Anna Rivolta

468 citations
10 papers · 358 indexed · h-index 9

Impact in

Papers in

Anna Rivolta

9 papers receiving 341 citations

Peers

Anna Rivolta
Comparison fields: 5 of 34
  • Hematology 254
  • Public Health, Environmental and Occupational Health 238
  • Genetics 47
  • Pediatrics, Perinatology and Child Health 47
  • Molecular Biology 133
Replace AJ Carroll with:
AJ Carroll United States
LS Frankel United States
AC Homans United States
AJ Carroll United States
Russell J. Garland United Kingdom
C. Knechtli United Kingdom
Wolf Dieter Ludwig Germany
M Martineau United Kingdom
Sherry Pierce United States
Andrea Inthal Austria
Anna Rivolta relative to AJ Carroll United States AJ Carroll's profile →
Citations per field
00.5×1.5×2.5×
AJ Carroll · 1×
Citations per year

Countries citing papers authored by Anna Rivolta

Since Specialization
Citations

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

Fields of papers citing papers by Anna Rivolta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 200060
2 199931
3 199721
4 199716
5
Infant acute leukemias show the same biased distribution of ALL1 gene breaks as topoisomerase II related secondary acute leukemias.
199792
6 199622
7 199633
8 199621
9
Prognostic relevance of ALL-1 gene rearrangement in infant acute leukemias.
199562
10 19840

About Anna Rivolta

Anna Rivolta is a scholar working on Hematology, Biological Psychiatry, Behavioral Neuroscience, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 10 papers that have together received 358 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (8 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Hematopoietic Stem Cell Transplantation (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers), Cancer therapeutics and mechanisms (1 paper), Gestational Trophoblastic Disease Studies (1 paper) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Hematology (254 citations), Public Health, Environmental and Occupational Health (238 citations), Genetics (47 citations), Pediatrics, Perinatology and Child Health (47 citations) and Molecular Biology (133 citations). Anna Rivolta has collaborated with scholars based in Italy, Israel and Spain. Frequent co-authors include Andrea Biondi, Giuseppe Cimino, Giuseppe Basso, Vincenzo Rossi, Maria Cristina Rapanotti, Loredana Elia, Eli Canaani, Giovanni De Giudici, Mel Greaves and Cathy J. Price. Their work appears in journals such as Leukemia, British Journal of Haematology, Bone Marrow Transplantation, Leukemia Research and Leukemia & lymphoma.

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