Mati Mann

1.1k total citations
10 papers, 738 citations indexed

About

Mati Mann is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Mati Mann has authored 10 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Immunology. Recurrent topics in Mati Mann's work include MicroRNA in disease regulation (6 papers), Extracellular vesicles in disease (3 papers) and RNA Research and Splicing (3 papers). Mati Mann is often cited by papers focused on MicroRNA in disease regulation (6 papers), Extracellular vesicles in disease (3 papers) and RNA Research and Splicing (3 papers). Mati Mann collaborates with scholars based in United States, Germany and Israel. Mati Mann's co-authors include David Baltimore, Arnav Mehta, Georgi K. Marinov, Jimmy L. Zhao, Kevin Lee, Yvette Garcia-Flores, Benjamin Geiger, Alexander Y. Rudensky, Li‐Fan Lu and Omer Barad and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Mati Mann

10 papers receiving 737 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mati Mann United States	9	489	346	219	93	92	10	738
Jessica Xu United States	5	443 0.9×	485 1.4×	267 1.2×	40 0.4×	62 0.7×	17	763
Rita Fragoso Portugal	13	387 0.8×	231 0.7×	167 0.8×	106 1.1×	126 1.4×	17	654
Thomas B. Huffaker United States	10	446 0.9×	358 1.0×	278 1.3×	28 0.3×	82 0.9×	12	736
Ariel Raybuck United States	10	336 0.7×	259 0.7×	460 2.1×	30 0.3×	160 1.7×	16	832
Lenka Kubiczková Czechia	11	479 1.0×	159 0.5×	107 0.5×	193 2.1×	217 2.4×	17	782
Ashley Weiss Canada	6	183 0.4×	188 0.5×	109 0.5×	64 0.7×	139 1.5×	7	525
Hongting Lu China	14	390 0.8×	267 0.8×	226 1.0×	21 0.2×	151 1.6×	39	752
Lilian Montero Switzerland	6	300 0.6×	213 0.6×	59 0.3×	84 0.9×	75 0.8×	8	557
Charlotte Hellmich United Kingdom	11	320 0.7×	121 0.3×	139 0.6×	180 1.9×	80 0.9×	30	587
Kazue Tsuji‐Takayama Japan	14	331 0.7×	82 0.2×	363 1.7×	62 0.7×	113 1.2×	26	666

Countries citing papers authored by Mati Mann

Since Specialization

Citations

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

Fields of papers citing papers by Mati Mann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mati Mann

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

All Works

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10 of 10 papers shown

Frankiw, Luke, Mati Mann, Guideng Li, Alok V. Joglekar, & David Baltimore. (2019). Alternative splicing coupled with transcript degradation modulates OAS1g antiviral activity. RNA. 26(2). 126–136. 15 indexed citations

Su, Yu‐Lin, Xiuli Wang, Mati Mann, et al.. (2019). Myeloid cell–targeted miR-146a mimic inhibits NF-κB–driven inflammation and leukemia progression in vivo. Blood. 135(3). 167–180. 97 indexed citations

Mann, Mati, Arnav Mehta, Carl G. de Boer, et al.. (2018). Heterogeneous Responses of Hematopoietic Stem Cells to Inflammatory Stimuli Are Altered with Age. Cell Reports. 25(11). 2992–3005.e5. 124 indexed citations

Mann, Mati, Arnav Mehta, Jimmy L. Zhao, et al.. (2017). An NF-κB-microRNA regulatory network tunes macrophage inflammatory responses. Nature Communications. 8(1). 851–851. 206 indexed citations

Mehta, Arnav, Jimmy L. Zhao, Nikita Sinha, et al.. (2015). The MicroRNA-132 and MicroRNA-212 Cluster Regulates Hematopoietic Stem Cell Maintenance and Survival with Age by Buffering FOXO3 Expression. Immunity. 42(6). 1021–1032. 77 indexed citations

Levaot, Noam, et al.. (2015). Osteoclast fusion is initiated by a small subset of RANKL-stimulated monocyte progenitors, which can fuse to RANKL-unstimulated progenitors. Bone. 79. 21–28. 46 indexed citations

Mehta, Arnav, Mati Mann, Jimmy L. Zhao, et al.. (2015). The microRNA-212/132 cluster regulates B cell development by targeting Sox4. The Journal of Cell Biology. 210(7). 2107OIA191–2107OIA191. 3 indexed citations

Mehta, Arnav, Mati Mann, Jimmy L. Zhao, et al.. (2015). The microRNA-212/132 cluster regulates B cell development by targeting Sox4. The Journal of Experimental Medicine. 212(10). 1679–1692. 61 indexed citations

Barad, Omer, Mati Mann, Elik Chapnik, et al.. (2012). Efficiency and specificity in microRNA biogenesis. Nature Structural & Molecular Biology. 19(6). 650–652. 16 indexed citations

10.

Mann, Mati, Omer Barad, Reuven Agami, Benjamin Geiger, & Eran Hornstein. (2010). miRNA-based mechanism for the commitment of multipotent progenitors to a single cellular fate. Proceedings of the National Academy of Sciences. 107(36). 15804–15809. 93 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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