Dan L. Brown

2.5k citations
57 papers · 2.0k · h-index 18

Impact in

Papers in

Dan L. Brown

55 papers receiving 2.0k citations

Peers

Dan L. Brown
Comparison fields: 5 of 141
  • Endocrine and Autonomic Systems 250
  • Building and Construction 471
  • Biochemistry 188
  • Agronomy and Crop Science 238
  • Industrial and Manufacturing Engineering 162
Replace Matthias Schreiner with:
Matthias Schreiner Austria
Daniel Tomé France
Michael H. Penner United States
Naoko Moriya Japan
Xiaodong Li China
Philippe Patureau Mirand France
Sunil Sirohi India
Jean‐François Thibault France
Yong Meng Goh Malaysia
Shaoxun Tang China
Dan L. Brown relative to Matthias Schreiner Austria Matthias Schreiner's profile →
Citations per field
00.5×10×20×31.3×
Matthias Schreiner · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985311
2 2012286
3 2012265
4 2005146
5 2008123
6 2015114
7 2004103
8 200263
9 201754
10 199446
11 201546
12 198944
13 198833
14 200731
15 201228
16 201426
17 198819
18 200218
19 198517
20 200216

About Dan L. Brown

Dan L. Brown is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Plant Science, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (14 papers), Genetic and phenotypic traits in livestock (9 papers), Animal Nutrition and Physiology (8 papers), Mycotoxins in Agriculture and Food (8 papers), Wheat and Barley Genetics and Pathology (5 papers), Effects of Environmental Stressors on Livestock (4 papers), Reproductive Physiology in Livestock (4 papers) and Anaerobic Digestion and Biogas Production (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (250 citations), Building and Construction (471 citations), Biochemistry (188 citations), Agronomy and Crop Science (238 citations) and Industrial and Manufacturing Engineering (162 citations). Dan L. Brown has collaborated with scholars based in United States, Haiti and Palestinian Territory. Frequent co-authors include Yebo Li, Patrice G. Guyenet, Jian Shi, Rui Hai Liu, Laura M. Bystrom, Betty A. Lewis, Ralph L. Obendorf, Eloy Rodrı́guez, Gisela H. Degen and Hans‐Ulrich Humpf. Their work appears in journals such as Journal of Dairy Science, Animal Feed Science and Technology, Journal of Nutrition, Small Ruminant Research and Bioresource Technology.

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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