Elena R. Schroeter
- Paleontology top 2%
- Paleontology and Evolutionary Biology 9
- Evolution and Paleontology Studies 8
- Archeology top 1%
- Anthropology top 5%
- Pleistocene-Era Hominins and Archaeology 3
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- Ichthyology and Marine Biology 3
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- Advanced Proteomics Techniques and Applications 3
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- Bone and Dental Protein Studies 3
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- Identification and Quantification in Food 3
- Metabolomics and Mass Spectrometry Studies 2
- Co-authors
- Timothy P. ClelandMary H. SchweitzerWenxia ZhengPaul M. ThomasNeil L. KelleherCaroline J. DeHartAlison E. MoyerKenneth J. Lacovara
- Cited by
- PaleontologyArcheologyAnthropology
- Journals
- Journal of Proteome Research (4 papers)Scientific Reports (2 papers)Proceedings of the Royal Society B Biological Sciences (2 papers)
- Partner nations
- United StatesSwedenGermany
In The Last Decade
Elena R. Schroeter
24 papers receiving 743 citations
Peers
Comparison fields: 5 of 92
- Paleontology 438
- Archeology 178
- Anthropology 132
- Nature and Landscape Conservation 148
- Genetics 150
Countries citing papers authored by Elena R. Schroeter
This map shows the geographic impact of Elena R. Schroeter'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 Elena R. Schroeter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena R. Schroeter more than expected).
Fields of papers citing papers by Elena R. Schroeter
This network shows the impact of papers produced by Elena R. Schroeter. 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 Elena R. Schroeter. The network helps show where Elena R. Schroeter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Elena R. Schroeter, 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 | 2024 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2022 | 5 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 17 | |
| 8 | 2020 | 14 | |
| 9 | Dinosaurs: How We Know What We Know | 2020 | 1 |
| 10 | 2019 | 51 | |
| 11 | 2019 | 12 | |
| 12 | 2017 | 69 | |
| 13 | 2016 | 62 | |
| 14 | 2015 | 81 | |
| 15 | 2015 | 55 | |
| 16 | 2015 | 52 | |
| 17 | 2014 | 6 | |
| 18 | 2014 | 130 | |
| 19 | 2014 | 19 | |
| 20 | 1992 | 4 |
About Elena R. Schroeter
Elena R. Schroeter is a scholar working on Paleontology, Anthropology and Hepatology, having authored 25 papers that have together received 766 indexed citations. Recurring topics across this work include Paleontology and Evolutionary Biology (9 papers), Evolution and Paleontology Studies (8 papers), Ichthyology and Marine Biology (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Bone and Dental Protein Studies (3 papers), Identification and Quantification in Food (3 papers), Pleistocene-Era Hominins and Archaeology (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Paleontology (438 citations), Archeology (178 citations) and Anthropology (132 citations). Elena R. Schroeter has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Timothy P. Cleland, Mary H. Schweitzer, Wenxia Zheng, Paul M. Thomas, Neil L. Kelleher, Caroline J. DeHart, Alison E. Moyer, Kenneth J. Lacovara, Deepak Vashishth and Robert S. Feranec. Their work appears in journals such as Journal of Proteome Research, Scientific Reports, Proceedings of the Royal Society B Biological Sciences, Biology and Proceedings of the National Academy of Sciences.
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.