Marcia H. Monaco

1.8k citations
52 papers · 1.3k indexed · h-index 21

Marcia H. Monaco

50 papers receiving 1.3k citations

Peers

Marcia H. Monaco
Comparison fields: 5 of 114
  • Nutrition and Dietetics 720
  • Animal Science and Zoology 142
  • Small Animals 91
  • Infectious Diseases 180
  • Genetics 239
Replace Cuong D. Tran with:
Cuong D. Tran Australia
Kristine G. Koski Canada
Denis Mariat France
Caroline Le Roy United Kingdom
Anna Maria Castellazzi Italy
Takaji Yajima Japan
Theo Ockhuizen Netherlands
Marı́a Rodrı́guez-Palmero Spain
Francesco Maria Calabrese Italy
Clemens Kunz Germany
Marcia H. Monaco relative to Cuong D. Tran Australia Cuong D. Tran's profile →
Citations per field
00.5×1.5×2.0×
Cuong D. Tran · 1×
Citations per year

Countries citing papers authored by Marcia H. Monaco

Since Specialization
Citations

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

Fields of papers citing papers by Marcia H. Monaco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcia H. Monaco. 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 Marcia H. Monaco. The network helps show where Marcia H. Monaco may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20235
4 20217
5 201952
6 201911
7 201816
8 201692
9 201453
10 201325
11 201364
12 20122
13 200818
14 200617
15 200520
16 200525
17 200138
18 199829
19 19979
20
Effect of oral formula ±igf-i on intestinal growth and enzyme activity of piglets on total parenteral nutrition (TPN)
19961

About Marcia H. Monaco

Marcia H. Monaco is a scholar working on Nutrition and Dietetics, Infectious Diseases and Genetics, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Infant Nutrition and Health (28 papers), Digestive system and related health (10 papers), Viral gastroenteritis research and epidemiology (8 papers), Gut microbiota and health (8 papers), Clinical Nutrition and Gastroenterology (7 papers), Breastfeeding Practices and Influences (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers) and Animal Genetics and Reproduction (4 papers). The work is most often cited by research in Nutrition and Dietetics (720 citations), Animal Science and Zoology (142 citations) and Small Animals (91 citations). Marcia H. Monaco has collaborated with scholars based in United States, Netherlands and Denmark. Frequent co-authors include Sharon M. Donovan, Mei Wang, Sarah S. Comstock, Mark S. Kuhlenschmidt, Theresa B. Kuhlenschmidt, M. S. Clegg, G. C. Fahey, Jodi L. Ensunsa, Michael J. Miller and Carl L. Keen. Their work appears in journals such as The FASEB Journal, FEBS Letters and Journal of Nutrition.

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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