Tamara Bittolo

850 citations
12 papers · 231 · h-index 8

Impact in

Papers in

    • Chronic Lymphocytic Leukemia Research 9
    • RNA modifications and cancer 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Advanced biosensing and bioanalysis techniques 1

Tamara Bittolo

10 papers receiving 229 citations

Peers

Tamara Bittolo
Comparison fields: 5 of 64
  • Genetics 59
  • Biological Psychiatry 6
  • Hematology 21
  • Molecular Biology 128
  • Pediatrics, Perinatology and Child Health 35
Replace Vuk Palibrk with:
Vuk Palibrk Serbia
Fadi Saadeh Lebanon
Wendy K. Roberts United States
Aiyin Liao United Kingdom
Μαρία Καραμίτα Greece
Lauryl M. J. Nutter Canada
Victoria Gennaro United States
Xiaodan Ding China
Aleš Dudešek Germany
Faisal Hayat Nazir Sweden
Tamara Bittolo relative to Vuk Palibrk Serbia Vuk Palibrk's profile →
Citations per field
00.5×
Vuk Palibrk · 1×
Citations per year

Countries citing papers authored by Tamara Bittolo

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Bittolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201548
2 201746
3 201644
4 201438
5 202219
6 202013
7 202210
8 20239
9 20233
10 20231
11 20170
12 20150

About Tamara Bittolo

Tamara Bittolo is a scholar working on Genetics, Molecular Biology, Immunology, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 12 papers that have together received 231 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Lymphoma Diagnosis and Treatment (2 papers), RNA modifications and cancer (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Genetics (59 citations), Biological Psychiatry (6 citations), Hematology (21 citations), Molecular Biology (128 citations) and Pediatrics, Perinatology and Child Health (35 citations). Tamara Bittolo has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Gabriele Baj, Riccardo Bomben, Valter Gattei, Antonella Zucchetto, Michele Dal Bo, Erika Tissino, Federico Pozzo, Giovanni Del Poeta, Elena Vendramini and Enrico Tongiorgi. Their work appears in journals such as Cancers, Haematologica, British Journal of Haematology, Scientific Reports and HemaSphere.

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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