Daniel Mörlein

2.4k total citations
67 papers, 1.7k citations indexed

About

Daniel Mörlein is a scholar working on Animal Science and Zoology, Food Science and Sensory Systems. According to data from OpenAlex, Daniel Mörlein has authored 67 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Animal Science and Zoology, 20 papers in Food Science and 15 papers in Sensory Systems. Recurrent topics in Daniel Mörlein's work include Meat and Animal Product Quality (42 papers), Animal Nutrition and Physiology (18 papers) and Sensory Analysis and Statistical Methods (15 papers). Daniel Mörlein is often cited by papers focused on Meat and Animal Product Quality (42 papers), Animal Nutrition and Physiology (18 papers) and Sensory Analysis and Statistical Methods (15 papers). Daniel Mörlein collaborates with scholars based in Germany, Spain and Belgium. Daniel Mörlein's co-authors include Brianne A. Altmann, Lisa Meier-Dinkel, M. Wicke, Stephanie Grahl, Micha Strack, Jan Gertheiss, Elke Pawelzik, Marco Ciulu, Ernst Tholen and Carmen Neumann and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

Daniel Mörlein

63 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Mörlein Germany 27 844 542 252 248 246 67 1.7k
Benjamin W.B. Holman Australia 28 2.2k 2.6× 797 1.5× 594 2.4× 245 1.0× 643 2.6× 122 3.3k
Enrico Novelli Italy 30 1.1k 1.3× 801 1.5× 821 3.3× 305 1.2× 269 1.1× 112 2.4k
Eleni Kasapidou Greece 11 1.8k 2.2× 391 0.7× 319 1.3× 126 0.5× 127 0.5× 35 2.4k
R. Marino Italy 31 1.4k 1.7× 872 1.6× 650 2.6× 323 1.3× 154 0.6× 109 2.8k
Ruth M. Hamill Ireland 34 1.8k 2.1× 842 1.6× 762 3.0× 194 0.8× 171 0.7× 93 2.8k
M.T. Dı́az Spain 27 1.7k 2.0× 584 1.1× 240 1.0× 137 0.6× 111 0.5× 60 2.4k
M. Juárez Canada 25 1.7k 2.0× 345 0.6× 360 1.4× 87 0.4× 312 1.3× 138 2.3k
Daren P. Cornforth United States 29 1.9k 2.3× 855 1.6× 439 1.7× 185 0.7× 436 1.8× 74 2.9k
Young-Hwa Hwang South Korea 27 2.0k 2.3× 911 1.7× 650 2.6× 203 0.8× 279 1.1× 83 2.8k
José Sánchez del Pulgar Italy 19 566 0.7× 361 0.7× 258 1.0× 103 0.4× 344 1.4× 40 1.0k

Countries citing papers authored by Daniel Mörlein

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mörlein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Mörlein

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

All Works

20 of 20 papers shown
1.
Munawar, Agus Arip, et al.. (2024). Prediction accuracy of near infrared spectroscopy coupled with adaptive machine learning methods for simultaneous determination of chlorogenic acid and caffeine on intact coffee beans. Case Studies in Chemical and Environmental Engineering. 10. 100913–100913. 7 indexed citations
2.
Strack, Micha, et al.. (2024). Enhancing agro-biodiversity in chicken: a sensory comparison of broths from German local chicken breeds and their crossbreeds. Poultry Science. 103(6). 103683–103683. 2 indexed citations
3.
4.
Altmann, Brianne A., et al.. (2023). Consumer preferences for the color of unprocessed animal foods. Journal of Food Science. 88(3). 909–925. 30 indexed citations
5.
Mörlein, Daniel, et al.. (2023). A review of dairy production and utilization in Ghana and Benin. SHILAP Revista de lepidopterología. 3(1). 6 indexed citations
6.
Omarini, Alejandra, et al.. (2022). Screening of fungi from the phylum Basidiomycota for degradation of boar taint aroma compounds. European Food Research and Technology. 248(9). 2291–2301. 1 indexed citations
7.
Ciulu, Marco, et al.. (2022). Feeding green: Spirulina ( Arthrospira platensis ) induced changes in production performance and quality of salmonid species. Aquaculture Research. 53(12). 4276–4287. 6 indexed citations
8.
Zomeño, Cristina, M. Gispert, Marjeta Čandek‐Potokar, Daniel Mörlein, & Maria Font‐i‐Furnols. (2022). A matter of body weight and sex type: Pig carcass chemical composition and pork quality. Meat Science. 197. 109077–109077. 15 indexed citations
9.
Ciulu, Marco, et al.. (2021). Early Immunocastration of Pigs: From Farming to Meat Quality. Animals. 11(2). 298–298. 5 indexed citations
10.
11.
Škrlep, Martin, Igor Tomašević, Daniel Mörlein, et al.. (2020). The Use of Pork from Entire Male and Immunocastrated Pigs for Meat Products—An Overview with Recommendations. Animals. 10(10). 1754–1754. 41 indexed citations
12.
Liu, Xiaoye, et al.. (2017). Fatty acid composition and its association with chemical and sensory analysis of boar taint. Food Chemistry. 231. 301–308. 16 indexed citations
13.
Meier-Dinkel, Lisa, et al.. (2016). Consumers' perception and acceptance of boiled and fermented sausages from strongly boar tainted meat. Meat Science. 118. 34–42. 15 indexed citations
14.
Munawar, Agus Arip, et al.. (2013). Rapid and non-destructive prediction of mango sweetness and acidity using near infrared spectroscopy. 219–222. 20 indexed citations
15.
Mörlein, Daniel, et al.. (2013). Learning to smell: Repeated exposure increases sensitivity to androstenone, a major component of boar taint. Meat Science. 94(4). 425–431. 28 indexed citations
16.
Meier-Dinkel, Lisa, Ahmad Reza Sharifi, Ernst Tholen, et al.. (2013). Consumer acceptance of fermented sausages made from boars is not distracted by respective information. Meat Science. 94(4). 468–473. 18 indexed citations
17.
18.
Brand, Sebastian, et al.. (2010). Ultrasound velocity and attenuation of porcine soft tissues with respect to structure and composition: II. Skin and backfat. Meat Science. 88(1). 67–74. 29 indexed citations
19.
Mörlein, Daniel, et al.. (2009). Possibilities of 'on-farm conservation' of the old and endangered turkey breed 'old-fashioned bronce turkey' with respect to fattening performance and meat quality in comparison to the Kelly hybrid turkey 'broad breast bronce' (BBB).. Archiv für Geflügelkunde. 73(4). 275–284. 2 indexed citations
20.

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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Breakdown of academic impact, for papers by Benjamin W.B. Holman Breakdown of academic impact, for papers by Enrico Novelli Breakdown of academic impact, for papers by Eleni Kasapidou Breakdown of academic impact, for papers by R. Marino Breakdown of academic impact, for papers by Ruth M. Hamill Breakdown of academic impact, for papers by M.T. Dı́az Breakdown of academic impact, for papers by M. Juárez Breakdown of academic impact, for papers by Daren P. Cornforth Breakdown of academic impact, for papers by Young-Hwa Hwang Breakdown of academic impact, for papers by José Sánchez del Pulgar
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2026