Daniel Mierliţă

93 total papers · 617 total citations
48 papers, 453 citations indexed

About

Daniel Mierliţă is a scholar working on Animal Science and Zoology, Nutrition and Dietetics and Agronomy and Crop Science. According to data from OpenAlex, Daniel Mierliţă has authored 48 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Animal Science and Zoology, 17 papers in Nutrition and Dietetics and 14 papers in Agronomy and Crop Science. Recurrent topics in Daniel Mierliţă's work include Meat and Animal Product Quality (16 papers), Animal Nutrition and Physiology (16 papers) and Fatty Acid Research and Health (15 papers). Daniel Mierliţă is often cited by papers focused on Meat and Animal Product Quality (16 papers), Animal Nutrition and Physiology (16 papers) and Fatty Acid Research and Health (15 papers). Daniel Mierliţă collaborates with scholars based in Romania, Spain and India. Daniel Mierliţă's co-authors include I. M. Pop, Daniel Simeanu, Claudia Terezia Socol, Simona Vicaş, Alexandru Rusu, Monica Trif, Bruno Ramos‐Molina, Antonio J. Ruiz‐Alcaraz, Alin Cristian Teușdea and María Ángeles Núñez‐Sánchez and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Sustainability.

In The Last Decade

Daniel Mierliţă

44 papers receiving 436 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel Mierliţă 152 125 123 108 72 48 453
G. Kulasek 90 0.6× 128 1.0× 127 1.0× 124 1.1× 99 1.4× 39 543
Ali Kiani 232 1.5× 150 1.2× 83 0.7× 60 0.6× 56 0.8× 45 539
Edyta Kowalczuk-Vasilev 201 1.3× 74 0.6× 133 1.1× 59 0.5× 50 0.7× 58 498
W. W. G. Smart 100 0.7× 95 0.8× 118 1.0× 52 0.5× 32 0.4× 30 426
Bhupinder Singh 59 0.4× 177 1.4× 169 1.4× 64 0.6× 107 1.5× 28 538
Raymond Borchers 82 0.5× 87 0.7× 163 1.3× 79 0.7× 93 1.3× 35 491
Mohammed Hamdy Farouk 76 0.5× 107 0.9× 56 0.5× 49 0.5× 114 1.6× 52 450
A. Campagnoli 81 0.5× 140 1.1× 240 2.0× 50 0.5× 84 1.2× 37 516
Junmei Liu 80 0.5× 67 0.5× 148 1.2× 69 0.6× 157 2.2× 40 477
Maghsoud Besharati 166 1.1× 204 1.6× 113 0.9× 81 0.8× 67 0.9× 52 436

Countries citing papers authored by Daniel Mierliţă

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mierliţă

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Mierliţă

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