Doina Piciu

129 total papers · 809 total citations
80 papers, 541 citations indexed

About

Doina Piciu is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Epidemiology. According to data from OpenAlex, Doina Piciu has authored 80 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Oncology and 17 papers in Epidemiology. Recurrent topics in Doina Piciu's work include Thyroid Cancer Diagnosis and Treatment (41 papers), Neuroendocrine Tumor Research Advances (13 papers) and Thyroid and Parathyroid Surgery (9 papers). Doina Piciu is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (41 papers), Neuroendocrine Tumor Research Advances (13 papers) and Thyroid and Parathyroid Surgery (9 papers). Doina Piciu collaborates with scholars based in Romania, Cyprus and Netherlands. Doina Piciu's co-authors include Andra Piciu, Alexandru Irimie, Xanthi Andrianou, Konstantinos C. Makris, Pantelis Charisiadis, Russ Hauser, Rareş Buiga, Eduard-Alexandru Bonci, Alexandru Meşter and Patriciu Achimaș-Cădariu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Doina Piciu

71 papers receiving 533 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Doina Piciu 239 108 101 75 69 80 541
Aleksandar Diklić 426 1.8× 107 1.0× 239 2.4× 46 0.6× 30 0.4× 64 619
Shuai Xue 218 0.9× 70 0.6× 158 1.6× 121 1.6× 17 0.2× 45 505
Paweł Gut 178 0.7× 225 2.1× 72 0.7× 104 1.4× 21 0.3× 74 604
Manuela Agozzino 57 0.2× 95 0.9× 144 1.4× 62 0.8× 34 0.5× 29 497
Lionel M. Lieberman 136 0.6× 52 0.5× 185 1.8× 90 1.2× 16 0.2× 41 552
Mandana Hasanzad 83 0.3× 59 0.5× 78 0.8× 242 3.2× 16 0.2× 70 535
Joon‐Hyop Lee 212 0.9× 79 0.7× 221 2.2× 60 0.8× 8 0.1× 46 496
Iwona Lewy‐Trenda 68 0.3× 99 0.9× 53 0.5× 183 2.4× 35 0.5× 44 454
Fulya Öz Puyan 53 0.2× 87 0.8× 127 1.3× 157 2.1× 21 0.3× 70 562
Mírian Romitti 335 1.4× 105 1.0× 66 0.7× 186 2.5× 14 0.2× 38 572

Countries citing papers authored by Doina Piciu

Since Specialization
Citations

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

Fields of papers citing papers by Doina Piciu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Doina Piciu

This figure shows the co-authorship network connecting the top 25 collaborators of Doina Piciu. A scholar is included among the top collaborators of Doina Piciu 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 Doina Piciu. Doina Piciu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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