Avi Ma’ayan

58.3k total citations · 11 hit papers
186 papers, 29.4k citations indexed

About

Avi Ma’ayan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Avi Ma’ayan has authored 186 papers receiving a total of 29.4k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Molecular Biology, 33 papers in Computational Theory and Mathematics and 15 papers in Genetics. Recurrent topics in Avi Ma’ayan's work include Bioinformatics and Genomic Networks (76 papers), Gene expression and cancer classification (37 papers) and Gene Regulatory Network Analysis (37 papers). Avi Ma’ayan is often cited by papers focused on Bioinformatics and Genomic Networks (76 papers), Gene expression and cancer classification (37 papers) and Gene Regulatory Network Analysis (37 papers). Avi Ma’ayan collaborates with scholars based in United States, United Kingdom and China. Avi Ma’ayan's co-authors include Zichen Wang, Alexander Lachmann, Qiaonan Duan, Neil R. Clark, Kathleen M. Jagodnik, Nicolas Fernandez, Yan Kou, Edward Y. Chen, Sherry L. Jenkins and Maxim V. Kuleshov and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Avi Ma’ayan

183 papers receiving 29.2k citations

Hit Papers

5 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.

Enrichr: a comprehensive gene set enrichment analysis web server 2016 update

2016 6.1k citations Maxim V. Kuleshov, Matthew R. Jones et al. Nucleic Acids Research profile →
Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool

2013 4.6k citations Edward Y. Chen, Yan Kou et al. profile →
Mesenchymal and haematopoietic stem cells form a unique bone marrow niche

2010 2.5k citations Amin R. Mazloom, Avi Ma’ayan et al. profile →
Gene Set Knowledge Discovery with Enrichr

2021 1.7k citations Zhuorui Xie, Maxim V. Kuleshov et al. profile →
Gene-expression profiles and transcriptional regulatory pathways that underlie the identity and diversity of mouse tissue macrophages

2012 1.5k citations Amin R. Mazloom, Avi Ma’ayan et al. profile →
The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins

2016 997 citations Andrew D. Rouillard, Gregory W. Gundersen et al. profile →
Functional atlas of the integrin adhesome

2007 886 citations Avi Ma’ayan, Ravi Iyengar et al. profile →
ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments

2010 677 citations Alexander Lachmann, Huilei Xu et al. Bioinformatics profile →
ChEA3: transcription factor enrichment analysis by orthogonal omics integration

2019 595 citations Alexandra Keenan, Denis Torre et al. Nucleic Acids Research profile →
Minimal Differentiation of Classical Monocytes as They Survey Steady-State Tissues and Transport Antigen to Lymph Nodes

2013 564 citations Qiaonan Duan, Avi Ma’ayan et al. profile →
Massive mining of publicly available RNA-seq data from human and mouse

2018 411 citations Alexander Lachmann, Denis Torre et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Avi Ma’ayan United States	63	16.8k	5.2k	3.6k	3.0k	2.5k	186	29.4k
Samir Hanash United States	86	17.2k 1.0×	4.8k 0.9×	5.2k 1.4×	5.7k 1.9×	2.0k 0.8×	472	28.7k
Yuko Fujiwara United States	71	14.3k 0.9×	3.2k 0.6×	1.9k 0.5×	1.9k 0.6×	2.5k 1.0×	182	21.6k
Bruce J. Aronow United States	79	13.1k 0.8×	3.8k 0.7×	2.9k 0.8×	3.9k 1.3×	2.6k 1.1×	334	23.5k
Wei Li China	78	29.5k 1.8×	3.6k 0.7×	8.1k 2.2×	2.9k 1.0×	4.0k 1.6×	538	38.5k
Gideon Rechavi Israel	80	18.6k 1.1×	2.8k 0.5×	6.0k 1.7×	3.7k 1.2×	2.0k 0.8×	405	27.0k
Gary D. Bader Canada	69	22.9k 1.4×	2.5k 0.5×	4.4k 1.2×	2.5k 0.8×	2.7k 1.1×	211	31.7k
Yifang Hu Australia	19	15.4k 0.9×	4.5k 0.9×	6.2k 1.7×	3.9k 1.3×	1.9k 0.8×	32	26.0k
Christopher Benner United States	54	18.9k 1.1×	5.5k 1.1×	4.5k 1.2×	2.7k 0.9×	2.8k 1.2×	125	28.3k
Steven A. Carr United States	108	31.7k 1.9×	3.5k 0.7×	4.0k 1.1×	5.4k 1.8×	1.9k 0.8×	372	44.4k
D.N. Cooper United Kingdom	90	19.9k 1.2×	3.7k 0.7×	3.0k 0.8×	2.1k 0.7×	10.5k 4.3×	568	34.9k

Countries citing papers authored by Avi Ma’ayan

Since Specialization

Citations

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

Fields of papers citing papers by Avi Ma’ayan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Avi Ma’ayan. 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 Avi Ma’ayan. The network helps show where Avi Ma’ayan may publish in the future.

Co-authorship network of co-authors of Avi Ma’ayan

This figure shows the co-authorship network connecting the top 25 collaborators of Avi Ma’ayan. A scholar is included among the top collaborators of Avi Ma’ayan 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 Avi Ma’ayan. Avi Ma’ayan 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:

20 of 20 papers shown

Marino, Giacomo B., John Erol Evangelista, Daniel Clarke, & Avi Ma’ayan. (2025). L2S2: chemical perturbation and CRISPR KO LINCS L1000 signature search engine. Nucleic Acids Research. 53(W1). W338–W350.

Vinik, Yaron, Avi Maimon, Vinay Dubey, et al.. (2024). Programming a Ferroptosis‐to‐Apoptosis Transition Landscape Revealed Ferroptosis Biomarkers and Repressors for Cancer Therapy. Advanced Science. 11(17). e2307263–e2307263. 28 indexed citations

Vinik, Yaron, Avi Maimon, Vinay Dubey, et al.. (2024). Programming a Ferroptosis‐to‐Apoptosis Transition Landscape Revealed Ferroptosis Biomarkers and Repressors for Cancer Therapy (Adv. Sci. 17/2024). Advanced Science. 11(17). 2 indexed citations

Marino, Giacomo B., et al.. (2023). GeneRanger and TargetRanger: processed gene and protein expression levels across cells and tissues for target discovery. Nucleic Acids Research. 51(W1). W213–W224. 5 indexed citations

Marino, Giacomo B., Zhuorui Xie, Kathleen M. Jagodnik, et al.. (2023). D2H2: diabetes data and hypothesis hub. Bioinformatics Advances. 3(1). vbad178–vbad178. 2 indexed citations

Evangelista, John Erol, Zhuorui Xie, Giacomo B. Marino, et al.. (2023). Enrichr-KG: bridging enrichment analysis across multiple libraries. Nucleic Acids Research. 51(W1). W168–W179. 78 indexed citations

Jenkins, Edmund C., Mrittika Chattopadhyay, Maria Gomez-Jenkins, et al.. (2022). Age alters the oncogenic trajectory toward luminal mammary tumors that activate unfolded proteins responses. Aging Cell. 21(10). e13665–e13665. 4 indexed citations

Piret, Siân E., Yiqing Guo, Ahmed A. Attallah, et al.. (2021). Krüppel-like factor 6–mediated loss of BCAA catabolism contributes to kidney injury in mice and humans. Proceedings of the National Academy of Sciences. 118(23). 48 indexed citations

Eberlein, Jens, Bennett Davenport, Tom Nguyen, et al.. (2020). Chemokine Signatures of Pathogen-Specific T Cells I: Effector T Cells. The Journal of Immunology. 205(8). 2169–2187. 30 indexed citations

10.

Breen, Michael S., Süreyya Özcan, Jordan M. Ramsey, et al.. (2018). Temporal proteomic profiling of postnatal human cortical development. Translational Psychiatry. 8(1). 267–267. 19 indexed citations

11.

Wang, Zichen, Alexander Lachmann, Alexandra Keenan, & Avi Ma’ayan. (2018). L1000FWD: fireworks visualization of drug-induced transcriptomic signatures. Bioinformatics. 34(12). 2150–2152. 114 indexed citations

12.

Jagodnik, Kathleen M., Simon Koplev, Sherry L. Jenkins, et al.. (2017). Developing a framework for digital objects in the Big Data to Knowledge (BD2K) commons: Report from the Commons Framework Pilots workshop. Journal of Biomedical Informatics. 71. 49–57. 22 indexed citations

13.

Kuleshov, Maxim V., Matthew R. Jones, Andrew D. Rouillard, et al.. (2016). Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Research. 44(W1). W90–W97. 6065 indexed citations breakdown →

14.

Scheckel, Claudia, Elodie Drapeau, María A. Frías, et al.. (2016). Regulatory consequences of neuronal ELAV-like protein binding to coding and non-coding RNAs in human brain. eLife. 5. 104 indexed citations

15.

Mallipattu, Sandeep K., Vivette D. D’Agati, Goutham Narla, et al.. (2015). Krüppel-like factor 6 regulates mitochondrial function in the kidney. Journal of Clinical Investigation. 125(3). 1347–1361. 65 indexed citations

16.

Pereira, Carlos‐Filipe, Betty Chang, Jiajing Qiu, et al.. (2013). Induction of a Hemogenic Program in Mouse Fibroblasts. Cell stem cell. 13(2). 205–218. 158 indexed citations

17.

Mazloom, Amin R., Ruth Dannenfelser, Neil R. Clark, et al.. (2011). Recovering Protein-Protein and Domain-Domain Interactions from Aggregation of IP-MS Proteomics of Coregulator Complexes. PLoS Computational Biology. 7(12). e1002319–e1002319. 13 indexed citations

18.

Xiao, Kunhong, Jin‐Peng Sun, Ji‐Hee Kim, et al.. (2010). Global phosphorylation analysis of β-arrestin–mediated signaling downstream of a seven transmembrane receptor (7TMR). Proceedings of the National Academy of Sciences. 107(34). 15299–15304. 164 indexed citations

19.

Lachmann, Alexander, Huilei Xu, Jayanth Krishnan, et al.. (2010). ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments. Bioinformatics. 26(19). 2438–2444. 677 indexed citations breakdown →

20.

Ma’ayan, Avi, et al.. (2008). Ordered cyclic motifs contribute to dynamic stability in biological and engineered networks. Proceedings of the National Academy of Sciences. 105(49). 19235–19240. 40 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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