J.M. Fernandez

2.7k total citations
76 papers, 2.1k citations indexed

About

J.M. Fernandez is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, J.M. Fernandez has authored 76 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Agronomy and Crop Science, 22 papers in Genetics and 14 papers in Animal Science and Zoology. Recurrent topics in J.M. Fernandez's work include Ruminant Nutrition and Digestive Physiology (42 papers), Reproductive Physiology in Livestock (23 papers) and Genetic and phenotypic traits in livestock (19 papers). J.M. Fernandez is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (42 papers), Reproductive Physiology in Livestock (23 papers) and Genetic and phenotypic traits in livestock (19 papers). J.M. Fernandez collaborates with scholars based in United States, United Kingdom and Slovakia. J.M. Fernandez's co-authors include L. D. Bunting, T. Sahlu, Donald L. Thompson, L. L. Southern, C. L. DePew, A.M. Chapa, L. S. Sticker, T. D. Bidner, C.D. Lu and Michael J. Potchoiba and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

J.M. Fernandez

74 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.M. Fernandez United States 31 1.1k 548 454 387 188 76 2.1k
L. D. Bunting United States 19 481 0.4× 304 0.6× 149 0.3× 212 0.5× 123 0.7× 44 993
Cristina Castillo Spain 26 1.3k 1.2× 761 1.4× 348 0.8× 645 1.7× 50 0.3× 113 3.0k
Louis Istasse Belgium 25 767 0.7× 1.1k 2.0× 620 1.4× 219 0.6× 156 0.8× 152 2.9k
T. E. Engle United States 32 1.4k 1.3× 1.8k 3.3× 643 1.4× 122 0.3× 95 0.5× 193 3.3k
R. Yagil Israel 22 264 0.2× 202 0.4× 126 0.3× 106 0.3× 45 0.2× 74 1.4k
L. W. Greene United States 28 1.1k 1.1× 695 1.3× 409 0.9× 42 0.1× 256 1.4× 97 2.2k
Brian Larson United States 20 243 0.2× 371 0.7× 344 0.8× 42 0.1× 50 0.3× 34 1.8k
F. J. Schwarz Germany 32 1.3k 1.2× 813 1.5× 726 1.6× 85 0.2× 24 0.1× 156 3.1k
R. J. Christopherson Canada 27 769 0.7× 903 1.6× 301 0.7× 49 0.1× 94 0.5× 94 1.8k
J. S. Caton United States 34 2.3k 2.1× 823 1.5× 852 1.9× 125 0.3× 19 0.1× 155 3.8k

Countries citing papers authored by J.M. Fernandez

Since Specialization
Citations

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

Fields of papers citing papers by J.M. Fernandez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.M. Fernandez. 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 J.M. Fernandez. The network helps show where J.M. Fernandez may publish in the future.

Co-authorship network of co-authors of J.M. Fernandez

This figure shows the co-authorship network connecting the top 25 collaborators of J.M. Fernandez. A scholar is included among the top collaborators of J.M. Fernandez 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 J.M. Fernandez. J.M. Fernandez 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
1.
Fernandez, J.M., et al.. (2015). Factores que Influyen en la Composición de la Leche en el Sector el Retorno, Parroquia Sabanilla, Cantón Zamora, Provincia de Zamora Chinchipe – Ecuador. SHILAP Revista de lepidopterología. 1 indexed citations
2.
White, Tony, J.M. Fernandez, L. R. Gentry, et al.. (2003). Influence of Energy and Protein Supplementation on Growth Rate, Empty Body Composition and Ruminal and Blood Metabolites of Goat Kids Fed Hay Diets. The Professional Animal Scientist. 19(4). 297–303.
3.
Chapa, A.M., et al.. (2001). Supplemental Dietary Protein for Grazing Dairy Cows: Reproduction, Condition Loss, Plasma Metabolites, and Insulin. Journal of Dairy Science. 84(4). 908–916. 24 indexed citations
5.
Calvo, Francisco, et al.. (2000). Evaluation of heart involvement in gamma-sarcoglycanopathy (LGMD2C). A study of ten patients. Neuromuscular Disorders. 10(8). 560–566. 30 indexed citations
6.
Bunting, L. D., et al.. (2000). Effects of Dietary Inclusion of Chromium Propionate and Calcium Propionate on Glucose Disposal and Gastrointestinal Development in Dairy Calves. Journal of Dairy Science. 83(11). 2491–2498. 45 indexed citations
7.
West, J.W., G. M. Hill, J.M. Fernandez, P. Mandebvu, & B. G. Mullinix. (1999). Effects of Dietary Fiber on Intake, Milk Yield, and Digestion by Lactating Dairy Cows During Cool or Hot, Humid Weather. Journal of Dairy Science. 82(11). 2455–2465. 64 indexed citations
8.
McCormick, M.E., et al.. (1999). Crude Protein and Rumen Undegradable Protein Effects on Reproduction and Lactation Performance of Holstein Cows. Journal of Dairy Science. 82(12). 2697–2708. 45 indexed citations
9.
White, Tony, J.M. Fernandez, L. R. Gentry, et al.. (1998). Effects of fish meal and sodium bentonite on daily gain, wool growth, carcass characteristics, and ruminal and blood characteristics of lambs fed concentrate diets.. Journal of Animal Science. 76(8). 2025–2025. 40 indexed citations
10.
Forbes, C.D., J.M. Fernandez, L. D. Bunting, et al.. (1998). Growth and metabolic characteristics of Suffolk and Gulf Coast Native yearling ewes supplemented with chromium tripicolinate. Small Ruminant Research. 28(2). 149–160. 19 indexed citations
11.
Sticker, L. S., Donald L. Thompson, L. D. Bunting, et al.. (1995). Feed deprivation of mares: plasma metabolite and hormonal concentrations and responses to exercise.. Journal of Animal Science. 73(12). 3696–3696. 42 indexed citations
12.
Sahlu, T., R. Puchała, PJ Reis, et al.. (1995). Technical note: tissue residues of mimosine and 2,3-dihydroxypyridine after intravenous infusion in goats.. Journal of Animal Science. 73(1). 172–172. 12 indexed citations
13.
Pierzynowski, Stefan, et al.. (1995). Effect of mimosine on portal-drained visceral net flux and concentrations of amino acids and minerals in plasma of Alpine goats. Small Ruminant Research. 18(1). 43–49. 7 indexed citations
14.
Bunting, L. D., J.M. Fernandez, Donald L. Thompson, & L. L. Southern. (1994). Influence of chromium picolinate on glucose usage and metabolic criteria in growing Holstein calves2. Journal of Animal Science. 72(6). 1591–1599. 110 indexed citations
16.
Sahlu, T., et al.. (1993). Effect of Source and Amount of Protein on Milk Production in Dairy Goats. Journal of Dairy Science. 76(9). 2701–2710. 23 indexed citations
17.
Sirinathsinghji, D.J.S., E J Mayer, J.M. Fernandez, & Stephen B. Dunnett. (1993). The localization of cholecystokinin mRNA in embryonic striatal tissue grafts. Neuroreport. 4(6). 659–662. 16 indexed citations
18.
Sahlu, T., et al.. (1992). Influence of Dietary Protein on Performance of Dairy Goats During Pregnancy. Journal of Dairy Science. 75(1). 220–227. 19 indexed citations
19.
Froetschel, M.A., Winston M. Hagler, W.J. Croom, et al.. (1987). Research Note: Effects of Slaframine on Circulating Concentrations of Growth Hormone and Glucose. Poultry Science. 66(5). 904–906. 5 indexed citations
20.
Fernandez, J.M., et al.. (1976). Zinc, copper and ceruloplasmin in arteriosclerosis.. PubMed. 25(7). 244–5. 20 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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