Pavel Sumazin

8.1k total citations · 1 hit paper
68 papers, 4.1k citations indexed

About

Pavel Sumazin is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Pavel Sumazin has authored 68 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 26 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in Pavel Sumazin's work include Cancer-related molecular mechanisms research (16 papers), RNA Research and Splicing (12 papers) and Genomics and Chromatin Dynamics (10 papers). Pavel Sumazin is often cited by papers focused on Cancer-related molecular mechanisms research (16 papers), RNA Research and Splicing (12 papers) and Genomics and Chromatin Dynamics (10 papers). Pavel Sumazin collaborates with scholars based in United States, Italy and Taiwan. Pavel Sumazin's co-authors include Andrea Califano, Michael Q. Zhang, Riccardo Dalla‐Favera, Katia Basso, Christof Schneider, Andrew D. Smith, Hua‐Sheng Chiu, Roy L. Maute, Presha Rajbhandari and Mukesh Bansal and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Pavel Sumazin

64 papers receiving 4.1k citations

Hit Papers

align trajectories sort by overperformance

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.

An Extensive MicroRNA-Mediated Network of RNA-RNA Interactions Regulates Established Oncogenic Pathways in Glioblastoma

2011 580 citations Pavel Sumazin, Hua‐Sheng Chiu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pavel Sumazin United States	29	2.8k	1.4k	658	454	411	68	4.1k
Giovanni Ciriello Switzerland	28	2.9k 1.0×	1.4k 1.1×	1.2k 1.9×	494 1.1×	631 1.5×	54	4.4k
Crispin Miller United Kingdom	38	3.7k 1.3×	1.8k 1.3×	1.1k 1.7×	460 1.0×	589 1.4×	94	5.4k
Matan Hofree United States	18	2.0k 0.7×	684 0.5×	538 0.8×	432 1.0×	441 1.1×	25	3.1k
Gabriela Alexe United States	31	2.2k 0.8×	924 0.7×	1.2k 1.8×	485 1.1×	432 1.1×	82	3.9k
Richard Bourgon United States	28	3.5k 1.2×	1.1k 0.8×	1.4k 2.1×	862 1.9×	477 1.2×	55	5.4k
Syed Haider United Kingdom	36	3.3k 1.2×	1.6k 1.1×	1.0k 1.6×	506 1.1×	597 1.5×	111	5.0k
Alistair G. Rust United Kingdom	34	3.0k 1.0×	1.2k 0.9×	646 1.0×	791 1.7×	313 0.8×	76	4.4k
Inmaculada Spiteri United Kingdom	22	2.6k 0.9×	2.2k 1.6×	616 0.9×	288 0.6×	248 0.6×	30	4.1k
Joshua Gould United States	12	2.7k 0.9×	810 0.6×	1.2k 1.8×	601 1.3×	468 1.1×	17	4.1k
Jesse S. Boehm United States	30	2.9k 1.0×	1.5k 1.1×	1.2k 1.8×	274 0.6×	949 2.3×	51	4.3k

Countries citing papers authored by Pavel Sumazin

Since Specialization

Citations

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

Fields of papers citing papers by Pavel Sumazin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Sumazin

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

All Works

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20 of 20 papers shown

Husnayain, Atina, et al.. (2024). Predictive analysis of COVID-19 occurrence and vaccination impacts across the 50 US states. Computers in Biology and Medicine. 185. 109493–109493.

Unger, Susanne, Rhonda E. Ries, Soheil Meshinchi, et al.. (2024). Identification of single-cell blasts in pediatric acute myeloid leukemia using an autoencoder. Life Science Alliance. 7(11). e202402674–e202402674. 1 indexed citations

Zorman, Barry, Pavel Sumazin, Gino M Dettorre, et al.. (2024). A transgenic mouse model of Down syndrome acute lymphoblastic leukemia identifies targetable vulnerabilities. Haematologica. 109(12). 4083–4088. 2 indexed citations

Sufriyana, Herdiantri, et al.. (2024). Estimating individual risk of catheter-associated urinary tract infections using explainable artificial intelligence on clinical data. American Journal of Infection Control. 53(3). 368–374. 1 indexed citations

Cobos, Francisco Avila, Tsz‐Kwong Man, Hua‐Sheng Chiu, et al.. (2023). Effective methods for bulk RNA-seq deconvolution using scnRNA-seq transcriptomes. Genome biology. 24(1). 177–177. 28 indexed citations

Sarabia, Stephen F., et al.. (2023). Molecular Profiling of a Hepatocellular Neoplasm Not Otherwise Specified (HCN-NOS) Demonstrates Distinct Molecular Features in Hepatoblastoma and HCC-Like Components. Pediatric and Developmental Pathology. 27(2). 169–175. 3 indexed citations

Tao, Ling, Mahmoud A. Mohammad, Giorgio Milazzo, et al.. (2022). MYCN-driven fatty acid uptake is a metabolic vulnerability in neuroblastoma. Nature Communications. 13(1). 3728–3728. 38 indexed citations

Fu, Yu, Barry Zorman, Daniele Mercatelli, et al.. (2022). Escalated (Dependent) Oxycodone Self-Administration Is Associated with Cognitive Impairment and Transcriptional Evidence of Neurodegeneration in Human Immunodeficiency Virus (HIV) Transgenic Rats. Viruses. 14(4). 669–669. 2 indexed citations

Chen, Taylor J, et al.. (2022). Krüppel-like Factor 4 Supports the Expansion of Leukemia Stem Cells in MLL-AF9-driven Acute Myeloid Leukemia. Stem Cells. 40(8). 736–750. 5 indexed citations

10.

Zorman, Barry, et al.. (2022). CRLF2 overexpression results in reduced B-cell differentiation and upregulated E2F signaling in the Dp16 mouse model of Down syndrome. Experimental Hematology. 110. 34–38. 3 indexed citations

11.

Rombaut, Dries, Hua‐Sheng Chiu, Bieke Decaesteker, et al.. (2019). Integrative analysis identifies lincRNAs up- and downstream of neuroblastoma driver genes. Scientific Reports. 9(1). 5685–5685. 10 indexed citations

12.

Zhang, Jie, Liu Pin, Junyan Tao, et al.. (2019). TEA Domain Transcription Factor 4 Is the Major Mediator of Yes-Associated Protein Oncogenic Activity in Mouse and Human Hepatoblastoma. American Journal Of Pathology. 189(5). 1077–1090. 19 indexed citations

13.

Zhang, Yankai, Pavel Sumazin, Jacy R. Crosby, et al.. (2018). Metformin induces FOXO3-dependent fetal hemoglobin production in human primary erythroid cells. Blood. 132(3). 321–333. 43 indexed citations

14.

Ustianenko, Dmytro, Hua‐Sheng Chiu, Thomas Treiber, et al.. (2018). LIN28 Selectively Modulates a Subclass of Let-7 MicroRNAs. Molecular Cell. 71(2). 271–283.e5. 83 indexed citations

15.

Bielamowicz, Kevin, Kristen Fousek, Tiara T. Byrd, et al.. (2017). Trivalent CAR T cells overcome interpatient antigenic variability in glioblastoma. Neuro-Oncology. 20(4). 506–518. 339 indexed citations

16.

Barzi, Mercedes, Barry Zorman, Xing Liu, et al.. (2017). A novel humanized mouse lacking murine P450 oxidoreductase for studying human drug metabolism. Nature Communications. 8(1). 39–39. 27 indexed citations

17.

Zhang, Yankai, Alicia Chang, Pavel Sumazin, & Vivien Sheehan. (2017). Piceatannol Induces Fetal Hemoglobin in Erythroid Progenitor Cells from Patients with Sickle Cell Disease. Blood. 130. 2221.

18.

Austin, Eric D., Lijiang Ma, Charles A. LeDuc, et al.. (2012). Whole Exome Sequencing to Identify a Novel Gene (Caveolin-1) Associated With Human Pulmonary Arterial Hypertension. Circulation Cardiovascular Genetics. 5(3). 336–343. 267 indexed citations

19.

Margolin, Adam A., Teresa Palomero, Pavel Sumazin, et al.. (2009). ChIP-on-chip significance analysis reveals large-scale binding and regulation by human transcription factor oncogenes. Proceedings of the National Academy of Sciences. 106(1). 244–249. 63 indexed citations

20.

Bender, Michael A., et al.. (2001). Finding least common ancestors in directed acyclic graphs. Symposium on Discrete Algorithms. 845–854. 12 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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