C.G. Schwab
- Agronomy and Crop Science top 0.1%
- Genetics top 2%
- Animal Science and Zoology top 2%
- Nutrition and Dietetics top 5%
- Molecular Biology
- Co-authors
- N.L. WhitehouseG.A. BroderickL.D. SatterD.E. PutnamM. MesbahM.T. SochaJ.D. QuigleyP.S. Erickson
- Topics
- Ruminant Nutrition and Digestive Physiology (45 papers)Reproductive Physiology in Livestock (21 papers)Genetic and phenotypic traits in livestock (20 papers)
- Journals
- Journal of Clinical InvestigationSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United StatesCanadaSpain
In The Last Decade
C.G. Schwab
54 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 93
- Agronomy and Crop Science 1.9k
- Genetics 766
- Animal Science and Zoology 323
- Nutrition and Dietetics 269
- Molecular Biology 257
Countries citing papers authored by C.G. Schwab
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
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 of co-authors of C.G. Schwab
This figure shows the co-authorship network connecting the top 25 collaborators of C.G. Schwab. A scholar is included among the top collaborators of C.G. Schwab 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 C.G. Schwab. C.G. Schwab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 19 | |
| 4 | 207 | |
| 5 | 12 | |
| 6 | In situ and in vitro methods to determine intestinal digestion of protein and amino acids in ruminants. | 1 |
| 7 | 20 | |
| 8 | 12 | |
| 9 | 54 | |
| 10 | 11 | |
| 11 | 108 | |
| 12 | 73 | |
| 13 | 132 | |
| 14 | 7 | |
| 15 | 37 | |
| 16 | 26 | |
| 17 | 99 | |
| 18 | Amino acid nutrition of the dairy cow: current status | 11 |
| 19 | 90 | |
| 20 | The effect of extruded heat-processed soybeans and methionine on performance, nitrogen and energy metabolism and blood parameters in early lactation cows. | 9 |
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) and Genetic and phenotypic traits in livestock (20 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.