Jonathan M. Shillingford
- Molecular Biology top 5%
- Genetics top 1%
- Oncology top 5%
- Pathology and Forensic Medicine top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Thomas WeimbsLothar HennighausenGregory G. GerminoKlaus PiontekKeiko MiyoshiKay‐Uwe WagnerGertraud W. RobinsonChris A. Flask
- Topics
- Genetic and Kidney Cyst Diseases (11 papers)Renal and related cancers (7 papers)Biomedical Research and Pathophysiology (5 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Cell BiologyMolecular and Cellular Biology
- Partner nations
- United StatesFranceJapan
In The Last Decade
Jonathan M. Shillingford
28 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.4k
- Genetics 1.2k
- Oncology 503
- Pathology and Forensic Medicine 411
- Pulmonary and Respiratory Medicine 198
Countries citing papers authored by Jonathan M. Shillingford
This map shows the geographic impact of Jonathan M. Shillingford'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 Jonathan M. Shillingford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Shillingford more than expected).
Fields of papers citing papers by Jonathan M. Shillingford
This network shows the impact of papers produced by Jonathan M. Shillingford. 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 Jonathan M. Shillingford. The network helps show where Jonathan M. Shillingford may publish in the future.
Co-authorship network of co-authors of Jonathan M. Shillingford
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Shillingford. A scholar is included among the top collaborators of Jonathan M. Shillingford 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 Jonathan M. Shillingford. Jonathan M. Shillingford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 24 | |
| 3 | 6 | |
| 4 | 23 | |
| 5 | 31 | |
| 6 | 84 | |
| 7 | 10 | |
| 8 | 103 | |
| 9 | 209 | |
| 10 | The mTOR pathway is regulated by polycystin-1, and its inhibition reverses renal cystogenesis in polycystic kidney diseasebreakdown → | 612 |
| 11 | 11 | |
| 12 | 47 | |
| 13 | 106 | |
| 14 | 136 | |
| 15 | 48 | |
| 16 | 73 | |
| 17 | 4 | |
| 18 | 71 | |
| 19 | 21 | |
| 20 | 4 |
About Jonathan M. Shillingford
Jonathan M. Shillingford is a scholar working on Genetics, Pathology and Forensic Medicine and Oncology, having authored 28 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (11 papers), Renal and related cancers (7 papers) and Biomedical Research and Pathophysiology (5 papers). The work is most often cited by research in Genetics (1.2k citations), Nephrology (185 citations) and Pathology and Forensic Medicine (411 citations). Jonathan M. Shillingford has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Thomas Weimbs, Lothar Hennighausen, Gregory G. Germino, Klaus Piontek, Keiko Miyoshi, Kay‐Uwe Wagner, Gertraud W. Robinson, Chris A. Flask, Noel Murcia and Ryan C. Hedgepeth. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Molecular and Cellular Biology.
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.