Stephen Eacker
- Molecular Biology top 10%
- Reproductive Medicine top 1%
- Cancer Research top 5%
- Genetics top 10%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Ted M. DawsonValina L. DawsonRobert E. BraunElizabeth A. StollMichelle L. GottschRobert A. SteinerJ. T. SmithDonald K. Clifton
- Topics
- MicroRNA in disease regulation (5 papers)Neuroscience and Neuropharmacology Research (3 papers)Genomic variations and chromosomal abnormalities (3 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Stephen Eacker
21 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Molecular Biology 947
- Reproductive Medicine 639
- Cancer Research 389
- Genetics 270
- Cellular and Molecular Neuroscience 235
Countries citing papers authored by Stephen Eacker
This map shows the geographic impact of Stephen Eacker'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 Stephen Eacker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Eacker more than expected).
Fields of papers citing papers by Stephen Eacker
This network shows the impact of papers produced by Stephen Eacker. 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 Stephen Eacker. The network helps show where Stephen Eacker may publish in the future.
Co-authorship network of co-authors of Stephen Eacker
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Eacker. A scholar is included among the top collaborators of Stephen Eacker 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 Stephen Eacker. Stephen Eacker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 44 | |
| 8 | 56 | |
| 9 | 62 | |
| 10 | 39 | |
| 11 | 19 | |
| 12 | 58 | |
| 13 | 57 | |
| 14 | 50 | |
| 15 | 233 | |
| 16 | 39 | |
| 17 | 38 | |
| 18 | 240 | |
| 19 | 64 | |
| 20 | Differential Regulation of KiSS-1 mRNA Expression by Sex Steroids in the Brain of the Male Mousebreakdown → | 561 |
About Stephen Eacker
Stephen Eacker is a scholar working on Reproductive Medicine, Cancer Research and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Reproductive Medicine (639 citations), Cancer Research (389 citations) and Endocrine and Autonomic Systems (139 citations). Stephen Eacker has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Ted M. Dawson, Valina L. Dawson, Robert E. Braun, Elizabeth A. Stoll, Michelle L. Gottsch, Robert A. Steiner, J. T. Smith, Donald K. Clifton, Xueqing Wang and Maged M. Harraz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Neuron.
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.