Matteo Cereda

2.1k citations
25 papers · 1.4k indexed · 1 hit paper · h-index 15

Impact in

  • Genetics top 2%
    • Neurogenetic and Muscular Disorders Research
  • Neurology top 2%
    • Amyotrophic Lateral Sclerosis Research

Papers in

Matteo Cereda

24 papers receiving 1.4k citations

Hit Papers

Characterizing the RNA targets and position-dependent splicing regulation by TDP-43 2011 · 859 citations
8592011202620162021250500750

Peers

Matteo Cereda
Comparison fields: 5 of 96
  • Genetics 373
  • Neurology 513
  • Cancer Research 263
  • Molecular Biology 1.0k
  • Neurology 59
Replace Chunxing Yang with:
Chunxing Yang United States
Hitomi Tsuiji Japan
K. Rosanna United States
Seth H. Cassel United States
Stephanie C. Huelga United States
Marco Baralle Italy
Tamara Major Serbia
Cristiana Stuani Italy
Violaine Harris United States
Kasey R. Hutt United States
Matteo Cereda relative to Chunxing Yang United States Chunxing Yang's profile →
Citations per field
00.5×1.5×1.9×
Chunxing Yang · 1×
Citations per year

Countries citing papers authored by Matteo Cereda

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Cereda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matteo Cereda, 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 Matteo Cereda Line = papers co-authored together Matteo Cereda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 202325
3 20234
4 202230
5 202221
6 202212
7 201979
8 20193
9 20198
10 201914
11 201749
12 201615
13 201643
14 201315
15 201128
16
Characterizing the RNA targets and position-dependent splicing regulation by TDP-43
Hit paper breakdown →
2011859
17 201119
18 200911
19 200840
20 200630

About Matteo Cereda

Matteo Cereda is a scholar working on Cancer Research, Behavioral Neuroscience, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers), Genomics and Phylogenetic Studies (3 papers), RNA modifications and cancer (3 papers), Sarcoma Diagnosis and Treatment (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Genetics (373 citations), Neurology (513 citations), Cancer Research (263 citations), Molecular Biology (1.0k citations) and Neurology (59 citations). Matteo Cereda has collaborated with scholars based in Italy, United Kingdom and Belarus. Frequent co-authors include Gregor Rot, Jernej Ule, Tibor Hortobágyi, Vera Župunski, Tomaž Curk, Melis Kayikci, Rickie Patani, Blaž Zupan, Agnes L. Nishimura and Boris Rogelj. Their work appears in journals such as Cell Reports, Bioinformatics, International Journal of Molecular Sciences, Genome biology and BMC Evolutionary Biology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026