Katalin Suszták

29.4k total citations · 15 hit papers
190 papers, 16.1k citations indexed

About

Katalin Suszták is a scholar working on Molecular Biology, Nephrology and Genetics. According to data from OpenAlex, Katalin Suszták has authored 190 papers receiving a total of 16.1k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Molecular Biology, 85 papers in Nephrology and 48 papers in Genetics. Recurrent topics in Katalin Suszták's work include Chronic Kidney Disease and Diabetes (54 papers), Renal Diseases and Glomerulopathies (52 papers) and Renal and related cancers (52 papers). Katalin Suszták is often cited by papers focused on Chronic Kidney Disease and Diabetes (54 papers), Renal Diseases and Glomerulopathies (52 papers) and Renal and related cancers (52 papers). Katalin Suszták collaborates with scholars based in United States, Germany and China. Katalin Suszták's co-authors include Erwin P. Böttinger, Hyun Mi Kang, Jihwan Park, Kumar Sharma, Mario Schiffer, Amanda C. Raff, James Pullman, Ae Seo Deok Park, Shizheng Huang and Kimberly Reidy and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Katalin Suszták

181 papers receiving 16.0k citations

Hit Papers

Defective fatty acid oxidation in renal tubular epit... 2006 2026 2012 2019 2014 2006 2015 2018 2014 250 500 750 1000
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.

  1. Defective fatty acid oxidation in renal tubular epithelial cells has a key role in kidney fibrosis development
    2014 1.1k citations Peter S. Choi, Yi-An Ko et al. profile →
  2. Glucose-Induced Reactive Oxygen Species Cause Apoptosis of Podocytes and Podocyte Depletion at the Onset of Diabetic Nephropathy
    2006 941 citations Katalin Suszták et al. profile →
  3. Diabetic kidney disease
    2015 793 citations Katalin Suszták et al. profile →
  4. Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease
    2018 698 citations Jihwan Park, Rojesh Shrestha et al. profile →
  5. Molecular mechanisms of diabetic kidney disease
    2014 688 citations Thomas H. Hostetter, Katalin Suszták et al. Journal of Clinical Investigation profile →
  6. Mouse Models of Diabetic Nephropathy
    2009 680 citations Matthew D. Breyer, Katalin Suszták et al. Journal of the American Society of Nephrology profile →
  7. Transcriptome Analysis of Human Diabetic Kidney Disease
    2011 497 citations Ae Seo Deok Park, Davoud Mohtat et al. profile →
  8. Bulk tissue cell type deconvolution with multi-subject single-cell expression reference
    2019 472 citations Jihwan Park, Katalin Suszták et al. Nature Communications profile →
  9. Mitochondrial Damage and Activation of the STING Pathway Lead to Renal Inflammation and Fibrosis
    2019 461 citations Poonam Dhillon, Shizheng Huang et al. profile →
  10. Podocytopathies
    2020 314 citations Jeffrey B. Kopp, Katalin Suszták et al. profile →
  11. Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis
    2020 264 citations Katalin Suszták et al. Nature Communications profile →
  12. Renal tubule Cpt1a overexpression protects from kidney fibrosis by restoring mitochondrial homeostasis
    2021 237 citations Verónica Miguel, Jessica Tituaña et al. Journal of Clinical Investigation profile →
  13. Molecular pathways that drive diabetic kidney disease
    2023 202 citations Tomohito Doke, Hailong Hu et al. Journal of Clinical Investigation profile →
  14. Diabetes mellitus—Progress and opportunities in the evolving epidemic
    2024 100 citations Katalin Suszták et al. profile →
  15. Inferring super-resolution tissue architecture by integrating spatial transcriptomics with histology
    2024 73 citations Katalin Suszták et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katalin Suszták United States 61 8.2k 6.1k 1.9k 1.8k 1.6k 190 16.1k
Marta Ruiz‐Ortega Spain 70 6.9k 0.8× 4.7k 0.8× 1.0k 0.6× 2.0k 1.1× 2.7k 1.7× 265 18.2k
Raymond C. Harris United States 82 8.6k 1.0× 5.6k 0.9× 1.7k 0.9× 2.3k 1.3× 1.7k 1.0× 334 22.5k
Yashpal S. Kanwar United States 59 6.3k 0.8× 3.7k 0.6× 1.4k 0.8× 1.6k 0.9× 1.6k 1.0× 234 13.8k
Tobias B. Huber Germany 56 5.7k 0.7× 5.2k 0.9× 1.8k 1.0× 1.4k 0.8× 1.7k 1.0× 257 12.7k
Masahiko Kurabayashi Japan 62 5.8k 0.7× 3.4k 0.6× 2.6k 1.4× 2.2k 1.2× 998 0.6× 572 16.9k
Matthias Kretzler United States 85 8.3k 1.0× 9.9k 1.6× 2.5k 1.3× 2.2k 1.2× 4.7k 2.9× 340 22.3k
Kumar Sharma United States 76 7.6k 0.9× 6.9k 1.1× 1.1k 0.6× 2.8k 1.6× 1.2k 0.7× 216 19.1k
Ariela Benigni Italy 77 5.8k 0.7× 5.6k 0.9× 957 0.5× 3.1k 1.7× 2.2k 1.3× 335 18.9k
Toshio Miyata Japan 75 4.6k 0.6× 4.4k 0.7× 1.0k 0.6× 1.8k 1.0× 2.7k 1.6× 326 18.4k
Enyu Imai Japan 61 4.8k 0.6× 7.4k 1.2× 1.5k 0.8× 3.0k 1.7× 923 0.6× 324 18.7k

Countries citing papers authored by Katalin Suszták

Since Specialization
Citations

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

Fields of papers citing papers by Katalin Suszták

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katalin Suszták. 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 Katalin Suszták. The network helps show where Katalin Suszták may publish in the future.

Co-authorship network of co-authors of Katalin Suszták

This figure shows the co-authorship network connecting the top 25 collaborators of Katalin Suszták. A scholar is included among the top collaborators of Katalin Suszták 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 Katalin Suszták. Katalin Suszták 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.
Andrade-Silva, Magaiver, Poonam Dhillon, Andrea Sánchez‐Navarro, et al.. (2024). The critical role of endoplasmic reticulum stress and the stimulator of interferon genes (STING) pathway in kidney fibrosis. Kidney International. 107(2). 302–316. 12 indexed citations
2.
3.
Yan, Yu, Hongbo Liu, Amin Abedini, et al.. (2024). Unraveling the epigenetic code: human kidney DNA methylation and chromatin dynamics in renal disease development. Nature Communications. 15(1). 873–873. 23 indexed citations
4.
Zhou, Jianfu, Amin Abedini, Michael S. Balzer, et al.. (2023). Unified Mouse and Human Kidney Single-Cell Expression Atlas Reveal Commonalities and Differences in Disease States. Journal of the American Society of Nephrology. 34(11). 1843–1862. 19 indexed citations
5.
Goodwin, Amanda, Alison E. John, Chitra Joseph, et al.. (2023). Stretch regulates alveologenesis and homeostasis via mesenchymal Gαq/11-mediated TGFβ2 activation. Development. 150(9). 6 indexed citations
6.
Doke, Tomohito, Sarmistha Mukherjee, Dhanunjay Mukhi, et al.. (2023). NAD+ precursor supplementation prevents mtRNA/RIG-I-dependent inflammation during kidney injury. Nature Metabolism. 5(3). 414–430. 62 indexed citations
7.
Dhillon, Poonam, Hailong Hu, Jihwan Park, et al.. (2023). Increased levels of endogenous retroviruses trigger fibroinflammation and play a role in kidney disease development. Nature Communications. 14(1). 559–559. 34 indexed citations
8.
Hung, Adriana M., Victoria A. Assimon, Hua‐Chang Chen, et al.. (2022). Genetic Inhibition of APOL1 Pore Forming Function Prevents APOL1 Kidney Disease. Journal of the American Society of Nephrology. 33(11S). 411–411.
9.
Gearhart, Micah D., et al.. (2022). Multiomics analysis reveals that hepatocyte nuclear factor 1β regulates axon guidance genes in the developing mouse kidney. Scientific Reports. 12(1). 17586–17586. 1 indexed citations
10.
Doke, Tomohito, Shizheng Huang, Chengxiang Qiu, et al.. (2021). Transcriptome-wide association analysis identifies DACH1 as a kidney disease risk gene that contributes to fibrosis. Journal of Clinical Investigation. 131(10). 50 indexed citations
11.
12.
Palmer, Matthew B., Amin Abedini, Shatakshee Chatterjee, et al.. (2021). The Role of Glomerular Epithelial Injury in Kidney Function Decline in Patients With Diabetic Kidney Disease in the TRIDENT Cohort. Kidney International Reports. 6(4). 1066–1080. 21 indexed citations
13.
Miguel, Verónica, Jessica Tituaña, J. Ignacio Herrero, et al.. (2021). Renal tubule Cpt1a overexpression protects from kidney fibrosis by restoring mitochondrial homeostasis. Journal of Clinical Investigation. 131(5). 237 indexed citations breakdown →
14.
Freedman, Barry I., Jeffrey B. Kopp, Matthew G. Sampson, & Katalin Suszták. (2021). APOL1 at 10 years: progress and next steps. Kidney International. 99(6). 1296–1302. 15 indexed citations
15.
Guan, Yuting, Hongbo Liu, Ziyuan Ma, et al.. (2020). Dnmt3a and Dnmt3b-Decommissioned Fetal Enhancers are Linked to Kidney Disease. Journal of the American Society of Nephrology. 31(4). 765–782. 19 indexed citations
16.
Symmons, Orsolya, Marcello Chang, Ian A. Mellis, et al.. (2019). Allele-specific RNA imaging shows that allelic imbalances can arise in tissues through transcriptional bursting. PLoS Genetics. 15(1). e1007874–e1007874. 23 indexed citations
17.
Breyer, Matthew D. & Katalin Suszták. (2016). The next generation of therapeutics for chronic kidney disease. Nature Reviews Drug Discovery. 15(8). 568–588. 213 indexed citations
18.
Ledó, Nóra, Yi-An Ko, Hyun Mi Kang, et al.. (2014). Functional Genomic Annotation of Genetic Risk Loci Highlights Inflammation and Epithelial Biology Networks in CKD. Journal of the American Society of Nephrology. 26(3). 692–714. 43 indexed citations
19.
Mohtat, Davoud, Yiting Yu, Yi-An Ko, et al.. (2014). Kidney Cancer Is Characterized by Aberrant Methylation of Tissue-Specific Enhancers That Are Prognostic for Overall Survival. Clinical Cancer Research. 20(16). 4349–4360. 55 indexed citations
20.
Ko, Yi-An, Davoud Mohtat, Masako Suzuki, et al.. (2013). Cytosine methylation changes in enhancer regions of core pro-fibrotic genes characterize kidney fibrosis development. Genome biology. 14(10). R108–R108. 180 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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