C.G. Schwab

3.2k citations
57 papers · 2.3k indexed · h-index 26

C.G. Schwab

54 papers receiving 2.1k citations

Peers

C.G. Schwab
Comparison fields: 5 of 93
  • Agronomy and Crop Science 1.9k
  • Small Animals 242
  • Animal Science and Zoology 323
  • Genetics 766
  • Nutrition and Dietetics 269
Replace M. J. Cecava with:
M. J. Cecava United States
H. Tagari Israel
R. C. Siddons China
R. H. Smith United States
Peter Lebzien Germany
N.L. Whitehouse United States
Henri Rulquin France
M. L. Eastridge United States
G. T. Schelling United States
C. Parys Germany
C.G. Schwab relative to M. J. Cecava United States M. J. Cecava's profile →
Citations per field
00.5×2.9×
M. J. Cecava · 1×
Citations per year

Countries citing papers authored by C.G. Schwab

Since Specialization
Citations

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

Fields of papers citing papers by C.G. Schwab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.G. Schwab. 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 C.G. Schwab. The network helps show where C.G. Schwab may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 202119
4 2017207
5 201112
6
In situ and in vitro methods to determine intestinal digestion of protein and amino acids in ruminants.
20101
7 200920
8 200912
9 200754
10 200711
11 2006108
12 200673
13 2005132
14 20047
15 200237
16 200126
17 199799
18
Amino acid nutrition of the dairy cow: current status
199611
19 199290
20
The effect of extruded heat-processed soybeans and methionine on performance, nitrogen and energy metabolism and blood parameters in early lactation cows.
19809

About C.G. Schwab

C.G. Schwab is a scholar working on Agronomy and Crop Science, Small Animals and Animal Science and Zoology, having authored 57 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (45 papers), Reproductive Physiology in Livestock (21 papers), Genetic and phenotypic traits in livestock (20 papers), Animal health and immunology (10 papers), Animal Nutrition and Physiology (8 papers), Muscle metabolism and nutrition (5 papers), Nitrogen and Sulfur Effects on Brassica (4 papers) and Infant Nutrition and Health (4 papers). The work is most often cited by research in Agronomy and Crop Science (1.9k citations), Small Animals (242 citations) and Animal Science and Zoology (323 citations). C.G. Schwab has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include N.L. Whitehouse, G.A. Broderick, L.D. Satter, D.E. Putnam, M. Mesbah, M.T. Socha, J.D. Quigley, P.S. Erickson, Gary A Ducharme and J.B. Holter. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.

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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2026