Joan M. Boggs
- Molecular Biology top 1%
- Cell Biology top 1%
- Developmental Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Organic Chemistry top 5%
- Co-authors
- Godha RangarajM.A. MoscarelloGeorge HarauzKalavelil M. KoshyMario A. MoscarelloRoland MartinꝉHenry F. McFarlandWen Gao
- Topics
- Lipid Membrane Structure and Behavior (73 papers)Glycosylation and Glycoproteins Research (25 papers)Neurogenesis and neuroplasticity mechanisms (21 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Immunology
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Joan M. Boggs
160 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 5.1k
- Cell Biology 893
- Developmental Neuroscience 772
- Cellular and Molecular Neuroscience 697
- Organic Chemistry 681
Countries citing papers authored by Joan M. Boggs
This map shows the geographic impact of Joan M. Boggs'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 Joan M. Boggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan M. Boggs more than expected).
Fields of papers citing papers by Joan M. Boggs
This network shows the impact of papers produced by Joan M. Boggs. 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 Joan M. Boggs. The network helps show where Joan M. Boggs may publish in the future.
Co-authorship network of co-authors of Joan M. Boggs
This figure shows the co-authorship network connecting the top 25 collaborators of Joan M. Boggs. A scholar is included among the top collaborators of Joan M. Boggs 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 Joan M. Boggs. Joan M. Boggs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 16 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | 21 | |
| 6 | 1 | |
| 7 | 45 | |
| 8 | 29 | |
| 9 | 71 | |
| 10 | 8 | |
| 11 | 74 | |
| 12 | 16 | |
| 13 | 15 | |
| 14 | 12 | |
| 15 | 43 | |
| 16 | 3 | |
| 17 | 24 | |
| 18 | 34 | |
| 19 | 18 | |
| 20 | 39 |
About Joan M. Boggs
Joan M. Boggs is a scholar working on Developmental Neuroscience, Biophysics and Molecular Biology, having authored 161 papers that have together received 7.0k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (73 papers), Glycosylation and Glycoproteins Research (25 papers) and Neurogenesis and neuroplasticity mechanisms (21 papers). The work is most often cited by research in Developmental Neuroscience (772 citations), Molecular Biology (5.1k citations) and Cell Biology (893 citations). Joan M. Boggs has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Godha Rangaraj, M.A. Moscarello, George Harauz, Kalavelil M. Koshy, Mario A. Moscarello, Roland Martinꝉ, Henry F. McFarland, Wen Gao, J.C. Hsia and Robert Stewart. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.
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.