Dan L. Brown

2.5k total citations
57 papers, 2.0k citations indexed

About

Dan L. Brown is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Plant Science. According to data from OpenAlex, Dan L. Brown has authored 57 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Agronomy and Crop Science, 14 papers in Animal Science and Zoology and 14 papers in Plant Science. Recurrent topics in Dan L. Brown's work include Ruminant Nutrition and Digestive Physiology (14 papers), Genetic and phenotypic traits in livestock (9 papers) and Mycotoxins in Agriculture and Food (8 papers). Dan L. Brown is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (14 papers), Genetic and phenotypic traits in livestock (9 papers) and Mycotoxins in Agriculture and Food (8 papers). Dan L. Brown collaborates with scholars based in United States, Haiti and Palestinian Territory. Dan L. Brown's co-authors include Yebo Li, Patrice G. Guyenet, Jian Shi, Rui Hai Liu, Eloy Rodrı́guez, Betty A. Lewis, Laura M. Bystrom, Ralph L. Obendorf, Hans‐Ulrich Humpf and Benedikt Cramer and has published in prestigious journals such as Circulation Research, Bioresource Technology and Journal of Agricultural and Food Chemistry.

In The Last Decade

Dan L. Brown

55 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan L. Brown United States 18 471 459 308 279 254 57 2.0k
Matthias Schreiner Austria 20 251 0.5× 155 0.3× 336 1.1× 224 0.8× 245 1.0× 59 1.5k
Michael H. Penner United States 25 64 0.1× 511 1.1× 1.1k 3.7× 906 3.2× 764 3.0× 73 2.7k
Xiaodong Li China 33 81 0.2× 358 0.8× 99 0.3× 638 2.3× 1.4k 5.5× 167 3.1k
Daniel Tomé France 25 24 0.1× 393 0.9× 122 0.4× 810 2.9× 611 2.4× 55 3.2k
Yong Meng Goh Malaysia 37 36 0.1× 585 1.3× 242 0.8× 1.0k 3.7× 535 2.1× 265 5.1k
Philippe Patureau Mirand France 28 24 0.1× 318 0.7× 123 0.4× 891 3.2× 413 1.6× 49 2.9k
Shaoxun Tang China 23 73 0.2× 243 0.5× 100 0.3× 507 1.8× 227 0.9× 140 2.1k
Naoko Moriya Japan 12 160 0.3× 46 0.1× 120 0.4× 177 0.6× 90 0.4× 34 599
Sunil Sirohi India 24 129 0.3× 129 0.3× 69 0.2× 487 1.7× 86 0.3× 95 1.7k
G. Rajendran India 19 41 0.1× 586 1.3× 157 0.5× 342 1.2× 91 0.4× 96 2.0k

Countries citing papers authored by Dan L. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Dan L. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan L. Brown. 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 Dan L. Brown. The network helps show where Dan L. Brown may publish in the future.

Co-authorship network of co-authors of Dan L. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Dan L. Brown. A scholar is included among the top collaborators of Dan L. Brown 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 Dan L. Brown. Dan L. Brown 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.
Birch, Colin, et al.. (2024). Difference in differences analysis evaluates the effects of the badger control policy on bovine tuberculosis in England. Scientific Reports. 14(1). 4849–4849. 6 indexed citations
2.
Brown, Dan L., et al.. (2016). Detection of trace aflatoxin M1 in human urine using a commercial ELISA followed by HPLC. Biomarkers. 22(1). 1–4. 15 indexed citations
3.
Brown, Dan L.. (2012). Comparison of Solid-State to Liquid Phase Anaerobic Digestion of Lignocellulosic Biomass for Biogas Production. OhioLink ETD Center (Ohio Library and Information Network). 5 indexed citations
4.
Brown, Dan L., Jian Shi, & Yebo Li. (2012). Comparison of solid-state to liquid anaerobic digestion of lignocellulosic feedstocks for biogas production. Bioresource Technology. 124. 379–386. 265 indexed citations
5.
Bystrom, Laura M., Betty A. Lewis, Dan L. Brown, Eloy Rodrı́guez, & Ralph L. Obendorf. (2009). Phenolics, Sugars, Antimicrobial and Free-Radical-Scavenging Activities of Melicoccus bijugatus Jacq. Fruits from the Dominican Republic and Florida. Plant Foods for Human Nutrition. 64(2). 160–166. 15 indexed citations
6.
Brown, Dan L., Mitsuru Naiki, & M. Eric Gershwin. (2008). Does L-Canavanine Ingestion Induce Murine SLE?: Paradoxical Effects on Survival of BALB/c Mice. 5(2). 17–27. 1 indexed citations
7.
Bystrom, Laura M., Betty A. Lewis, Dan L. Brown, Eloy Rodrı́guez, & Ralph L. Obendorf. (2008). Characterisation of phenolics by LC–UV/Vis, LC–MS/MS and sugars by GC in Melicoccus bijugatus Jacq. ‘Montgomery’ fruits. Food Chemistry. 111(4). 1017–1024. 123 indexed citations
8.
Brown, Dan L., et al.. (2005). In vitro digestion and lactase treatment influence uptake of quercetin and quercetin glucoside by the Caco-2 cell monolayer. Nutrition Journal. 4(1). 1–1. 146 indexed citations
9.
Brown, Dan L.. (2005). Canavanine-induced longevity in mice may require diets with greater than 15.7% protein. Nutrition & Metabolism. 2(1). 7–7. 8 indexed citations
10.
Brown, Dan L.. (2003). Solutions Exist for Constraints to Household Production and Retention of Animal Food Products. Journal of Nutrition. 133(11). 4042S–4047S. 10 indexed citations
11.
Brown, Dan L., et al.. (2002). Isolation, identification, and characterization of compounds from Acer rubrum capable of oxidizing equine erythrocytes. American Journal of Veterinary Research. 63(4). 604–610. 18 indexed citations
12.
McNamara, J.P., et al.. (1994). Validation of Indirect Measures of Body Fat in Lactating Cows. Journal of Dairy Science. 77(9). 2570–2579. 46 indexed citations
13.
Brown, Dan L., et al.. (1992). Environmental satellites enhance science education. IEEE Technology and Society Magazine. 11(1). 41–45.
14.
Kouakou, Brou, et al.. (1992). Initial research indicates dairy goats used to clear poison oak do not transfer toxicant to milk. California Agriculture. 46(3). 4–6. 2 indexed citations
15.
Brown, Dan L., et al.. (1989). Influence of Sometribove, USAN (Recombinant Methionyl Bovine Somatotropin) on the Body Composition of Lactating Cattle. Journal of Nutrition. 119(4). 633–638. 44 indexed citations
16.
Brown, Dan L., et al.. (1988). Effects of Caffeine and 3-Isobutyl 1-Methyl Xanthine on Caprine Milk Secretion. Journal of Dairy Science. 71(2). 513–517. 2 indexed citations
17.
Reed, Bruce & Dan L. Brown. (1988). Almond Hulls in Diets for Lactating Goats: Effects on Yield and Composition of Milk, Feed Intake, and Digestibility. Journal of Dairy Science. 71(2). 530–533. 19 indexed citations
18.
Brown, Dan L., et al.. (1987). Feed Efficiency, Growth Rates, Body Composition, Milk Production and Milk Composition of Targhee Sheep Selected for Increased Weaning Weight. Journal of Animal Science. 65(3). 692–698. 8 indexed citations
19.
Brown, Dan L., et al.. (1987). Delayed Excretion of 3-Methylhistidine in Goats. Journal of Nutrition. 117(12). 2106–2108. 7 indexed citations
20.
Brown, Dan L. & D. E. Hogue. (1985). Effects of Feeding Monensin Sodium to Lactating Goats: Milk Composition and Ruminal Volatile Fatty Acids. Journal of Dairy Science. 68(5). 1141–1147. 17 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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