G. Molano

1.4k total citations
36 papers, 1.1k citations indexed

About

G. Molano is a scholar working on Agronomy and Crop Science, Process Chemistry and Technology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, G. Molano has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Agronomy and Crop Science, 11 papers in Process Chemistry and Technology and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in G. Molano's work include Ruminant Nutrition and Digestive Physiology (33 papers), Odor and Emission Control Technologies (11 papers) and Genetic and phenotypic traits in livestock (7 papers). G. Molano is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (33 papers), Odor and Emission Control Technologies (11 papers) and Genetic and phenotypic traits in livestock (7 papers). G. Molano collaborates with scholars based in New Zealand, Australia and Ghana. G. Molano's co-authors include H. Clark, C.S. Pinares-Patiño, Arjan Jonker, Stefan Muetzel, E. Sandoval, Sarah MacLean, Terry Knight, Xuezhao Sun, Johannes Laubach and G. C. Waghorn and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

G. Molano

36 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Molano New Zealand 21 863 371 226 201 173 36 1.1k
D. A. Boadi Canada 9 597 0.7× 338 0.9× 157 0.7× 99 0.5× 155 0.9× 12 794
K.J. Hammond United Kingdom 11 559 0.6× 252 0.7× 212 0.9× 127 0.6× 124 0.7× 17 674
Nadège Edouard France 14 246 0.3× 178 0.5× 114 0.5× 93 0.5× 113 0.7× 23 632
Aklilu W. Alemu Canada 14 346 0.4× 244 0.7× 98 0.4× 62 0.3× 59 0.3× 34 545
R.E. Agnew United Kingdom 20 1.4k 1.7× 523 1.4× 587 2.6× 663 3.3× 104 0.6× 49 1.8k
Breanna M. Roque Australia 12 457 0.5× 215 0.6× 93 0.4× 38 0.2× 23 0.1× 18 830
D.C. Patterson United Kingdom 22 1.1k 1.3× 320 0.9× 512 2.3× 692 3.4× 32 0.2× 92 1.6k
R Eckard Australia 14 436 0.5× 184 0.5× 64 0.3× 56 0.3× 30 0.2× 26 644
E.J. McGeough Canada 15 364 0.4× 194 0.5× 92 0.4× 48 0.2× 35 0.2× 43 608
J.J.M.H. Ketelaars Netherlands 14 318 0.4× 170 0.5× 131 0.6× 186 0.9× 63 0.4× 35 632

Countries citing papers authored by G. Molano

Since Specialization
Citations

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

Fields of papers citing papers by G. Molano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Molano

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

All Works

20 of 20 papers shown
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2.
Winichayakul, Somrutai, Stefan Muetzel, G. Molano, et al.. (2020). In vitro gas production and rumen fermentation profile of fresh and ensiled genetically modified high–metabolizable energy ryegrass. Journal of Dairy Science. 103(3). 2405–2418. 27 indexed citations
3.
Jonker, Arjan, S. M. Hickey, John C. McEwan, et al.. (2018). Rumen characteristics and total tract digestibility in low and high methane yield selection line sheep offered fresh good or poor quality pasture. Proceedings of the World Congress on Genetics Applied to Livestock Production. 366. 4 indexed citations
4.
5.
Jonker, Arjan, G. Molano, John Koolaard, & Stefan Muetzel. (2016). Methane emissions from lactating and non-lactating dairy cows and growing cattle fed fresh pasture. Animal Production Science. 57(4). 643–648. 32 indexed citations
6.
Jonker, Arjan, et al.. (2015). Nitrogen partitioning in sheep offered three perennial ryegrass cultivars at two allowances in spring and autumn. Figshare. 75. 74–78. 3 indexed citations
7.
Sun, Xuezhao, Gemma Henderson, Faith Cox, et al.. (2015). Lambs Fed Fresh Winter Forage Rape (Brassica napus L.) Emit Less Methane than Those Fed Perennial Ryegrass (Lolium perenne L.), and Possible Mechanisms behind the Difference. PLoS ONE. 10(3). e0119697–e0119697. 56 indexed citations
8.
9.
Laubach, Johannes, Samantha Grover, C.S. Pinares-Patiño, & G. Molano. (2014). A micrometeorological technique for detecting small differences in methane emissions from two groups of cattle. Atmospheric Environment. 98. 599–606. 11 indexed citations
10.
Pinares-Patiño, C.S., S. M. Hickey, K. G. Dodds, et al.. (2013). Heritability estimates of methane emissions from sheep. animal. 7. 316–321. 179 indexed citations
11.
Pinares-Patiño, C.S., José Ignacio Gere, María Paula Juliarena, et al.. (2012). Extending the Collection Duration of Breath Samples for Enteric Methane Emission Estimation Using the SF6 Tracer Technique. Animals. 2(2). 275–287. 19 indexed citations
12.
Sun, Xuezhao, S.O. Hoskin, G. Molano, et al.. (2011). Sheep fed forage chicory (Cichorium intybus) or perennial ryegrass (Lolium perenne) have similar methane emissions. Animal Feed Science and Technology. 172(3-4). 217–225. 34 indexed citations
13.
Pinares-Patiño, C.S., Keith R. Lassey, Roderick Martin, et al.. (2011). Assessment of the sulphur hexafluoride (SF6) tracer technique using respiration chambers for estimation of methane emissions from sheep. Animal Feed Science and Technology. 166-167. 201–209. 64 indexed citations
14.
Sun, Xuezhao, S.O. Hoskin, Stefan Muetzel, G. Molano, & H. Clark. (2011). Effects of forage chicory (Cichorium intybus) and perennial ryegrass (Lolium perenne) on methane emissions in vitro and from sheep. Animal Feed Science and Technology. 166-167. 391–397. 46 indexed citations
15.
Knight, T. W., Ron S. Ronimus, Debjit Dey, et al.. (2011). Chloroform decreases rumen methanogenesis and methanogen populations without altering rumen function in cattle. Animal Feed Science and Technology. 166-167. 101–112. 71 indexed citations
16.
Clark, H., et al.. (2008). Methane emissions from grazing Jersey×Friesian dairy cows in mid lactation. Australian Journal of Experimental Agriculture. 48(2). 230–230. 22 indexed citations
17.
Molano, G. & H. Clark. (2008). The effect of level of intake and forage quality on methane production by sheep. Australian Journal of Experimental Agriculture. 48(2). 219–219. 56 indexed citations
18.
Molano, G., Terry Knight, & H. Clark. (2008). Fumaric acid supplements have no effect on methane emissions per unit of feed intake in wether lambs. Australian Journal of Experimental Agriculture. 48(2). 165–165. 30 indexed citations
19.
Cosgrove, G.P., G. C. Waghorn, Craig B. Anderson, et al.. (2008). The effect of oils fed to sheep on methane production and digestion of ryegrass pasture. Australian Journal of Experimental Agriculture. 48(2). 189–189. 26 indexed citations
20.
Grace, N. D., P. Loganathan, M.H. Deighton, G. Molano, & M. J. Hedley. (2005). Ingestion of soil fluorine: Its impact on the fluorine metabolism of dairy cows. New Zealand Journal of Agricultural Research. 48(1). 23–27. 6 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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