Daniela Palmieri

773 citations
24 papers · 628 · h-index 16

Impact in

Papers in

Daniela Palmieri

24 papers receiving 613 citations

Peers

Daniela Palmieri
Comparison fields: 5 of 94
  • Biochemistry 51
  • Immunology and Allergy 41
  • Cancer Research 88
  • Immunology 84
  • Oncology 92
Replace Kamalakar C. Nerusu with:
Kamalakar C. Nerusu United States
Erik R. Olson United States
Shuya Zhang China
Su Jin Kim South Korea
Xiaohong Xu China
Saiko Kazuno Japan
Hee-Jun Na South Korea
Guoying Zhang China
Michael K. Jones United States
Caroline Kamaté France
Daniela Palmieri relative to Kamalakar C. Nerusu United States Kamalakar C. Nerusu's profile →
Citations per field
00.5×4.3×
Kamalakar C. Nerusu · 1×
Citations per year

Countries citing papers authored by Daniela Palmieri

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Palmieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201377
2 201160
3 201250
4 201335
5 200035
6 201335
7 200835
8 201229
9 200829
10 201629
11 201228
12 201125
13 201023
14 200823
15 200417
16 200316
17 201515
18 201512
19 201412
20 200912

About Daniela Palmieri

Daniela Palmieri is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Immunology, Cancer Research and Oncology, having authored 24 papers that have together received 628 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (4 papers), Immune cells in cancer (4 papers), Aortic aneurysm repair treatments (4 papers), Phytochemicals and Antioxidant Activities (2 papers), Natural product bioactivities and synthesis (2 papers), Antioxidant Activity and Oxidative Stress (2 papers), Estrogen and related hormone effects (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Biochemistry (51 citations), Immunology and Allergy (41 citations), Cancer Research (88 citations), Immunology (84 citations) and Oncology (92 citations). Daniela Palmieri has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Domenico Palombo, Patrizia Perego, Paola Manduca, Giovanni Spinella, Bianca Pane, E.C. McCook, Hendrik W. van Deventer, Qing Wu, Jonathan S. Serody and G Ghigliotti. Their work appears in journals such as Journal of Biological Chemistry, Microvascular Research, Molecular Biology Reports, The Journal of Immunology and Molecular and Cellular Biochemistry.

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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