Eugen Moța

36 total papers · 1.4k total citations
21 papers, 333 citations indexed

About

Eugen Moța is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology. According to data from OpenAlex, Eugen Moța has authored 21 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Eugen Moța's work include Diabetes Management and Research (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Eugen Moța is often cited by papers focused on Diabetes Management and Research (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). Eugen Moța collaborates with scholars based in Romania, Brazil and Ghana. Eugen Moța's co-authors include Maria Moța, Rui Toledo Barros, João Egídio Romão, Domenico Penna, Simona Georgiana Popa, Luís Balthazar Saldanha, Romulus Timar, Cristian Serafinceanu, Adina Mitrea and D Cheţa and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Nutrients.

In The Last Decade

Eugen Moța

19 papers receiving 324 citations

Author Peers

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

Author Last Decade Papers Cites
Eugen Moța 130 85 65 49 45 21 333
Elena Izkhakov 173 1.3× 48 0.6× 62 1.0× 37 0.8× 51 1.1× 31 374
Harn-Shen Chen 217 1.7× 46 0.5× 69 1.1× 51 1.0× 70 1.6× 30 390
Anna C. van der Burgh 62 0.5× 58 0.7× 59 0.9× 29 0.6× 36 0.8× 19 326
David M. Klachko 111 0.9× 98 1.2× 43 0.7× 69 1.4× 44 1.0× 21 388
Lei He 70 0.5× 68 0.8× 68 1.0× 123 2.5× 41 0.9× 17 402
Cleto Álvarez-Aguilar 60 0.5× 51 0.6× 87 1.3× 49 1.0× 32 0.7× 18 331
Edoardo Biancalana 118 0.9× 87 1.0× 26 0.4× 63 1.3× 45 1.0× 24 298
JH Barth 87 0.7× 57 0.7× 67 1.0× 24 0.5× 23 0.5× 19 333
Kyeong Hye Park 166 1.3× 52 0.6× 26 0.4× 80 1.6× 86 1.9× 21 374
Ernesto Rodríguez-Ayala 54 0.4× 83 1.0× 50 0.8× 52 1.1× 63 1.4× 29 366

Countries citing papers authored by Eugen Moța

Since Specialization
Citations

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

Fields of papers citing papers by Eugen Moța

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugen Moța

This figure shows the co-authorship network connecting the top 25 collaborators of Eugen Moța. A scholar is included among the top collaborators of Eugen Moța 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 Eugen Moța. Eugen Moța 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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