R. Eckert

1.0k citations
56 papers · 624 · h-index 15

Impact in

Papers in

R. Eckert

52 papers receiving 594 citations

Peers

R. Eckert
Comparison fields: 5 of 99
  • Animal Science and Zoology 154
  • Endocrine and Autonomic Systems 51
  • Genetics 139
  • Small Animals 34
  • Cancer Research 53
Replace Ulrika Ottander with:
Ulrika Ottander Sweden
Karina Gutierrez Canada
Ida M. Washington United States
L. Munyakazi United States
Stefanie Haas Germany
Angela E. Zou United States
Miao Yang China
Joshua D.G. Leach United Kingdom
Antje Wiede Germany
Amy Moore United States
R. Eckert relative to Ulrika Ottander Sweden Ulrika Ottander's profile →
Citations per field
00.5×11×
Ulrika Ottander · 1×
Citations per year

Countries citing papers authored by R. Eckert

Since Specialization
Citations

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

Fields of papers citing papers by R. Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201453
2 201044
3 201343
4 200541
5 201338
6 201034
7 201034
8 200429
9 201824
10 198823
11 201923
12 201722
13 198720
14 201517
15 201314
16 201514
17 200414
18 201113
19 198711
20 201911

About R. Eckert

R. Eckert is a scholar working on Animal Science and Zoology, Genetics, Small Animals, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 624 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (14 papers), Genetic and phenotypic traits in livestock (12 papers), Animal Nutrition and Physiology (8 papers), Animal Behavior and Welfare Studies (6 papers), Regulation of Appetite and Obesity (6 papers), Lung Cancer Treatments and Mutations (4 papers), Agricultural economics and policies (3 papers) and Education and Technology Integration (3 papers). The work is most often cited by research in Animal Science and Zoology (154 citations), Endocrine and Autonomic Systems (51 citations), Genetics (139 citations), Small Animals (34 citations) and Cancer Research (53 citations). R. Eckert has collaborated with scholars based in Poland, Germany and United States. Frequent co-authors include Katarzyna Ropka‐Molik, Katarzyna Piórkowska, Maria Oczkowicz, Martin Faehling, M. Różycki, M. Tyra, Kacper Żukowski, M. Kamyczek, Mariusz Mackowski and Lewis Polsgrove. Their work appears in journals such as Annals of Animal Science, Livestock Science, Oncology, Journal of Clinical Oncology and Animal Genetics.

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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