T. Schwaiger

843 total citations
7 papers, 641 citations indexed

About

T. Schwaiger is a scholar working on Agronomy and Crop Science, Genetics and Molecular Biology. According to data from OpenAlex, T. Schwaiger has authored 7 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Agronomy and Crop Science, 4 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in T. Schwaiger's work include Ruminant Nutrition and Digestive Physiology (6 papers), Reproductive Physiology in Livestock (4 papers) and Genetic and phenotypic traits in livestock (4 papers). T. Schwaiger is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (6 papers), Reproductive Physiology in Livestock (4 papers) and Genetic and phenotypic traits in livestock (4 papers). T. Schwaiger collaborates with scholars based in Canada and United States. T. Schwaiger's co-authors include K. A. Beauchemin, G.B. Penner, Robert J. Forster, J. J. McKinnon, Tim A. McAllister, Renée M. Petri, Greg B Penner, T.J. DeVries, Marvin H. Braun and Steve F. Perry and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Journal of Experimental Biology.

In The Last Decade

T. Schwaiger

7 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. Schwaiger Canada	7	545	191	145	93	77	7	641
Greg B Penner Canada	7	464 0.9×	163 0.9×	119 0.8×	71 0.8×	92 1.2×	15	597
J.T. Sylvester United States	10	657 1.2×	157 0.8×	149 1.0×	89 1.0×	67 0.9×	13	757
H. T. Purvis United States	9	755 1.4×	201 1.1×	295 2.0×	101 1.1×	125 1.6×	18	904
Jimmy J. Hyslop United Kingdom	7	605 1.1×	238 1.2×	197 1.4×	60 0.6×	83 1.1×	7	716
Shoukun Ji China	13	395 0.7×	216 1.1×	101 0.7×	66 0.7×	68 0.9×	32	553
Thomer Durman Brazil	5	485 0.9×	257 1.3×	142 1.0×	83 0.9×	69 0.9×	11	633
J. D. Fulford United States	7	482 0.9×	201 1.1×	116 0.8×	126 1.4×	58 0.8×	8	618
K. L. Dorton United States	10	477 0.9×	189 1.0×	137 0.9×	93 1.0×	241 3.1×	13	732
H.F. Monteiro United States	13	360 0.7×	104 0.5×	92 0.6×	59 0.6×	68 0.9×	41	446
Lovelia L. Mamuad South Korea	14	367 0.7×	98 0.5×	68 0.5×	69 0.7×	87 1.1×	40	540

Countries citing papers authored by T. Schwaiger

Since Specialization

Citations

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

Fields of papers citing papers by T. Schwaiger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Schwaiger

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

All Works

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7 of 7 papers shown

DeVries, T.J., T. Schwaiger, K. A. Beauchemin, & G.B. Penner. (2014). Impact of severity of ruminal acidosis on feed-sorting behaviour of beef cattle. Animal Production Science. 54(9). 1238–1242. 29 indexed citations

DeVries, T.J., T. Schwaiger, K. A. Beauchemin, & G.B. Penner. (2014). The duration of time that beef cattle are fed a high-grain diet affects feed sorting behavior both before and after acute ruminal acidosis1,2. Journal of Animal Science. 92(4). 1728–1737. 37 indexed citations

Petri, Renée M., T. Schwaiger, Greg B Penner, et al.. (2013). Characterization of the Core Rumen Microbiome in Cattle during Transition from Forage to Concentrate as Well as during and after an Acidotic Challenge. PLoS ONE. 8(12). e83424–e83424. 301 indexed citations

Petri, Renée M., T. Schwaiger, G.B. Penner, et al.. (2013). Changes in the Rumen Epimural Bacterial Diversity of Beef Cattle as Affected by Diet and Induced Ruminal Acidosis. Applied and Environmental Microbiology. 79(12). 3744–3755. 168 indexed citations

Schwaiger, T., K. A. Beauchemin, & G.B. Penner. (2013). The duration of time that beef cattle are fed a high-grain diet affects the recovery from a bout of ruminal acidosis: Dry matter intake and ruminal fermentation1. Journal of Animal Science. 91(12). 5729–5742. 45 indexed citations

Schwaiger, T., K. A. Beauchemin, & G.B. Penner. (2013). Duration of time that beef cattle are fed a high-grain diet affects the recovery from a bout of ruminal acidosis: Short-chain fatty acid and lactate absorption, saliva production, and blood metabolites1. Journal of Animal Science. 91(12). 5743–5753. 40 indexed citations

Perry, Steve F., T. Schwaiger, Yusuke Kumai, Velislava Tzaneva, & Marvin H. Braun. (2010). The consequences of reversible gill remodelling on ammonia excretion in goldfish (Carassius auratus). Journal of Experimental Biology. 213(21). 3656–3665. 21 indexed citations

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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