Jonathan M. Bloom
Impact in
- Genetics top 10%
- Virus-based gene therapy research
- Genomics and Rare Diseases
- Archeology top 5%
Papers in
-
- Architecture and Cultural Influences 3
- Archaeology and Historical Studies 3
- Historical and Architectural Studies 3
- Ancient Egypt and Archaeology 2
-
- Homotopy and Cohomology in Algebraic Topology 3
- Co-authors
- Laura D. Gauthier (1 shared paper)Yossi Farjoun (1 shared paper)Benjamin M. Neale (1 shared paper)Heng Li (1 shared paper)Mark Fleharty (1 shared paper)Daniel G. MacArthur (1 shared paper)Qin Huang (1 shared paper)Isabelle G. Tobey (1 shared paper)
- Journals
- Nature Methods (1 paper)American Journal of Orthodontics and Dentofacial Orthopedics (1 paper)Mathematical Research Letters (1 paper)PLoS ONE (1 paper)Advances in Mathematics (1 paper)
- Partner nations
- United States
In The Last Decade
Jonathan M. Bloom
14 papers receiving 424 citations
Peers
Comparison fields: 5 of 94
- Genetics 162
- Archeology 58
- Space and Planetary Science 7
- Discrete Mathematics and Combinatorics 15
- Geometry and Topology 40
Countries citing papers authored by Jonathan M. Bloom
This map shows the geographic impact of Jonathan M. Bloom'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 Jonathan M. Bloom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Bloom more than expected).
Fields of papers citing papers by Jonathan M. Bloom
This network shows the impact of papers produced by Jonathan M. Bloom. 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 Jonathan M. Bloom. The network helps show where Jonathan M. Bloom may publish in the future.
Co-authors
The 22 scholars most cited alongside Jonathan M. Bloom, 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 | 2019 | 161 | |
| 2 | 2018 | 112 | |
| 3 | 2001 | 41 | |
| 4 | 2017 | 34 | |
| 5 | 1986 | 28 | |
| 6 | 2009 | 25 | |
| 7 | 2010 | 22 | |
| 8 | 2010 | 17 | |
| 9 | 1989 | 9 | |
| 10 | THE LOCAL STRUCTURE OF SMOOTH MAPS OF MANIFOLDS | 2004 | 6 |
| 11 | Two Routes to Scalable Credit Assignment without Weight Symmetry | 2020 | 2 |
| 12 | 2002 | 1 | |
| 13 | 2009 | 1 | |
| 14 | 2011 | 1 |
About Jonathan M. Bloom
Jonathan M. Bloom is a scholar working on Archeology, Mathematical Physics, Geometry and Topology, Molecular Biology and Neurology, having authored 14 papers that have together received 460 indexed citations. Recurring topics across this work include Architecture and Cultural Influences (3 papers), Archaeology and Historical Studies (3 papers), Geometric and Algebraic Topology (3 papers), Historical and Architectural Studies (3 papers), Homotopy and Cohomology in Algebraic Topology (3 papers), Ancient Egypt and Archaeology (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Mathematics and Applications (1 paper). The work is most often cited by research in Genetics (162 citations), Archeology (58 citations), Space and Planetary Science (7 citations), Discrete Mathematics and Combinatorics (15 citations) and Geometry and Topology (40 citations). Jonathan M. Bloom has collaborated with scholars based in United States. Frequent co-authors include Laura D. Gauthier, Yossi Farjoun, Benjamin M. Neale, Heng Li, Mark Fleharty, Daniel G. MacArthur, Qin Huang, Isabelle G. Tobey, Yujia A. Chan and Ken Y. Chan. Their work appears in journals such as Nature Methods, American Journal of Orthodontics and Dentofacial Orthopedics, Mathematical Research Letters, PLoS ONE and Advances in Mathematics.
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.