Mary Pat Reeve
- Physiology top 2%
- Molecular Biology top 10%
- Genetics top 5%
- Oncology top 10%
- Reproductive Medicine top 5%
- Co-authors
- Jeremy P. CheadleJulian R. SampsonJolanta Kasprzyk‐ObaraSandra L. DaboraDavid Neal FranzDavid J. KwiatkowskiPenelope RobertsJohn C. Egelhoff
- Topics
- Tuberous Sclerosis Complex Research (2 papers)Genetic Associations and Epidemiology (2 papers)Genetic factors in colorectal cancer (2 papers)
- Journals
- NatureNature CommunicationsNeuron
- Partner nations
- United StatesFinlandUnited Kingdom
In The Last Decade
Mary Pat Reeve
15 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Physiology 907
- Molecular Biology 859
- Genetics 610
- Oncology 337
- Reproductive Medicine 186
Countries citing papers authored by Mary Pat Reeve
This map shows the geographic impact of Mary Pat Reeve'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 Mary Pat Reeve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Pat Reeve more than expected).
Fields of papers citing papers by Mary Pat Reeve
This network shows the impact of papers produced by Mary Pat Reeve. 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 Mary Pat Reeve. The network helps show where Mary Pat Reeve may publish in the future.
Co-authorship network of co-authors of Mary Pat Reeve
This figure shows the co-authorship network connecting the top 25 collaborators of Mary Pat Reeve. A scholar is included among the top collaborators of Mary Pat Reeve 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 Mary Pat Reeve. Mary Pat Reeve 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 | 0 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 118 | |
| 10 | Mutational Analysis in a Cohort of 224 Tuberous Sclerosis Patients Indicates Increased Severity of TSC2, Compared with TSC1, Disease in Multiple Organsbreakdown → | 700 |
| 11 | 259 | |
| 12 | 92 | |
| 13 | 154 | |
| 14 | 94 | |
| 15 | 355 | |
| 16 | Splicing UNIX into a genome mapping laboratory | 5 |
| 17 | 7 |
About Mary Pat Reeve
Mary Pat Reeve is a scholar working on Developmental Biology, Geriatrics and Gerontology and Periodontics, having authored 17 papers that have together received 1.8k indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (2 papers), Genetic Associations and Epidemiology (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Physiology (907 citations), Reproductive Medicine (186 citations) and Genetics (610 citations). Mary Pat Reeve has collaborated with scholars based in United States, Finland and United Kingdom. Frequent co-authors include Jeremy P. Cheadle, Julian R. Sampson, Jolanta Kasprzyk‐Obara, Sandra L. Dabora, David Neal Franz, David J. Kwiatkowski, Penelope Roberts, John C. Egelhoff, Trevor Hawkins and Joon Yong Chung. Their work appears in journals such as Nature, Nature Communications and Neuron.
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.