Jon Hill
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Biophysics top 10%
Papers in
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- Single-cell and spatial transcriptomics 3
-
- Renal Diseases and Glomerulopathies 3
- Chronic Kidney Disease and Diabetes 3
- Dialysis and Renal Disease Management 2
- Co-authors
- Carine M. Boustany‐Kari (4 shared papers)Namit Kumar (1 shared paper)Joon Sang Lee (1 shared paper)Xiaohong Cao (1 shared paper)Ji Wen (1 shared paper)Wendi Bacon (1 shared paper)Paolo Guarnieri (3 shared papers)Bram Van de Sande (1 shared paper)
- Journals
- Journal of the American Society of Nephrology (2 papers)Journal of Tissue Engineering (1 paper)Nature Medicine (1 paper)Science Translational Medicine (1 paper)BMC Genomics (1 paper)
- Partner nations
- United StatesFranceBelgium
In The Last Decade
Jon Hill
13 papers receiving 578 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Nephrology 128
- Biophysics 29
- Cancer Research 75
- Molecular Biology 315
- Aging 7
Countries citing papers authored by Jon Hill
This map shows the geographic impact of Jon Hill'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 Jon Hill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Hill more than expected).
Fields of papers citing papers by Jon Hill
This network shows the impact of papers produced by Jon Hill. 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 Jon Hill. The network helps show where Jon Hill may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Hill, 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 | Applications of single-cell RNA sequencing in drug discovery and development Hit paper breakdown → | 2023 | 205 |
| 2 | 2018 | 146 | |
| 3 | 2021 | 55 | |
| 4 | 2019 | 42 | |
| 5 | 2011 | 34 | |
| 6 | 2016 | 25 | |
| 7 | 2022 | 22 | |
| 8 | 2021 | 19 | |
| 9 | 2019 | 16 | |
| 10 | 2025 | 11 | |
| 11 | 2018 | 5 | |
| 12 | 2025 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2025 | 0 |
About Jon Hill
Jon Hill is a scholar working on Molecular Biology, Nephrology, Cancer Research, Pulmonary and Respiratory Medicine and Epidemiology, having authored 14 papers that have together received 585 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Renal Diseases and Glomerulopathies (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Cancer Genomics and Diagnostics (2 papers), Diabetes Treatment and Management (2 papers), Dialysis and Renal Disease Management (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Nephrology (128 citations), Biophysics (29 citations), Cancer Research (75 citations), Molecular Biology (315 citations) and Aging (7 citations). Jon Hill has collaborated with scholars based in United States, France and Belgium. Frequent co-authors include Carine M. Boustany‐Kari, Namit Kumar, Joon Sang Lee, Xiaohong Cao, Ji Wen, Wendi Bacon, Paolo Guarnieri, Bram Van de Sande, Yong Wang and Andrew R. Leach. Their work appears in journals such as Journal of the American Society of Nephrology, Journal of Tissue Engineering, Nature Medicine, Science Translational Medicine and BMC Genomics.
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.