Aviv Madar

3.5k total citations · 1 hit paper
16 papers, 1.3k citations indexed

About

Aviv Madar is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Aviv Madar has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Aviv Madar's work include Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (5 papers) and CAR-T cell therapy research (3 papers). Aviv Madar is often cited by papers focused on Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (5 papers) and CAR-T cell therapy research (3 papers). Aviv Madar collaborates with scholars based in United States, Switzerland and United Kingdom. Aviv Madar's co-authors include Richard Bonneau, Alex Greenfield, Harry Ostrer, Sònia Guedan, Carl H. June, Avery D. Posey, Eric Vanden‐Eijnden, Matthew J. Frigault, Carmine Carpenito and Ji‐Hyun Lee and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Aviv Madar

16 papers receiving 1.2k 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.

TET2-Driven Clonal Hematopoiesis and Response to Canakinumab

2022 218 citations E. C. Svensson, Aviv Madar et al. JAMA Cardiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aviv Madar United States	12	637	427	261	217	158	16	1.3k
Travis Law United States	6	994 1.6×	301 0.7×	243 0.9×	111 0.5×	112 0.7×	8	1.3k
Hiro Shimada United States	8	689 1.1×	542 1.3×	306 1.2×	118 0.5×	55 0.3×	14	1.7k
Jishuai Zhang China	23	889 1.4×	392 0.9×	184 0.7×	145 0.7×	76 0.5×	50	1.4k
Matthew MacKay United States	12	1.2k 1.9×	378 0.9×	143 0.5×	148 0.7×	112 0.7×	20	1.7k
Lukas P. Frenzel Germany	19	664 1.0×	354 0.8×	304 1.2×	50 0.2×	40 0.3×	34	1.3k
Isabelle Robert France	19	1.1k 1.8×	710 1.7×	445 1.7×	72 0.3×	36 0.2×	36	1.7k
Daniel C. Kirouac United States	16	684 1.1×	270 0.6×	166 0.6×	51 0.2×	269 1.7×	28	1.2k
Andrea M. Griesinger United States	17	759 1.2×	300 0.7×	224 0.9×	53 0.2×	52 0.3×	37	1.3k
Ru‐Fang Yeh United States	20	1.9k 3.0×	379 0.9×	148 0.6×	310 1.4×	117 0.7×	26	2.7k
Silvana Debernardi United Kingdom	21	1.4k 2.2×	244 0.6×	91 0.3×	256 1.2×	74 0.5×	39	2.1k

Countries citing papers authored by Aviv Madar

Since Specialization

Citations

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

Fields of papers citing papers by Aviv Madar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aviv Madar

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Svensson, E. C., Aviv Madar, Catarina D. Campbell, et al.. (2022). TET2-Driven Clonal Hematopoiesis and Response to Canakinumab. JAMA Cardiology. 7(5). 521–521. 218 indexed citations breakdown →

Delgado, Ana C., Angel R. Maldonado‐Soto, Violeta Silva-Vargas, et al.. (2021). Release of stem cells from quiescence reveals gliogenic domains in the adult mouse brain. Science. 372(6547). 1205–1209. 51 indexed citations

Scotti, Celeste, Joseph Gimbel, Didier Laurent, et al.. (2021). First-in-human trial results of LNA043, a novel cartilage regenerative treatment for osteoarthritis. Osteoarthritis and Cartilage. 29. S214–S214. 1 indexed citations

Guedan, Sònia, Aviv Madar, Victoria Casado‐Medrano, et al.. (2020). Single residue in CD28-costimulated CAR-T cells limits long-term persistence and antitumor durability. Journal of Clinical Investigation. 130(6). 3087–3097. 126 indexed citations

Miraldi, Emily R., Maria Pokrovskii, Aaron Watters, et al.. (2019). Leveraging chromatin accessibility for transcriptional regulatory network inference in T Helper 17 Cells. Genome Research. 29(3). 449–463. 67 indexed citations

Svensson, E. C., Aviv Madar, Catarina D. Campbell, et al.. (2018). Abstract 15111: TET2-Driven Clonal Hematopoiesis Predicts Enhanced Response to Canakinumab in the CANTOS Trial: An Exploratory Analysis. Circulation. 32 indexed citations

Gonsalves, Foster C., Xiaoqian Zhang, Penelope Hayward, et al.. (2015). Inhibition of β-catenin–TCF1 interaction delays differentiation of mouse embryonic stem cells. The Journal of Cell Biology. 211(1). 39–51. 30 indexed citations

Chang, Diana, Feng Gao, Yedael Y. Waldman, et al.. (2014). Accounting for eXentricities: Analysis of the X Chromosome in GWAS Reveals X-Linked Genes Implicated in Autoimmune Diseases. PLoS ONE. 9(12). e113684–e113684. 75 indexed citations

Guedan, Sònia, Xi Chen, Aviv Madar, et al.. (2014). ICOS-based chimeric antigen receptors program bipolar TH17/TH1 cells. Blood. 124(7). 1070–1080. 275 indexed citations

10.

Yu, Bowen, Harish Doraiswamy, Xi Chen, et al.. (2014). Genotet: An Interactive Web-based Visual Exploration Framework to Support Validation of Gene Regulatory Networks. IEEE Transactions on Visualization and Computer Graphics. 20(12). 1903–1912. 9 indexed citations

11.

Lee, Eugine, Aviv Madar, Gregory David, et al.. (2013). Inhibition of androgen receptor and β-catenin activity in prostate cancer. Proceedings of the National Academy of Sciences. 110(39). 15710–15715. 87 indexed citations

12.

Guedan, Sònia, Carmine Carpenito, Xi Chen, et al.. (2013). Redirection of TH17 cells with a chimeric antigen receptor containing the ICOS costimulatory domain enhances function, antitumor activity and persistence of TH17 cells (P4350). The Journal of Immunology. 190(Supplement_1). 177.8–177.8. 1 indexed citations

13.

Madar, Aviv, Alex Greenfield, Eric Vanden‐Eijnden, & Richard Bonneau. (2010). DREAM3: Network Inference Using Dynamic Context Likelihood of Relatedness and the Inferelator. PLoS ONE. 5(3). e9803–e9803. 69 indexed citations

14.

Greenfield, Alex, Aviv Madar, Harry Ostrer, & Richard Bonneau. (2010). DREAM4: Combining Genetic and Dynamic Information to Identify Biological Networks and Dynamical Models. PLoS ONE. 5(10). e13397–e13397. 173 indexed citations

15.

Madar, Aviv & Richard Bonneau. (2009). Learning Global Models of Transcriptional Regulatory Networks from Data. Methods in molecular biology. 541. 181–210. 11 indexed citations

16.

Madar, Aviv, Andy Greenfield, Harry Ostrer, Eric Vanden‐Eijnden, & Richard Bonneau. (2009). The inferelator 2.0: A scalable framework for reconstruction of dynamic regulatory network models. PubMed. 2009. 5448–5451. 32 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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