Daniel J. G. Lahr
- Molecular Biology top 5%
- Ecology top 2%
- Paleontology top 1%
- Atmospheric Science top 5%
- Plant Science top 10%
- Co-authors
- Laura A. KatzLaura Wegener ParfreyAndrew H. KnollEnrique LaraTanja BosakEdward A. D. MitchellFrancis A. MacdonaldAnush Kosakyan
- Topics
- Protist diversity and phylogeny (48 papers)Microbial Community Ecology and Physiology (28 papers)Paleontology and Stratigraphy of Fossils (25 papers)
- Journals
- Proceedings of the National Academy of SciencesPLoS ONEThe Science of The Total Environment
- Partner nations
- BrazilUnited StatesSwitzerland
In The Last Decade
Daniel J. G. Lahr
67 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.5k
- Ecology 988
- Paleontology 676
- Atmospheric Science 593
- Plant Science 264
Countries citing papers authored by Daniel J. G. Lahr
This map shows the geographic impact of Daniel J. G. Lahr'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 Daniel J. G. Lahr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. G. Lahr more than expected).
Fields of papers citing papers by Daniel J. G. Lahr
This network shows the impact of papers produced by Daniel J. G. Lahr. 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 Daniel J. G. Lahr. The network helps show where Daniel J. G. Lahr may publish in the future.
Co-authorship network of co-authors of Daniel J. G. Lahr
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. G. Lahr. A scholar is included among the top collaborators of Daniel J. G. Lahr 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 Daniel J. G. Lahr. Daniel J. G. Lahr 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 | 0 | |
| 3 | 10 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 13 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 37 | |
| 11 | 11 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 54 | |
| 15 | 35 | |
| 16 | 43 | |
| 17 | 6 | |
| 18 | Evaluating the taxonomic identity in four species of the lobose testate amoebae genus Arcella Ehrenberg, 1832 | 24 |
| 19 | 112 | |
| 20 | Ultra-structure and Biometry of Three Lobose Testate Amoebae of the Family Lesquereusiidae (Tubulinea: Arcellinida) Based on Specimens from Sao Paulo, Brazil | 6 |
About Daniel J. G. Lahr
Daniel J. G. Lahr is a scholar working on Paleontology, Ecology and Endocrinology, having authored 68 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protist diversity and phylogeny (48 papers), Microbial Community Ecology and Physiology (28 papers) and Paleontology and Stratigraphy of Fossils (25 papers). The work is most often cited by research in Paleontology (676 citations), Ecology (988 citations) and Atmospheric Science (593 citations). Daniel J. G. Lahr has collaborated with scholars based in Brazil, United States and Switzerland. Frequent co-authors include Laura A. Katz, Laura Wegener Parfrey, Andrew H. Knoll, Enrique Lara, Tanja Bosak, Edward A. D. Mitchell, Francis A. Macdonald, Anush Kosakyan, Jessica R. Grant and E. D. Matys. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Science of The Total Environment.
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.