Mati Mann

1.1k citations
10 papers · 738 indexed · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Extracellular vesicles in disease 3
    • RNA Research and Splicing 3
    • RNA Interference and Gene Delivery 2
    • Bone Metabolism and Diseases 2
    • Circular RNAs in diseases 2
    • MicroRNA in disease regulation 6

Mati Mann

10 papers receiving 737 citations

Peers

Mati Mann
Comparison fields: 5 of 69
  • Cancer Research 346
  • Immunology 219
  • Hematology 93
  • Molecular Biology 489
  • Aging 10
Replace Charlotte Hellmich with:
Charlotte Hellmich United Kingdom
Claudia Gemelli Italy
Lilian Montero Switzerland
Rita Fragoso Portugal
Adedayo Hanidu United States
Hidetoshi Tsushima Japan
Deepak Kumar Singh United States
Ashley Weiss Canada
Jessica Xu United States
Kazue Tsuji‐Takayama Japan
Mati Mann relative to Charlotte Hellmich United Kingdom Charlotte Hellmich's profile →
Citations per field
00.5×10×20×33×
Charlotte Hellmich · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mati Mann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mati Mann Line = papers co-authored together Mati Mann links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2017206
2 2018124
3 201997
4 201093
5 201577
6 201561
7 201546
8 201216
9 201915
10 20153

About Mati Mann

Mati Mann is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Genetics, having authored 10 papers that have together received 738 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Extracellular vesicles in disease (3 papers), RNA Research and Splicing (3 papers), RNA Interference and Gene Delivery (2 papers), Bone Metabolism and Diseases (2 papers), Circular RNAs in diseases (2 papers), Immune cells in cancer (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Cancer Research (346 citations), Immunology (219 citations), Hematology (93 citations), Molecular Biology (489 citations) and Aging (10 citations). Mati Mann has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include David Baltimore, Arnav Mehta, Jimmy L. Zhao, Georgi K. Marinov, Kevin Lee, Yvette Garcia-Flores, Benjamin Geiger, Li‐Fan Lu, Alexander Y. Rudensky and Omer Barad. Their work appears in journals such as The Journal of Cell Biology, Nature Structural & Molecular Biology, Cell Reports, Nature Communications and RNA.

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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