Katia Todoerti

4.6k citations
104 papers · 2.5k indexed · h-index 33
Topics
Multiple Myeloma Research and Treatments (51 papers)Protein Degradation and Inhibitors (19 papers)Chronic Lymphocytic Leukemia Research (14 papers)

In The Last Decade

Katia Todoerti

104 papers receiving 2.5k citations

Peers

Katia Todoerti
Comparison fields: 5 of 92
  • Molecular Biology 1.8k
  • Hematology 944
  • Cancer Research 825
  • Oncology 594
  • Pathology and Forensic Medicine 429
Replace Luca Agnelli with:
Luca Agnelli Italy
Jianguo Tao United States
Karin D. Berg United States
María D. Odero Spain
Fumihiko Hayakawa Japan
Patricia Maiso United States
Keita Kirito Japan
Outi Kilpivaara Finland
Yuichi Ishikawa Japan
Artur Słupianek United States
Katia Todoerti relative to Luca Agnelli Italy Luca Agnelli's profile →
Citations per field
00.5×1.5×
Luca Agnelli · 1×
Citations per year

Countries citing papers authored by Katia Todoerti

Since Specialization
Citations

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

Fields of papers citing papers by Katia Todoerti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katia Todoerti

This figure shows the co-authorship network connecting the top 25 collaborators of Katia Todoerti. A scholar is included among the top collaborators of Katia Todoerti 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 Katia Todoerti. Katia Todoerti 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
#WorkIndexed citations
1 3
2 11
3 12
4 40
5 6
6 9
7 16
8 18
9 37
10 11
11 44
12 38
13 10
14 75
15 5
16 33
17 17
18 3
19
Transcription repression activity is associated with the type I isoform of the MMSET gene involved in the t(4;14) in multiple myeloma
1
20 20

About Katia Todoerti

Katia Todoerti is a scholar working on Hematology, Cancer Research and Genetics, having authored 104 papers that have together received 2.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (51 papers), Protein Degradation and Inhibitors (19 papers) and Chronic Lymphocytic Leukemia Research (14 papers). The work is most often cited by research in Hematology (944 citations), Cancer Research (825 citations) and Genetics (355 citations). Katia Todoerti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Antonino Neri, Luca Agnelli, Marta Lionetti, Sonia Fabris, Laura Mosca, Giorgio La Nasa, Domenica Ronchetti, Luigia Lombardi, Pierfrancesco Tassone and Fortunato Morabito. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and Blood.

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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