Jon Hill

1.1k citations
14 papers · 706 · 1 hit paper · h-index 10

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
  • Biophysics top 10%

Papers in

    • Chronic Kidney Disease and Diabetes 3
    • Dialysis and Renal Disease Management 1
    • Cancer Genomics and Diagnostics 1

Jon Hill

13 papers receiving 696 citations

Jon Hill's Hit Papers

Applications of single-cell RNA sequencing in drug discovery and development 2023 · 271 citations
2710+1+2Years since publication50100150200250

Peers

Jon Hill
Comparison fields: 5 of 93
  • Nephrology 123
  • Biophysics 29
  • Cancer Research 67
  • Molecular Biology 314
  • Aging 6
Replace Mumin Shao with:
Mumin Shao China
Latha Paka United States
Laoighse Mulrane Ireland
Jennifer A. Kennedy Australia
Sai Mukund Ramakrishnan United States
Nan Chen China
Xu Cao China
Liza A. Vergara Australia
Xiaoying Lou China
Kristin Werner Germany
Jon Hill relative to Mumin Shao China Mumin Shao's profile →
Citations per field
00.5×2×3×4×4.8×
Mumin Shao · 1×
Citations per year

Countries citing papers authored by Jon Hill

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jon Hill Line = papers co-authored together Jon Hill links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Applications of single-cell RNA sequencing in drug discovery and development
Hit paper breakdown →
2023271
2 2018159
3 202159
4 201945
5 201141
6 202227
7 201627
8 202123
9 202520
10 201918
11 20257
12 20186
13 20203
14 20250

About Jon Hill

Jon Hill is a scholar working on Nephrology, Cancer Research, Endocrinology, Diabetes and Metabolism, Molecular Biology and Biophysics, having authored 14 papers that have together received 706 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (3 papers), Single-cell and spatial transcriptomics (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Diabetes Treatment and Management (2 papers), Cell Image Analysis Techniques (1 paper), Cancer Genomics and Diagnostics (1 paper), Renin-Angiotensin System Studies (1 paper) and Dialysis and Renal Disease Management (1 paper). The work is most often cited by research in Nephrology (123 citations), Biophysics (29 citations), Cancer Research (67 citations), Molecular Biology (314 citations) and Aging (6 citations). Jon Hill has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Carine M. Boustany‐Kari, Xiao Chen, Melissa G. Mendez, Ji Wen, Jonathan R. Manning, Joon Sang Lee, Yong Wang, Euphemia Mutasa-Gottgens, Namit Kumar and Xiaohong Cao. Their work appears in journals such as Journal of the American Society of Nephrology, Scientific Reports, Bioinformatics, Toxicologic Pathology and Journal of Pharmacology and Experimental Therapeutics.

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.

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