Nathan M. Young
- Geometry and Topology top 0.5%
- Molecular Biology top 10%
- Genetics top 2%
- Paleontology top 1%
- Social Psychology top 2%
- Co-authors
- Benedikt HallgrímssonRalph MarcucioMichael E. SteiperHeather A. JamniczkyGünter P. WagnerTrish E. ParsonsCampbell RolianJulia C. Boughner
- Topics
- Morphological variations and asymmetry (23 papers)Evolution and Paleontology Studies (13 papers)dental development and anomalies (12 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Nathan M. Young
60 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 147
- Geometry and Topology 1.2k
- Molecular Biology 1000
- Genetics 993
- Paleontology 946
- Social Psychology 461
Countries citing papers authored by Nathan M. Young
This map shows the geographic impact of Nathan M. Young'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 Nathan M. Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan M. Young more than expected).
Fields of papers citing papers by Nathan M. Young
This network shows the impact of papers produced by Nathan M. Young. 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 Nathan M. Young. The network helps show where Nathan M. Young may publish in the future.
Co-authorship network of co-authors of Nathan M. Young
This figure shows the co-authorship network connecting the top 25 collaborators of Nathan M. Young. A scholar is included among the top collaborators of Nathan M. Young 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 Nathan M. Young. Nathan M. Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 23 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | In silico modeling of glenohumeral joint variation in biomechanical function and stability | 1 |
| 7 | 56 | |
| 8 | 35 | |
| 9 | 18 | |
| 10 | 62 | |
| 11 | 27 | |
| 12 | 127 | |
| 13 | 107 | |
| 14 | 325 | |
| 15 | 54 | |
| 16 | 52 | |
| 17 | 34 | |
| 18 | 80 | |
| 19 | 86 | |
| 20 | 28 |
About Nathan M. Young
Nathan M. Young is a scholar working on Geometry and Topology, Paleontology and Developmental Biology, having authored 63 papers that have together received 3.2k indexed citations. Recurring topics across this work include Morphological variations and asymmetry (23 papers), Evolution and Paleontology Studies (13 papers) and dental development and anomalies (12 papers). The work is most often cited by research in Geometry and Topology (1.2k citations), Paleontology (946 citations) and Anthropology (356 citations). Nathan M. Young has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Benedikt Hallgrímsson, Ralph Marcucio, Michael E. Steiper, Heather A. Jamniczky, Günter P. Wagner, Trish E. Parsons, Campbell Rolian, Julia C. Boughner, Diane Hu and Katherine E. Willmore. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.