Daniela Ulliers

1.9k citations
26 papers · 1.4k · h-index 15

Impact in

Papers in

Daniela Ulliers

26 papers receiving 1.4k citations

Peers

Daniela Ulliers
Comparison fields: 5 of 90
  • Public Health, Environmental and Occupational Health 601
  • Genetics 191
  • Immunology 354
  • Orthopedics and Sports Medicine 100
  • Physiology 257
Replace Franca Mannu with:
Franca Mannu Italy
Jeng‐Wei Lu Taiwan
Zaher A. Radi United States
Terunobu Saito Japan
Kodjo Ayi Canada
Nívea F. Luz Brazil
Stanley Yachnin United States
J. P. Marie France
Brian K. Adler United States
Guy Mazué Italy
Daniela Ulliers relative to Franca Mannu Italy Franca Mannu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela Ulliers

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Ulliers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008270
2 1992251
3 1998239
4 1998121
5 200187
6 199581
7 199451
8 201040
9 200139
10 201337
11 199932
12 199827
13 201525
14 200619
15 200116
16 202014
17 201313
18 20218
19 20236
20 20236

About Daniela Ulliers

Daniela Ulliers is a scholar working on Public Health, Environmental and Occupational Health, Immunology, Oncology, Molecular Biology and Physiology, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Malaria Research and Control (16 papers), Mosquito-borne diseases and control (6 papers), Complement system in diseases (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Neonatal Health and Biochemistry (3 papers), Cancer Cells and Metastasis (2 papers) and Parasites and Host Interactions (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (601 citations), Genetics (191 citations), Immunology (354 citations), Orthopedics and Sports Medicine (100 citations) and Physiology (257 citations). Daniela Ulliers has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Giuliana Giribaldi, Paolo Arese, Evelin Schwarzer, Franca Mannu, H. Ginsburg, Franco Turrini, F. Turrini, Marina Cappadoro, Gianpiero Pescarmona and Massimo Alessio. Their work appears in journals such as Infection and Immunity, The Journal of Experimental Medicine, Antioxidants, Blood and British Journal of Haematology.

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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