T. Ettle

769 citations
38 papers · 620 · h-index 15

Impact in

Papers in

T. Ettle

37 papers receiving 581 citations

Peers

T. Ettle
Comparison fields: 5 of 73
  • Animal Science and Zoology 239
  • Hematology 110
  • Agronomy and Crop Science 89
  • Nutrition and Dietetics 32
  • Small Animals 21
Replace B. Janicki with:
B. Janicki Poland
James R. Stouffer United States
María Sol Morales Chile
Norman C. Steele United States
S. N. Dixon United Kingdom
Dora A. Roth‐Maier Germany
Runlian Wang China
Teketay Wassie China
Robert W. Seerley United States
Pengfei Huang China
T. Ettle relative to B. Janicki Poland B. Janicki's profile →
Citations per field
00.5×2×4×6×7.9×
B. Janicki · 1×
Citations per year

Countries citing papers authored by T. Ettle

Since Specialization
Citations

This map shows the geographic impact of T. Ettle'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 T. Ettle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Ettle more than expected).

Fields of papers citing papers by T. Ettle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007153
2 200452
3 200743
4 200833
5 200332
6 201132
7 201028
8 200724
9 202121
10 200320
11 200519
12 200619
13 202019
14 200816
15 200415
16 200413
17
Effects of antimicrobial feed additives on gut microbiology and blood parameters of weaned piglets.
200813
18 200712
19 20018
20 20198

About T. Ettle

T. Ettle is a scholar working on Animal Science and Zoology, Agronomy and Crop Science, Hematology, Nutrition and Dietetics and Plant Science, having authored 38 papers that have together received 620 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (16 papers), Ruminant Nutrition and Digestive Physiology (13 papers), Iron Metabolism and Disorders (5 papers), Trace Elements in Health (2 papers), Meat and Animal Product Quality (2 papers), Animal Nutrition and Health (2 papers), Mycotoxins in Agriculture and Food (1 paper) and Genetically Modified Organisms Research (1 paper). The work is most often cited by research in Animal Science and Zoology (239 citations), Hematology (110 citations), Agronomy and Crop Science (89 citations), Nutrition and Dietetics (32 citations) and Small Animals (21 citations). T. Ettle has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include F. X. Roth, Klaus Schümann, Bernd Elsenhans, Noel W. Solomons, Wilhelm M. Windisch, F. J. Schwarz, P. Schlegel, Karl Schedle, H. Spiekers and Konrad Johann Domig. Their work appears in journals such as Journal of Animal Physiology and Animal Nutrition, Meat Science, Archives of Animal Nutrition, Journal of Animal Science and Toxicology.

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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