Jon Hill

1.0k total citations · 1 hit paper
14 papers, 585 citations indexed

About

Jon Hill is a scholar working on Molecular Biology, Nephrology and Cancer Research. According to data from OpenAlex, Jon Hill has authored 14 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Nephrology and 3 papers in Cancer Research. Recurrent topics in Jon Hill's work include Single-cell and spatial transcriptomics (3 papers), Chronic Kidney Disease and Diabetes (3 papers) and Renal Diseases and Glomerulopathies (3 papers). Jon Hill is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Chronic Kidney Disease and Diabetes (3 papers) and Renal Diseases and Glomerulopathies (3 papers). Jon Hill collaborates with scholars based in United States, France and Belgium. Jon Hill's co-authors include Carine M. Boustany‐Kari, Jonathan Manning, Melissa G. Mendez, Xiaohong Cao, Ji Wen, Yong Wang, Mugdha Khaladkar, Bartholomew J. Naughton, Euphemia Mutasa-Gottgens and Wendi Bacon and has published in prestigious journals such as Nature Medicine, Nature Communications and Bioinformatics.

In The Last Decade

Jon Hill

13 papers receiving 578 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Applications of single-cell RNA sequencing in drug discovery and development

2023 205 citations Bram Van de Sande, Joon Sang Lee et al. Nature Reviews Drug Discovery profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jon Hill United States	10	315	128	75	70	59	14	585
Sabine Amsellem France	8	257 0.8×	106 0.8×	73 1.0×	93 1.3×	66 1.1×	10	725
Wanxin Tang China	13	239 0.8×	104 0.8×	76 1.0×	52 0.7×	31 0.5×	30	494
Dalia El‐Gamal United States	12	237 0.8×	119 0.9×	82 1.1×	78 1.1×	30 0.5×	30	763
Latha Paka United States	12	200 0.6×	50 0.4×	87 1.2×	49 0.7×	22 0.4×	17	518
Kristin Werner Germany	13	270 0.9×	122 1.0×	136 1.8×	33 0.5×	32 0.5×	22	755
Zeguo Sun China	17	663 2.1×	249 1.9×	333 4.4×	62 0.9×	56 0.9×	29	996
Gordana Petruševska North Macedonia	14	280 0.9×	116 0.9×	88 1.2×	44 0.6×	65 1.1×	70	889
Mumin Shao China	19	284 0.9×	93 0.7×	147 2.0×	122 1.7×	63 1.1×	46	890
Nan Chen China	13	228 0.7×	128 1.0×	57 0.8×	47 0.7×	41 0.7×	57	624
Frank S Ong United States	15	274 0.9×	21 0.2×	62 0.8×	39 0.6×	56 0.9×	21	719

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-authorship network of co-authors of Jon Hill

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Hill. A scholar is included among the top collaborators of Jon Hill 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 Jon Hill. Jon Hill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Sullivan, Katie, Dhanunjay Mukhi, Magaiver Andrade-Silva, et al.. (2025). Glutathione-specific gamma–glutamylcyclotransferase 1 ( CHAC1 ) increases kidney disease risk by modulating ferroptosis. Science Translational Medicine. 17(795). eadn3079–eadn3079. 3 indexed citations

Hill, Jon, et al.. (2025). Human three-dimensional engineered muscle tissue characterization and intramyocellular lipid modeling. Journal of Tissue Engineering. 16. 1798873014–1798873014.

Du, Kuo, David S. Umbaugh, Liuyang Wang, et al.. (2025). Targeting senescent hepatocytes for treatment of metabolic dysfunction-associated steatotic liver disease and multi-organ dysfunction. Nature Communications. 16(1). 3038–3038. 11 indexed citations

Sande, Bram Van de, Joon Sang Lee, Euphemia Mutasa-Gottgens, et al.. (2023). Applications of single-cell RNA sequencing in drug discovery and development. Nature Reviews Drug Discovery. 22(6). 496–520. 205 indexed citations breakdown →

Reinhart, Glenn A., Paul C. Harrison, Jon Hill, et al.. (2022). The Novel, Clinical-Stage Soluble Guanylate Cyclase Activator BI 685509 Protects from Disease Progression in Models of Renal Injury and Disease. Journal of Pharmacology and Experimental Therapeutics. 384(3). 382–392. 22 indexed citations

Pantano, Lorena, Yang Shen, Zhu Zhuo, et al.. (2021). Molecular characterization and cell type composition deconvolution of fibrosis in NAFLD. Scientific Reports. 11(1). 18045–18045. 55 indexed citations

Abedini, Amin, Hongbo Liu, Ziyuan Ma, et al.. (2021). Renal Histologic Analysis Provides Complementary Information to Kidney Function Measurement for Patients with Early Diabetic or Hypertensive Disease. Journal of the American Society of Nephrology. 32(11). 2863–2876. 19 indexed citations

Hill, Jon. (2020). Gene Teller: an extensible Alexa Skill for gene-relevant databases. Bioinformatics. 36(21). 5267–5268. 2 indexed citations

Whitehurst, Charles E., et al.. (2019). Single Cell Explorer, collaboration-driven tools to leverage large-scale single cell RNA-seq data. BMC Genomics. 20(1). 676–676. 16 indexed citations

10.

Looker, Helen C., Michael Mauer, Pierre‐Jean Saulnier, et al.. (2019). Changes in Albuminuria But Not GFR are Associated with Early Changes in Kidney Structure in Type 2 Diabetes. Journal of the American Society of Nephrology. 30(6). 1049–1059. 42 indexed citations

11.

Qiu, Chengxiang, Shizheng Huang, Jihwan Park, et al.. (2018). Renal compartment–specific genetic variation analyses identify new pathways in chronic kidney disease. Nature Medicine. 24(11). 1721–1731. 146 indexed citations

12.

Knight, Brian L., Jing Yuan, Jennifer Hall, et al.. (2018). Pathogenesis of Renal Injury and Gene Expression Changes in the Male CD-1 Mouse Associated with Exposure to Empagliflozin. Toxicologic Pathology. 46(6). 671–682. 5 indexed citations

13.

Brenneman, Jehrod, et al.. (2016). Emerging therapeutics for the treatment of diabetic nephropathy. Bioorganic & Medicinal Chemistry Letters. 26(18). 4394–4402. 25 indexed citations

14.

Loging, William, et al.. (2011). Cheminformatic/bioinformatic analysis of large corporate databases: Application to drug repurposing. Drug Discovery Today Therapeutic Strategies. 8(3-4). 109–116. 34 indexed citations

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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