R. Eckert

50 papers receiving 536 citations

Peers

R. Eckert
Comparison fields: 5 of 101
  • Animal Science and Zoology 156
  • Endocrine and Autonomic Systems 49
  • Genetics 144
  • Cancer Research 72
  • Small Animals 34
Replace Joshua D.G. Leach with:
Joshua D.G. Leach United Kingdom
Kathleen M. Donnelly United States
James G. Fox United States
Cheng Xiao China
Quan Sun United States
Regina A. Kreisle United States
Sue Yee Tan Singapore
Qianqian Ji China
Kelly A. Pike Canada
Mohammad Saud Alanazi Saudi Arabia
R. Eckert relative to Joshua D.G. Leach United Kingdom Joshua D.G. Leach's profile →
Citations per field
00.5×10×16.3×
Joshua D.G. Leach · 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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201450
2 201043
3 200539
4 201338
5 201033
6 201032
7 200429
8 201923
9 198823
10 201823
11 201723
12 198720
13 201517
14 201314
15 201113
16 200413
17 201911
18 201511
19 201511
20 201810

About R. Eckert

R. Eckert is a scholar working on Animal Science and Zoology, Genetics, Pulmonary and Respiratory Medicine, Oncology and Small Animals, having authored 54 papers that have together received 565 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), Lung Cancer Treatments and Mutations (6 papers), Animal Behavior and Welfare Studies (6 papers), Regulation of Appetite and Obesity (6 papers), Lung Cancer Research Studies (5 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Animal Science and Zoology (156 citations), Endocrine and Autonomic Systems (49 citations), Genetics (144 citations), Cancer Research (72 citations) and Small Animals (34 citations). R. Eckert has collaborated with scholars based in Poland, United States and Germany. Frequent co-authors include Katarzyna Ropka‐Molik, Katarzyna Piórkowska, Maria Oczkowicz, Martin Faehling, M. Różycki, M. Tyra, M. Świtoński, Herbert J. Rieth, Lewis Polsgrove and M. Szydłowski. Their work appears in journals such as Annals of Animal Science, Livestock Science, Teacher Education and Special Education The Journal of the Teacher Education Division of the Council for Exceptional Children, Animal Genetics and Journal of Clinical Oncology.

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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