Maria Nocera

1.2k total citations
9 papers, 857 citations indexed

About

Maria Nocera is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology. According to data from OpenAlex, Maria Nocera has authored 9 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Maria Nocera's work include Thyroid Disorders and Treatments (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Neuroendocrine Tumor Research Advances (3 papers). Maria Nocera is often cited by papers focused on Thyroid Disorders and Treatments (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Neuroendocrine Tumor Research Advances (3 papers). Maria Nocera collaborates with scholars based in Italy and France. Maria Nocera's co-authors include Sébastiano Filetti, Martin Schlumberger, Emiliano A. Palmieri, Luigi Saccà, Francesco Perticone, Bernadette Biondi, Sergio Fazio, Giuseppe Costante, Jean‐Michel Bidart and Umberto Crocetti and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, British Journal of Cancer and Thyroid.

In The Last Decade

Maria Nocera

9 papers receiving 828 citations

Peers

Maria Nocera
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 714
  • Surgery 204
  • Molecular Biology 174
  • Epidemiology 161
  • Oncology 96
Replace Z Límanová with:
Z Límanová Czechia
João Anselmo Portugal
Michèle d’Herbomez France
Christian Nasr United States
Jean‐Louis Peix France
Eduardo Pusiol Argentina
Michael Fahie‐Wilson United Kingdom
Cleber Camacho Brazil
Ji Hun Choi South Korea
M Takeuchi United States
Z Límanová Czechia View profile →
Citations per field, relative to Maria Nocera
Maria Nocera · 1×
Citations per year, relative to Maria Nocera
Maria Nocera · 1×

Countries citing papers authored by Maria Nocera

Since Specialization
Citations

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

Fields of papers citing papers by Maria Nocera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Nocera

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Nocera. A scholar is included among the top collaborators of Maria Nocera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maria Nocera. Maria Nocera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 248
2 13
3 36
4 40
5 87
6 51
7 257
8 101
9 24

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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