Leah Conroy
Impact in
- Neurology top 1%
- Neurofibromatosis and Schwannoma Cases
- Neuroblastoma Research and Treatments
- Cell Biology top 2%
- Cellular transport and secretion
- Hippo pathway signaling and YAP/TAZ
Papers in
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- Protein Kinase Regulation and GTPase Signaling 4
- Viral Infectious Diseases and Gene Expression in Insects 2
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- Hippo pathway signaling and YAP/TAZ 3
- Cellular transport and secretion 2
- Co-authors
- Robin Clark (6 shared papers)Frank McCormick (6 shared papers)Walter J. Crosier (4 shared papers)Richard Cawthon (2 shared papers)Gideon Bollag (2 shared papers)Paul Polakis (5 shared papers)George A. Martin (2 shared papers)Michael A. Innis (2 shared papers)
- Journals
- Cell (4 papers)Molecular and Cellular Biology (2 papers)Current Biology (1 paper)Journal of Basic Microbiology (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Leah Conroy
14 papers receiving 2.3k citations
Leah Conroy's Hit Papers
Peers
Comparison fields: 5 of 88
- Neurology 690
- Cell Biology 534
- Molecular Biology 1.5k
- Immunology and Allergy 120
- Oncology 306
Countries citing papers authored by Leah Conroy
This map shows the geographic impact of Leah Conroy'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 Leah Conroy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leah Conroy more than expected).
Fields of papers citing papers by Leah Conroy
This network shows the impact of papers produced by Leah Conroy. 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 Leah Conroy. The network helps show where Leah Conroy may publish in the future.
Co-authors
The 25 scholars most cited alongside Leah Conroy, 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 | The GAP-related domain of the neurofibromatosis type 1 gene product interacts with ras p21 Hit paper breakdown → | 1990 | 833 |
| 2 | 1992 | 359 | |
| 3 | 1992 | 250 | |
| 4 | 1991 | 225 | |
| 5 | 1998 | 184 | |
| 6 | 1991 | 166 | |
| 7 | 1992 | 139 | |
| 8 | 1993 | 124 | |
| 9 | 1996 | 60 | |
| 10 | 1992 | 48 | |
| 11 | 1992 | 33 | |
| 12 | 1995 | 16 | |
| 13 | 1992 | 11 | |
| 14 | 2023 | 2 |
About Leah Conroy
Leah Conroy is a scholar working on Molecular Biology, Cell Biology, Neurology, Oncology and Immunology and Allergy, having authored 14 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Neurofibromatosis and Schwannoma Cases (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Cellular transport and secretion (2 papers), Cancer-related Molecular Pathways (2 papers), Neuroblastoma Research and Treatments (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Neurology (690 citations), Cell Biology (534 citations), Molecular Biology (1.5k citations), Immunology and Allergy (120 citations) and Oncology (306 citations). Leah Conroy has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Robin Clark, Frank McCormick, Walter J. Crosier, Richard Cawthon, Gideon Bollag, Paul Polakis, George A. Martin, Michael A. Innis, Peter C. McCabe and Heinz Haubruck. Their work appears in journals such as Cell, Molecular and Cellular Biology, Current Biology, Journal of Basic Microbiology and Journal of Neurochemistry.
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.