Matthew C. Hill

4.1k total citations · 2 hit papers
44 papers, 2.3k citations indexed

About

Matthew C. Hill is a scholar working on Molecular Biology, Cell Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Matthew C. Hill has authored 44 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 7 papers in Cell Biology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Matthew C. Hill's work include Congenital heart defects research (12 papers), RNA Research and Splicing (10 papers) and Genomics and Chromatin Dynamics (9 papers). Matthew C. Hill is often cited by papers focused on Congenital heart defects research (12 papers), RNA Research and Splicing (10 papers) and Genomics and Chromatin Dynamics (9 papers). Matthew C. Hill collaborates with scholars based in United States, China and Netherlands. Matthew C. Hill's co-authors include James F. Martin, Yuka Morikawa, Patrick T. Ellinor, Min Zhang, John P. Leach, Thomas J. Martin, Todd R. Heallen, Mark Chaffin, Ling Xiao and X. Shirley Liu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Matthew C. Hill

43 papers receiving 2.3k citations

Hit Papers

Transfer learning enables predictions in network biology 2022 2026 2023 2024 2023 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew C. Hill United States 22 1.6k 478 359 304 201 44 2.3k
Xiaolei Xu United States 32 2.4k 1.5× 1.0k 2.1× 655 1.8× 148 0.5× 376 1.9× 119 3.5k
Steffen Just Germany 33 2.5k 1.5× 1.1k 2.3× 642 1.8× 167 0.5× 243 1.2× 85 3.3k
Mingxia Gu United States 26 1.2k 0.8× 358 0.7× 123 0.3× 352 1.2× 79 0.4× 57 2.1k
Nicola Smart United Kingdom 30 2.0k 1.3× 646 1.4× 471 1.3× 1.2k 3.9× 107 0.5× 66 3.0k
Marc K. Saba-El-Leil Canada 19 1.9k 1.2× 307 0.6× 209 0.6× 181 0.6× 119 0.6× 28 2.4k
Ingeborg Stalmans Belgium 40 1.8k 1.1× 149 0.3× 399 1.1× 268 0.9× 97 0.5× 238 6.5k
Yi Fang China 16 1.5k 1.0× 285 0.6× 275 0.8× 420 1.4× 144 0.7× 30 1.9k
Shohei Ikeda Japan 28 1.3k 0.8× 642 1.3× 453 1.3× 287 0.9× 101 0.5× 80 2.6k
Hongwei Qian Australia 29 2.0k 1.3× 707 1.5× 380 1.1× 225 0.7× 181 0.9× 55 2.8k
Anke Zieseniß Germany 19 794 0.5× 299 0.6× 202 0.6× 139 0.5× 128 0.6× 29 1.3k

Countries citing papers authored by Matthew C. Hill

Since Specialization
Citations

This map shows the geographic impact of Matthew C. 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 Matthew C. Hill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew C. Hill more than expected).

Fields of papers citing papers by Matthew C. Hill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew C. 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 Matthew C. Hill. The network helps show where Matthew C. Hill may publish in the future.

Co-authorship network of co-authors of Matthew C. Hill

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

All Works

20 of 20 papers shown
1.
Scavuzzo, Marissa A., Wojciech J. Szlachcic, Matthew C. Hill, et al.. (2025). Pancreatic organogenesis mapped through space and time. Experimental & Molecular Medicine. 57(1). 204–220. 2 indexed citations
2.
Hill, Matthew C., et al.. (2025). Mapping the transcriptional and epigenetic landscape of organotypic endothelial diversity in the developing and adult mouse. Nature Cardiovascular Research. 4(4). 473–495. 1 indexed citations
3.
Tang, Li, et al.. (2025). A 3D Genome Atlas of Genetic Variants and Their Pathological Effects in Cancer. Advanced Science. 12(19). e2408420–e2408420.
4.
Morikawa, Yuka, Gang Li, Shijie Liu, et al.. (2024). YAP Overcomes Mechanical Barriers to Induce Mitotic Rounding and Adult Cardiomyocyte Division. Circulation. 151(1). 76–93. 5 indexed citations
5.
Tang, Li, et al.. (2024). MMCT-Loop: a mix model-based pipeline for calling targeted 3D chromatin loops. Nucleic Acids Research. 52(5). e25–e25. 1 indexed citations
6.
Simonson, Bridget, Mark Chaffin, Matthew C. Hill, et al.. (2023). Single-nucleus RNA sequencing in ischemic cardiomyopathy reveals common transcriptional profile underlying end-stage heart failure. Cell Reports. 42(2). 112086–112086. 38 indexed citations
7.
Nauffal, Victor, Paolo Di Achille, Marcus D. R. Klarqvist, et al.. (2023). Genetics of myocardial interstitial fibrosis in the human heart and association with disease. Nature Genetics. 55(5). 777–786. 39 indexed citations
8.
Hill, Matthew C., Zachary A. Kadow, Yuka Morikawa, et al.. (2022). Integrated multi-omic characterization of congenital heart disease. Nature. 608(7921). 181–191. 75 indexed citations
9.
Tang, Li, Matthew C. Hill, Patrick T. Ellinor, & Min Li. (2022). Bacon: a comprehensive computational benchmarking framework for evaluating targeted chromatin conformation capture-specific methodologies. Genome biology. 23(1). 30–30. 7 indexed citations
10.
Achilleos, Annita, Matthew C. Hill, Alexander B. Saltzman, et al.. (2022). Mutations in Hcfc1 and Ronin result in an inborn error of cobalamin metabolism and ribosomopathy. Nature Communications. 13(1). 134–134. 15 indexed citations
11.
Chaffin, Mark, Irinna Papangeli, Bridget Simonson, et al.. (2022). Single-nucleus profiling of human dilated and hypertrophic cardiomyopathy. Nature. 608(7921). 174–180. 180 indexed citations breakdown →
12.
Kahr, Peter C., Ge Tao, Zachary A. Kadow, et al.. (2021). A novel transgenic Cre allele to label mouse cardiac conduction system. Developmental Biology. 478. 163–172. 4 indexed citations
13.
Hoegenauer, Kevin A., Ayumi Kitano, Matthew V. Holt, et al.. (2021). The histone H3.3 chaperone HIRA restrains erythroid-biased differentiation of adult hematopoietic stem cells. Stem Cell Reports. 16(8). 2014–2028. 8 indexed citations
14.
Tang, Li, Matthew C. Hill, Jun Wang, et al.. (2020). Predicting unrecognized enhancer-mediated genome topology by an ensemble machine learning model. Genome Research. 30(12). 1835–1845. 13 indexed citations
15.
Xiao, Yang, Matthew C. Hill, Lele Li, et al.. (2019). Hippo pathway deletion in adult resting cardiac fibroblasts initiates a cell state transition with spontaneous and self-sustaining fibrosis. Genes & Development. 33(21-22). 1491–1505. 97 indexed citations
16.
Tepe, Burak, Matthew C. Hill, Brandon Pekarek, et al.. (2018). Single-Cell RNA-Seq of Mouse Olfactory Bulb Reveals Cellular Heterogeneity and Activity-Dependent Molecular Census of Adult-Born Neurons. Cell Reports. 25(10). 2689–2703.e3. 102 indexed citations
17.
Hill, Matthew C. & Jing‐Ke Weng. (2018). Pièce de Self-Résistance: a New Paradigm for Natural-Product Herbicide Discovery. Molecular Plant. 11(9). 1115–1116. 3 indexed citations
18.
Xiao, Yang, Matthew C. Hill, Min Zhang, et al.. (2018). Hippo Signaling Plays an Essential Role in Cell State Transitions during Cardiac Fibroblast Development. Developmental Cell. 45(2). 153–169.e6. 139 indexed citations
19.
Leach, John P., Todd R. Heallen, Min Zhang, et al.. (2017). Hippo pathway deficiency reverses systolic heart failure after infarction. Nature. 550(7675). 260–264. 300 indexed citations
20.
Bissig-Choisat, Beatrice, Lili Wang, Xavier Legras, et al.. (2015). Development and rescue of human familial hypercholesterolaemia in a xenograft mouse model. Nature Communications. 6(1). 7339–7339. 45 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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