Florencia Cano

1.9k citations
20 papers · 608 · h-index 15

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Ubiquitin and proteasome pathways
    • RNA Research and Splicing
    • RNA modifications and cancer

Papers in

    • Ubiquitin and proteasome pathways 4
    • Genomics and Chromatin Dynamics 3
    • Peroxisome Proliferator-Activated Receptors 3
    • RNA Interference and Gene Delivery 3
    • Protein Tyrosine Phosphatases 2
    • Immunotherapy and Immune Responses 3

Florencia Cano

20 papers receiving 601 citations

Peers

Florencia Cano
Comparison fields: 5 of 66
  • Immunology 135
  • Molecular Biology 418
  • Hematology 62
  • Cancer Research 68
  • Cell Biology 68
Replace Paola Costanzo with:
Paola Costanzo Italy
Ding-Yen Lin Taiwan
Miranda Kleijn Netherlands
Nicki Gray United Kingdom
Karl J. Mathis United States
Lianfeng Wu China
Ok Sun Bang South Korea
Wen‐Wei Tsai United States
Tapati Maity United States
Xiurong Shi United States
Florencia Cano relative to Paola Costanzo Italy Paola Costanzo's profile →
Citations per field
00.5×1.5×2.2×
Paola Costanzo · 1×
Citations per year

Countries citing papers authored by Florencia Cano

Since Specialization
Citations

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

Fields of papers citing papers by Florencia Cano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2011113
2 201271
3 200556
4 200547
5 201043
6 201541
7 200238
8 201734
9 201220
10 200519
11 200619
12 201818
13 200018
14 201216
15 200715
16 200413
17 200713
18 20049
19 20083
20
Enteric neuronal function and colonic motility in PINK1-/- mice: A model for Parkinson's Disease
20122

About Florencia Cano

Florencia Cano is a scholar working on Molecular Biology, Immunology, Endocrinology, Diabetes and Metabolism, Surgery and Hematology, having authored 20 papers that have together received 608 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Genomics and Chromatin Dynamics (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Immunotherapy and Immune Responses (3 papers), RNA Interference and Gene Delivery (3 papers), Protein Tyrosine Phosphatases (2 papers), Acute Myeloid Leukemia Research (2 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Immunology (135 citations), Molecular Biology (418 citations), Hematology (62 citations), Cancer Research (68 citations) and Cell Biology (68 citations). Florencia Cano has collaborated with scholars based in United Kingdom, Argentina and France. Frequent co-authors include Paul J. Lehner, Jessica M. Boname, Marian L. Burr, Louise H. Boyle, Paula Maloberti, Terence H. Rabbitts, Cristina Paz, Ernesto J. Podestá, Diego Miranda‐Saavedra and Lesley Drynan. Their work appears in journals such as Endocrine Research, The EMBO Journal, Molecular Cancer Therapeutics, European Journal of Biochemistry and Nature Communications.

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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