Sarah Eckenrode
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Genetics top 10%
- Diabetes and associated disorders
Papers in
-
- Gene expression and cancer classification 3
- Advanced Biosensing Techniques and Applications 3
- Ubiquitin and proteasome pathways 3
- RNA modifications and cancer 2
- Co-authors
- Jin‐Xiong She (17 shared papers)Richard McIndoe (11 shared papers)Qingguo Ruan (8 shared papers)James J. Yang (2 shared papers)M.C.K. Yang (2 shared papers)Hongshan Zhao (2 shared papers)Shuisheng Wu (1 shared paper)Donghai Wu (2 shared papers)
- Journals
- Diabetes (3 papers)Physiological Genomics (1 paper)Human Genetics (1 paper)Gene (1 paper)Nature Genetics (1 paper)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Sarah Eckenrode
19 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 84
- Immunology 247
- Genetics 301
- Endocrinology, Diabetes and Metabolism 134
- Hepatology 63
- Molecular Biology 531
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 | 2004 | 356 | |
| 2 | 2000 | 95 | |
| 3 | 2003 | 92 | |
| 4 | 2001 | 91 | |
| 5 | 2002 | 73 | |
| 6 | 2006 | 66 | |
| 7 | 2003 | 57 | |
| 8 | 2006 | 55 | |
| 9 | 2007 | 42 | |
| 10 | 2003 | 37 | |
| 11 | 2004 | 29 | |
| 12 | 2001 | 26 | |
| 13 | 2000 | 26 | |
| 14 | 2000 | 10 | |
| 15 | 2009 | 10 | |
| 16 | 2005 | 8 | |
| 17 | 2004 | 7 | |
| 18 | 2001 | 4 | |
| 19 | 2001 | 1 |
About Sarah Eckenrode
Sarah Eckenrode is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Immunology and Surgery, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes and associated disorders (5 papers), Pancreatic function and diabetes (5 papers), Gene expression and cancer classification (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Ubiquitin and proteasome pathways (3 papers), NF-κB Signaling Pathways (2 papers), RNA modifications and cancer (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Immunology (247 citations), Genetics (301 citations), Endocrinology, Diabetes and Metabolism (134 citations), Hepatology (63 citations) and Molecular Biology (531 citations). Sarah Eckenrode has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Jin‐Xiong She, Richard McIndoe, Qingguo Ruan, James J. Yang, M.C.K. Yang, Hongshan Zhao, Shuisheng Wu, Donghai Wu, Thomas L. Kukar and Wei Lian. Their work appears in journals such as Diabetes, Physiological Genomics, Human Genetics, Gene and Nature 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.