Robert G. Kelly
- Molecular Biology top 0.5%
- Surgery top 1%
- Epidemiology top 1%
- Genetics top 1%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Margaret BuckinghamNigel A. BrownVirginia E. PapaioannouShahragim TajbakhshSigolène M. MeilhacStéphane ZaffranKarim MesbahGiulio Cossu
- Topics
- Congenital heart defects research (100 papers)Congenital Heart Disease Studies (45 papers)Developmental Biology and Gene Regulation (25 papers)
- Cited by
- Molecular BiologyAgingGenetics
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
Robert G. Kelly
137 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 8.6k
- Surgery 2.2k
- Epidemiology 2.1k
- Genetics 1.7k
- Pulmonary and Respiratory Medicine 1.4k
Countries citing papers authored by Robert G. Kelly
This map shows the geographic impact of Robert G. Kelly'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 Robert G. Kelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert G. Kelly more than expected).
Fields of papers citing papers by Robert G. Kelly
This network shows the impact of papers produced by Robert G. Kelly. 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 Robert G. Kelly. The network helps show where Robert G. Kelly may publish in the future.
Co-authorship network of co-authors of Robert G. Kelly
This figure shows the co-authorship network connecting the top 25 collaborators of Robert G. Kelly. A scholar is included among the top collaborators of Robert G. Kelly 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 Robert G. Kelly. Robert G. Kelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 16 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 32 | |
| 10 | 38 | |
| 11 | 18 | |
| 12 | 23 | |
| 13 | 17 | |
| 14 | 54 | |
| 15 | 62 | |
| 16 | 36 | |
| 17 | Fgf10 expression identifies parabronchial smooth muscle cell progenitors and is required for their entry into the smooth muscle cell lineage | 8 |
| 18 | 156 | |
| 19 | The Arterial Pole of the Mouse Heart Forms from Fgf10-Expressing Cells in Pharyngeal Mesodermbreakdown → | 645 |
| 20 | 48 |
About Robert G. Kelly
Robert G. Kelly is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 140 papers that have together received 10.5k indexed citations. Recurring topics across this work include Congenital heart defects research (100 papers), Congenital Heart Disease Studies (45 papers) and Developmental Biology and Gene Regulation (25 papers). The work is most often cited by research in Molecular Biology (8.6k citations), Aging (131 citations) and Genetics (672 citations). Robert G. Kelly has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Margaret Buckingham, Nigel A. Brown, Virginia E. Papaioannou, Shahragim Tajbakhsh, Sigolène M. Meilhac, Stéphane Zaffran, Karim Mesbah, Giulio Cossu, Lucile Miquerol and Peter S. Zammit. Their work appears in journals such as Nature, 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.