Erika Messina

15 papers receiving 223 citations

Peers

Erika Messina
Comparison fields: 5 of 32
  • Endocrinology, Diabetes and Metabolism 98
  • Epidemiology 102
  • Genetics 29
  • Neurology 35
  • Oncology 43
Replace Aleksandra Jawiarczyk-Przybyłowska with:
Aleksandra Jawiarczyk-Przybyłowska Poland
Katariina Korhonen Finland
Yixin Chen United States
Andrea Daniela Maier Denmark
Maria Stelmachowska‐Banaś Poland
Sunil Jeswani United States
Rajan Palui India
Matthieu Ruffin Switzerland
Laura Chinezu Romania
Muriel Cogne France
Erika Messina relative to Aleksandra Jawiarczyk-Przybyłowska Poland Aleksandra Jawiarczyk-Przybyłowska's profile →
Citations per field
00.5×3.2×
Aleksandra Jawiarczyk-Przybyłowska · 1×
Citations per year

Countries citing papers authored by Erika Messina

Since Specialization
Citations

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

Fields of papers citing papers by Erika Messina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201943
2 202028
3 202124
4 202024
5 201922
6 201819
7 201815
8 201615
9 201512
10 20168
11 20166
12 20225
13 20183
14 20172
15
On the reliability of RAST in childhood food allergy.
19842
16 20250
17 20190

About Erika Messina

Erika Messina is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Surgery, Genetics and Oncology, having authored 17 papers that have together received 228 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (7 papers), Pituitary Gland Disorders and Treatments (6 papers), Adrenal and Paraganglionic Tumors (4 papers), Glioma Diagnosis and Treatment (3 papers), Lung Cancer Research Studies (2 papers), Neuroblastoma Research and Treatments (2 papers), Circadian rhythm and melatonin (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (98 citations), Epidemiology (102 citations), Genetics (29 citations), Neurology (35 citations) and Oncology (43 citations). Erika Messina has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Antongiulio Faggiano, Salvatore Cannavò, Francesco Ferraù, Marco Gallo, Filippo Flavio Angileri, Francesca Granata, Giovanna Muscogiuri, Luigi Barrea, Angela Alibrandi and Annamaria Colao. Their work appears in journals such as Frontiers in Endocrinology, Endocrine Connections, Recent Patents on Anti-Cancer Drug Discovery, Critical Reviews in Food Science and Nutrition and Neuropathology.

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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