Asaf Madi

8.4k total citations · 2 hit papers
42 papers, 2.8k citations indexed

About

Asaf Madi is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Asaf Madi has authored 42 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 14 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Asaf Madi's work include Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (15 papers) and Immunotherapy and Immune Responses (11 papers). Asaf Madi is often cited by papers focused on Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (15 papers) and Immunotherapy and Immune Responses (11 papers). Asaf Madi collaborates with scholars based in Israel, United States and United Kingdom. Asaf Madi's co-authors include Vijay K. Kuchroo, Eshel Ben‐Jacob, Dror Y. Kenett, Gitit Gur-Gershgoren, Ana C. Anderson, Irun R. Cohen, Michele Tumminello, Rosario N. Mantegna, Aviv Regev and Sharron Bransburg‐Zabary and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Asaf Madi

42 papers receiving 2.7k citations

Hit Papers

Checkpoint Blockade Immunotherapy Induces Dynamic Changes... 2019 2026 2021 2023 2019 2022 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Asaf Madi Israel 27 1.5k 880 658 293 200 42 2.8k
Kara L. Davis United States 21 1.4k 1.0× 1.0k 1.2× 2.6k 4.0× 22 0.1× 210 1.1× 74 4.4k
Clarence Lee United States 22 508 0.3× 498 0.6× 3.6k 5.5× 37 0.1× 277 1.4× 44 5.4k
Immanuel Kwok Singapore 8 1.1k 0.8× 411 0.5× 1.9k 3.0× 11 0.0× 138 0.7× 12 3.5k
Yongzhi Wang China 34 563 0.4× 383 0.4× 2.1k 3.1× 15 0.1× 88 0.4× 138 4.0k
Jean Wang Canada 38 1.8k 1.2× 1.7k 1.9× 3.4k 5.2× 83 0.3× 211 1.1× 109 7.5k
Sol Efroni Israel 27 628 0.4× 371 0.4× 1.7k 2.6× 10 0.0× 80 0.4× 76 2.8k
Matti Nykter Finland 39 456 0.3× 988 1.1× 3.0k 4.5× 8 0.0× 106 0.5× 152 5.6k
Raluca Eftimie United Kingdom 20 337 0.2× 407 0.5× 817 1.2× 13 0.0× 139 0.7× 81 1.9k
Jenny C. Taylor United Kingdom 29 271 0.2× 464 0.5× 1.7k 2.6× 94 0.3× 72 0.4× 96 4.0k
Lihua Zhang China 8 1.5k 1.0× 852 1.0× 2.4k 3.7× 11 0.0× 93 0.5× 12 4.2k

Countries citing papers authored by Asaf Madi

Since Specialization
Citations

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

Fields of papers citing papers by Asaf Madi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asaf Madi

This figure shows the co-authorship network connecting the top 25 collaborators of Asaf Madi. A scholar is included among the top collaborators of Asaf Madi 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 Asaf Madi. Asaf Madi 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
2.
Yeini, Eilam, Shai Dulberg, Ayelet Kaminitz, et al.. (2024). interFLOW: maximum flow framework for the identification of factors mediating the signaling convergence of multiple receptors. npj Systems Biology and Applications. 10(1). 66–66. 2 indexed citations
3.
Tooley, Katherine, S. Harsha Krovi, Davide Mangani, et al.. (2024). Pan-cancer mapping of single CD8+ T cell profiles reveals a TCF1:CXCR6 axis regulating CD28 co-stimulation and anti-tumor immunity. Cell Reports Medicine. 5(7). 101640–101640. 9 indexed citations
4.
Schnell, Alexandra, Linglin Huang, Vasundhara Singh, et al.. (2023). Targeting PGLYRP1 promotes antitumor immunity while inhibiting autoimmune neuroinflammation. Nature Immunology. 24(11). 1908–1920. 12 indexed citations
5.
Sumida, Tomokazu S., Shai Dulberg, Jonas C. Schupp, et al.. (2022). Type I interferon transcriptional network regulates expression of coinhibitory receptors in human T cells. Nature Immunology. 23(4). 632–642. 70 indexed citations
6.
Nahmad, Alessio D., Eli Reuveni, Tamar Tenne, et al.. (2022). Frequent aneuploidy in primary human T cells after CRISPR–Cas9 cleavage. Nature Biotechnology. 40(12). 1807–1813. 122 indexed citations breakdown →
7.
Holla, Prasida, Brian Dizon, Abhijit A. Ambegaonkar, et al.. (2021). Shared transcriptional profiles of atypical B cells suggest common drivers of expansion and function in malaria, HIV, and autoimmunity. Science Advances. 7(22). 83 indexed citations
8.
Yeini, Eilam, Paula Ofek, Sabina Pozzi, et al.. (2021). P-selectin axis plays a key role in microglia immunophenotype and glioblastoma progression. Nature Communications. 12(1). 1912–1912. 56 indexed citations
9.
Shani, Ophir, Yael Raz, Lea Monteran, et al.. (2021). Evolution of fibroblasts in the lung metastatic microenvironment is driven by stage-specific transcriptional plasticity. eLife. 10. 26 indexed citations
10.
Acharya, Nandini, Asaf Madi, Huiyuan Zhang, et al.. (2020). Endogenous Glucocorticoid Signaling Regulates CD8+ T Cell Differentiation and Development of Dysfunction in the Tumor Microenvironment. Immunity. 53(3). 658–671.e6. 147 indexed citations
11.
Xiao, Sheng, Lloyd Bod, Nathalie Pochet, et al.. (2020). Checkpoint Receptor TIGIT Expressed on Tim-1+ B Cells Regulates Tissue Inflammation. Cell Reports. 32(2). 107892–107892. 46 indexed citations
12.
Kurtuluş, Sema, Asaf Madi, Giulia Escobar, et al.. (2019). Checkpoint Blockade Immunotherapy Induces Dynamic Changes in PD-1−CD8+ Tumor-Infiltrating T Cells. Immunity. 50(1). 181–194.e6. 401 indexed citations breakdown →
13.
Wu, Chuan, Zuojia Chen, Valérie Dardalhon, et al.. (2017). The transcription factor musculin promotes the unidirectional development of peripheral Treg cells by suppressing the TH2 transcriptional program. Nature Immunology. 18(3). 344–353. 48 indexed citations
14.
Karwacz, Katarzyna, Emily R. Miraldi, Maria Pokrovskii, et al.. (2017). Critical role of IRF1 and BATF in forming chromatin landscape during type 1 regulatory cell differentiation. Nature Immunology. 18(4). 412–421. 80 indexed citations
15.
Thomas, Niclas, Katharine Best, Shlomit Reich-Zeliger, et al.. (2014). Tracking global changes induced in the CD4 T-cell receptor repertoire by immunization with a complex antigen using short stretches of CDR3 protein sequence. Bioinformatics. 30(22). 3181–3188. 70 indexed citations
16.
Madi, Asaf, Sharron Bransburg‐Zabary, Dror Y. Kenett, Eshel Ben‐Jacob, & Irun R. Cohen. (2012). The Natural Autoantibody Repertoire in Newborns and Adults. Advances in experimental medicine and biology. 750. 198–212. 27 indexed citations
17.
Madi, Asaf, Dror Y. Kenett, Sharron Bransburg‐Zabary, et al.. (2011). Network Theory Analysis of Antibody-Antigen Reactivity Data: The Immune Trees at Birth and Adulthood. PLoS ONE. 6(3). e17445–e17445. 31 indexed citations
18.
Kenett, Dror Y., Yoash Shapira, Asaf Madi, et al.. (2011). Index Cohesive Force Analysis Reveals That the US Market Became Prone to Systemic Collapses Since 2002. PLoS ONE. 6(4). e19378–e19378. 60 indexed citations
19.
Kenett, Dror Y., Yoash Shapira, Asaf Madi, et al.. (2010). Dynamics of Stock Market Correlations. RePEc: Research Papers in Economics. 4(3). 330–340. 23 indexed citations
20.
Madi, Asaf, et al.. (2008). Genome Holography: Deciphering Function-Form Motifs from Gene Expression Data. PLoS ONE. 3(7). e2708–e2708. 17 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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