Daniela Cambria

435 citations
16 papers · 321 · h-index 11

Impact in

Papers in

    • Studies on Chitinases and Chitosanases 3
    • Multiple Myeloma Research and Treatments 3
    • Acute Myeloid Leukemia Research 2

Daniela Cambria

15 papers receiving 318 citations

Peers

Daniela Cambria
Comparison fields: 5 of 67
  • Hematology 69
  • Virology 22
  • Immunology 94
  • Neurology 32
  • Genetics 36
Replace Hector Huerga Encabo with:
Hector Huerga Encabo United Kingdom
Hannah C Lewis United States
Sonia Benhamida France
Samia Baloul France
Sohyun Yun South Korea
Stephen Krahling United States
Hiroaki Kaku United States
Carl A. Mitchell United States
Hiroyuki Soga Japan
F. Leoni Italy
Daniela Cambria relative to Hector Huerga Encabo United Kingdom Hector Huerga Encabo's profile →
Citations per field
00.5×5.5×
Hector Huerga Encabo · 1×
Citations per year

Countries citing papers authored by Daniela Cambria

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Cambria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201756
2 201642
3 202042
4 202039
5 202029
6 201727
7 201522
8 201917
9 202313
10 201713
11 201610
12 20235
13 20234
14 20251
15 20171
16 20210

About Daniela Cambria

Daniela Cambria is a scholar working on Molecular Biology, Hematology, Infectious Diseases, Virology and Oncology, having authored 16 papers that have together received 321 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), Studies on Chitinases and Chitosanases (3 papers), Multiple Myeloma Research and Treatments (3 papers), Acute Myeloid Leukemia Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), HIV/AIDS drug development and treatment (2 papers), Invertebrate Immune Response Mechanisms (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Hematology (69 citations), Virology (22 citations), Immunology (94 citations), Neurology (32 citations) and Genetics (36 citations). Daniela Cambria has collaborated with scholars based in Italy and United States. Frequent co-authors include Lucia Malaguarnera, Michelino Di Rosa, Anna Longo, Maria Concetta Palumbo, Francesco Di Raimondo, Francesca Lazzara, Daniele Tibullo, Cristina Sanfilippo, Alessandra Romano and Giuseppe A. Palumbo. Their work appears in journals such as Frontiers in Oncology, Biomarker Research, Cancer, Scientific Reports and Inflammation 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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