers in
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- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
- Advanced Biosensing Techniques and Applications 2
- Genetics 6
- Diabetes and associated disorders 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)Wei Lian (2 shared papers)
- Journals
- Diabetes (3 papers)Gene (1 paper)BMC Bioinformatics (1 paper)Human Genetics (1 paper)BMC Nephrology (1 paper)
- Partner nations
- United StatesSwedenItaly
In The Last Decade
Sarah Eckenrode
17 papers receiving 652 citations
Peers
Comparison fields: 5 of 79
- Immunology 182
- Hepatology 61
- Genetics 188
- Endocrinology, Diabetes and Metabolism 95
- Molecular Biology 315
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 | 91 | |
| 2 | 2000 | 88 | |
| 3 | 2003 | 86 | |
| 4 | 2002 | 64 | |
| 5 | 2006 | 63 | |
| 6 | 2003 | 56 | |
| 7 | 2006 | 47 | |
| 8 | 2007 | 39 | |
| 9 | 2003 | 34 | |
| 10 | 2004 | 28 | |
| 11 | 2001 | 24 | |
| 12 | 2000 | 24 | |
| 13 | 2009 | 10 | |
| 14 | 2000 | 9 | |
| 15 | 2004 | 7 | |
| 16 | 2005 | 7 | |
| 17 | 2001 | 3 |
About Sarah Eckenrode
Sarah Eckenrode is a scholar working on Molecular Biology, Genetics, Surgery, Endocrinology, Diabetes and Metabolism and Physiology, having authored 17 papers that have together received 680 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (5 papers), Diabetes Management and Research (2 papers), Adipose Tissue and Metabolism (2 papers), Immune Cell Function and Interaction (2 papers), Bioinformatics and Genomic Networks (2 papers), Gene expression and cancer classification (2 papers) and Advanced Biosensing Techniques and Applications (2 papers). The work is most often cited by research in Immunology (182 citations), Hepatology (61 citations), Genetics (188 citations), Endocrinology, Diabetes and Metabolism (95 citations) and Molecular Biology (315 citations). Sarah Eckenrode has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Jin‐Xiong She, Richard McIndoe, Qingguo Ruan, James J. Yang, M.C.K. Yang, Shuisheng Wu, Hongshan Zhao, Wei Lian, Donghai Wu and Ping Yang. Their work appears in journals such as Diabetes, Gene, BMC Bioinformatics, Human Genetics and BMC Nephrology.
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.