John G. Conboy
- Molecular Biology top 2%
- Physiology top 1%
- Cell Biology top 1%
- Pulmonary and Respiratory Medicine top 5%
- Hematology top 5%
- Co-authors
- Narla MohandasMarilyn ParraYuet Wai KanJoel Anne ChasisSherry L. GeeN MohandasLoren D. WalenskyLeah Rosenberg
- Topics
- Erythrocyte Function and Pathophysiology (40 papers)RNA Research and Splicing (32 papers)RNA modifications and cancer (25 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNucleic Acids Research
- Partner nations
- United StatesJapanChina
In The Last Decade
John G. Conboy
73 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 2.7k
- Physiology 1.4k
- Cell Biology 808
- Pulmonary and Respiratory Medicine 603
- Hematology 263
Countries citing papers authored by John G. Conboy
This map shows the geographic impact of John G. Conboy'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 John G. Conboy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John G. Conboy more than expected).
Fields of papers citing papers by John G. Conboy
This network shows the impact of papers produced by John G. Conboy. 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 John G. Conboy. The network helps show where John G. Conboy may publish in the future.
Co-authorship network of co-authors of John G. Conboy
This figure shows the co-authorship network connecting the top 25 collaborators of John G. Conboy. A scholar is included among the top collaborators of John G. Conboy 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 John G. Conboy. John G. Conboy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 70 | |
| 3 | 257 | |
| 4 | 15 | |
| 5 | 76 | |
| 6 | 21 | |
| 7 | 69 | |
| 8 | 27 | |
| 9 | Fox-2 Splicing Factor Binds to a Conserved Intron Motif to Promote Inclusion of Protein \n4.1R Alternative Exon 16 | 94 |
| 10 | 11 | |
| 11 | 48 | |
| 12 | 114 | |
| 13 | 39 | |
| 14 | 38 | |
| 15 | 97 | |
| 16 | 57 | |
| 17 | 40 | |
| 18 | Structure, function, and molecular genetics of erythroid membrane skeletal protein 4.1 in normal and abnormal red blood cells. | 101 |
| 19 | 35 | |
| 20 | 113 |
About John G. Conboy
John G. Conboy is a scholar working on Physiology, Cell Biology and Clinical Biochemistry, having authored 73 papers that have together received 3.9k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (40 papers), RNA Research and Splicing (32 papers) and RNA modifications and cancer (25 papers). The work is most often cited by research in Physiology (1.4k citations), Cell Biology (808 citations) and Molecular Biology (2.7k citations). John G. Conboy has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Narla Mohandas, Marilyn Parra, Yuet Wai Kan, Joel Anne Chasis, Sherry L. Gee, N Mohandas, Loren D. Walensky, Leah Rosenberg, Philippe Gascard and Solomon H. Snyder. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.