Steven R. Eichten
- Plant Science top 0.5%
- Molecular Biology top 5%
- Genetics top 2%
- Cancer Research top 10%
- Endocrinology top 2%
- Co-authors
- Nathan M. SpringerBarry J. PogsonDiep R GangulyPeter A. CrispJustin BorevitzMatthew VaughnRuth A. Swanson-WagnerPeter J. Hermanson
- Topics
- Chromosomal and Genetic Variations (19 papers)Plant Molecular Biology Research (16 papers)Genetic Mapping and Diversity in Plants and Animals (9 papers)
- Cited by
- Plant ScienceEndocrinologyGenetics
- Partner nations
- United StatesAustraliaSwitzerland
In The Last Decade
Steven R. Eichten
34 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Plant Science 2.8k
- Molecular Biology 1.6k
- Genetics 746
- Cancer Research 231
- Endocrinology 212
Countries citing papers authored by Steven R. Eichten
This map shows the geographic impact of Steven R. Eichten'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 Steven R. Eichten with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven R. Eichten more than expected).
Fields of papers citing papers by Steven R. Eichten
This network shows the impact of papers produced by Steven R. Eichten. 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 Steven R. Eichten. The network helps show where Steven R. Eichten may publish in the future.
Co-authorship network of co-authors of Steven R. Eichten
This figure shows the co-authorship network connecting the top 25 collaborators of Steven R. Eichten. A scholar is included among the top collaborators of Steven R. Eichten 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 Steven R. Eichten. Steven R. Eichten is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 31 | |
| 4 | 25 | |
| 5 | 79 | |
| 6 | 82 | |
| 7 | 114 | |
| 8 | 150 | |
| 9 | 28 | |
| 10 | 42 | |
| 11 | 47 | |
| 12 | 69 | |
| 13 | Genome-wide discovery and characterization of maize long non-coding RNAsbreakdown → | 388 |
| 14 | 139 | |
| 15 | 111 | |
| 16 | 48 | |
| 17 | 103 | |
| 18 | 186 | |
| 19 | 115 | |
| 20 | 217 |
About Steven R. Eichten
Steven R. Eichten is a scholar working on Plant Science, Genetics and Endocrinology, having authored 34 papers that have together received 3.3k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (19 papers), Plant Molecular Biology Research (16 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). The work is most often cited by research in Plant Science (2.8k citations), Endocrinology (212 citations) and Genetics (746 citations). Steven R. Eichten has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Nathan M. Springer, Barry J. Pogson, Diep R Ganguly, Peter A. Crisp, Justin Borevitz, Matthew Vaughn, Ruth A. Swanson-Wagner, Peter J. Hermanson, Cheng‐Ting Yeh and Patrick S. Schnable. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.
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.