Anna Garuti

2.4k citations
70 papers · 1.6k · h-index 22

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 4
    • Colorectal Cancer Treatments and Studies 5
    • HER2/EGFR in Cancer Research 4

Anna Garuti

69 papers receiving 1.5k citations

Peers

Anna Garuti
Comparison fields: 5 of 100
  • Geriatrics and Gerontology 80
  • Hematology 182
  • Oncology 421
  • Cancer Research 232
  • Physiology 64
Replace Inge Tinhofer with:
Inge Tinhofer Austria
Angelina V. Vaseva United States
Taro Hitosugi United States
Polina Iakova United States
Mathias T. Rosenfeldt Germany
Md Kamrul Hasan United States
Kwang Woon Kim United States
Szabolcs Fátrai Netherlands
Hitoshi Takagi Japan
Anna Garuti relative to Inge Tinhofer Austria Inge Tinhofer's profile →
Citations per field
00.5×
Inge Tinhofer · 1×
Citations per year

Countries citing papers authored by Anna Garuti

Since Specialization
Citations

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

Fields of papers citing papers by Anna Garuti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009134
2 2016124
3 2004103
4 200995
5 201175
6 201671
7 200671
8 200660
9 200944
10 201436
11 200835
12 200834
13 201234
14 201032
15 200332
16 202129
17 201628
18 200527
19 200426
20 201026

About Anna Garuti

Anna Garuti is a scholar working on Molecular Biology, Oncology, Cancer Research, Hematology and Genetics, having authored 70 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (12 papers), Chronic Lymphocytic Leukemia Research (10 papers), Cancer Genomics and Diagnostics (9 papers), Colorectal Cancer Treatments and Studies (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Eosinophilic Disorders and Syndromes (5 papers), HER2/EGFR in Cancer Research (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Geriatrics and Gerontology (80 citations), Hematology (182 citations), Oncology (421 citations), Cancer Research (232 citations) and Physiology (64 citations). Anna Garuti has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Alberto Ballestrero, Alessio Nencioni, Gabriella Cirmena, Franco Patrone, Ilaria Rocco, Gabriele Zoppoli, Alessandro Poggi, Marco Gobbi, Silvia Catellani and Maria Raffaella Zocchi. Their work appears in journals such as Blood, PLoS ONE, Current Cancer Drug Targets, Annals of Oncology and Cancer Research.

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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