Eusebio Chiefari

5.8k citations
95 papers · 4.3k indexed · 2 hit papers · h-index 38

Impact in

Papers in

Eusebio Chiefari

94 papers receiving 4.2k citations

Hit Papers

Gestational diabetes mellitus: an updated overview 2017 · 380 citations
3802012202620162021100200300400

Peers

Eusebio Chiefari
Comparison fields: 5 of 128
  • Obstetrics and Gynecology 726
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Cancer Research 833
  • Molecular Biology 1.8k
  • Physiology 513
Replace Keizo Kanasaki with:
Keizo Kanasaki Japan
Biagio Arcidiacono Italy
Saša Frank Austria
Xiaomei Zhang China
Sven Waßmann Germany
Heinrich Wieland Germany
Sheldon Chen United States
Xīn Gào United States
Sergio Mezzano Chile
Anette Fiebeler Germany
Eusebio Chiefari relative to Keizo Kanasaki Japan Keizo Kanasaki's profile →
Citations per field
00.5×1.5×
Keizo Kanasaki · 1×
Citations per year

Countries citing papers authored by Eusebio Chiefari

Since Specialization
Citations

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

Fields of papers citing papers by Eusebio Chiefari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20241
4 20241
5 202419
6 20222
7 20215
8 2020183
9 201933
10 201938
11 201812
12 201629
13 201631
14 201517
15 20118
16 20096
17 20044
18 200048
19 199962
20 199711

About Eusebio Chiefari

Eusebio Chiefari is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology, Cancer Research, Molecular Biology and Physiology, having authored 95 papers that have together received 4.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (17 papers), Cancer-related molecular mechanisms research (15 papers), Gestational Diabetes Research and Management (15 papers), Pregnancy and preeclampsia studies (13 papers), Metabolism, Diabetes, and Cancer (13 papers), RNA Research and Splicing (13 papers), Genomics and Chromatin Dynamics (12 papers) and Thyroid Disorders and Treatments (12 papers). The work is most often cited by research in Obstetrics and Gynecology (726 citations), Endocrinology, Diabetes and Metabolism (1.2k citations), Cancer Research (833 citations), Molecular Biology (1.8k citations) and Physiology (513 citations). Eusebio Chiefari has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Antonio Brunetti, Daniela Foti, Biagio Arcidiacono, Diego Russo, Sébastiano Filetti, Maria Mirabelli, Stefania Iiritano, Franco Arturi, Francesco Brunetti and Valeria Ventura. Their work appears in journals such as Frontiers in Endocrinology, Scientific Reports, Journal of Clinical Medicine, The Journal of Clinical Endocrinology & Metabolism and International Journal of Environmental Research and Public Health.

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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