Jennifer L. Wampler

1.1k total citations
37 papers, 862 citations indexed

About

Jennifer L. Wampler is a scholar working on Nutrition and Dietetics, Psychiatry and Mental health and Epidemiology. According to data from OpenAlex, Jennifer L. Wampler has authored 37 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Nutrition and Dietetics, 13 papers in Psychiatry and Mental health and 9 papers in Epidemiology. Recurrent topics in Jennifer L. Wampler's work include Infant Nutrition and Health (23 papers), Child Nutrition and Feeding Issues (13 papers) and Breastfeeding Practices and Influences (9 papers). Jennifer L. Wampler is often cited by papers focused on Infant Nutrition and Health (23 papers), Child Nutrition and Feeding Issues (13 papers) and Breastfeeding Practices and Influences (9 papers). Jennifer L. Wampler collaborates with scholars based in United States, Italy and Chile. Jennifer L. Wampler's co-authors include Arun K. Bhunia, Cheryl L. Harris, Ziad W. Jaradat, Carol Lynn Berseth, Steven S. Wu, Maciej Chichlowski, Kwang Pyo Kim, Jon A. Vanderhoof, Neil Shah and G. M. Hill and has published in prestigious journals such as Applied and Environmental Microbiology, The FASEB Journal and Journal of Nutrition.

In The Last Decade

Jennifer L. Wampler

36 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer L. Wampler United States 17 430 221 212 116 116 37 862
Irene Espinosa‐Martos Spain 20 505 1.2× 224 1.0× 229 1.1× 187 1.6× 38 0.3× 25 832
Arjen Wagendorp Netherlands 10 580 1.3× 555 2.5× 666 3.1× 99 0.9× 135 1.2× 10 1.3k
Martin Frederik Laursen Denmark 17 411 1.0× 310 1.4× 952 4.5× 163 1.4× 40 0.3× 33 1.4k
Christopher T. Cordle United States 15 316 0.7× 269 1.2× 308 1.5× 157 1.4× 28 0.2× 25 918
Maxwell L. Van Tassell United States 10 376 0.9× 417 1.9× 440 2.1× 130 1.1× 118 1.0× 12 904
Arsenis Tsiotsias Greece 10 181 0.4× 200 0.9× 306 1.4× 80 0.7× 82 0.7× 19 673
Andrea Budelli Italy 16 287 0.7× 243 1.1× 224 1.1× 101 0.9× 29 0.3× 38 619
Sheila Khanna United Kingdom 5 429 1.0× 342 1.5× 581 2.7× 122 1.1× 16 0.1× 5 1.0k
C. Reviriego Spain 7 520 1.2× 443 2.0× 478 2.3× 157 1.4× 36 0.3× 8 898
Janina A. Krumbeck United States 13 261 0.6× 308 1.4× 562 2.7× 117 1.0× 26 0.2× 32 999

Countries citing papers authored by Jennifer L. Wampler

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer L. Wampler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer L. Wampler

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer L. Wampler. A scholar is included among the top collaborators of Jennifer L. Wampler 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 Jennifer L. Wampler. Jennifer L. Wampler 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.
Kok, Car Reen, Cheryl L. Harris, Nancy Moore, et al.. (2024). Microbiota, metabolic profiles and immune biomarkers in infants receiving formula with added bovine milk fat globule membrane: a randomized, controlled trial. Frontiers in Nutrition. 11. 1465174–1465174. 1 indexed citations
4.
Shulman, Robert J., Maciej Chichlowski, Cheryl L. Harris, et al.. (2022). Infant behavioral state and stool microbiome in infants receiving Lactocaseibacillus rhamnosus GG in formula: randomized controlled trial. BMC Pediatrics. 22(1). 580–580. 7 indexed citations
6.
Chichlowski, Maciej, Nicholas A. Bokulich, Cheryl L. Harris, et al.. (2021). Effect of Bovine Milk Fat Globule Membrane and Lactoferrin in Infant Formula on Gut Microbiome and Metabolome at 4 Months of Age. Current Developments in Nutrition. 5(5). nzab027–nzab027. 15 indexed citations
8.
Chichlowski, Maciej, Neil Shah, Jennifer L. Wampler, Steven S. Wu, & Jon A. Vanderhoof. (2020). Bifidobacterium longum Subspecies infantis (B. infantis) in Pediatric Nutrition: Current State of Knowledge. Nutrients. 12(6). 1581–1581. 85 indexed citations
9.
Kok, Car Reen, Maciej Chichlowski, Cheryl L. Harris, et al.. (2020). Stool microbiome, pH and short/branched chain fatty acids in infants receiving extensively hydrolyzed formula, amino acid formula, or human milk through two months of age. BMC Microbiology. 20(1). 27 indexed citations
10.
Baldassarre, Maria Elisabetta, Antonio Di Mauro, O Montagna, et al.. (2019). Faster Gastric Emptying Is Unrelated to Feeding Success in Preterm Infants: Randomized Controlled Trial. Nutrients. 11(7). 1670–1670. 10 indexed citations
11.
Baldassarre, Maria Elisabetta, Antonio Di Mauro, Margherita Fanelli, et al.. (2019). Shorter Time to Full Preterm Feeding Using Intact Protein Formula: A Randomized Controlled Trial. International Journal of Environmental Research and Public Health. 16(16). 2911–2911. 7 indexed citations
12.
Li, Fei, Steven S. Wu, Carol Lynn Berseth, et al.. (2019). Improved Neurodevelopmental Outcomes Associated with Bovine Milk Fat Globule Membrane and Lactoferrin in Infant Formula: A Randomized, Controlled Trial. The Journal of Pediatrics. 215. 24–31.e8. 103 indexed citations
13.
Harris, Cheryl L., et al.. (2016). Growth and tolerance of infants fed formula with a new algal source of docosahexaenoic acid: Double-blind, randomized, controlled trial. Prostaglandins Leukotrienes and Essential Fatty Acids. 115. 89–96. 14 indexed citations
14.
Muraro, Antonella, Maarten O. Hoekstra, Yolanda Meijer, et al.. (2012). Extensively hydrolysed casein formula supplemented with Lactobacillus rhamnosus GG maintains hypoallergenic status: randomised double-blind, placebo-controlled crossover trial. BMJ Open. 2(2). e000637–e000637. 16 indexed citations
16.
Nakamura, Noriko, H. Rex Gaskins, C.T. Collier, et al.. (2008). Molecular Ecological Analysis of Fecal Bacterial Populations from Term Infants Fed Formula Supplemented with Selected Blends of Prebiotics. Applied and Environmental Microbiology. 75(4). 1121–1128. 74 indexed citations
17.
Bhunia, Arun K., Jennifer L. Wampler, Pina M. Fratamico, & Leif Smith. (2005). Animal and cell culture models for foodborne bacterial pathogens.. 15–32. 3 indexed citations
18.
Wampler, Jennifer L., Kwang Pyo Kim, Ziad W. Jaradat, & Arun K. Bhunia. (2004). Heat Shock Protein 60 Acts as a Receptor for theListeriaAdhesion Protein in Caco-2 Cells. Infection and Immunity. 72(2). 931–936. 76 indexed citations
19.
Menon, A. Nirmala, et al.. (2003). In vitro study of Listeria monocytogenes infection to murine primary and human transformed B cells. Comparative Immunology Microbiology and Infectious Diseases. 26(3). 157–174. 30 indexed citations
20.
Callaway, Todd R., Scott A. Martin, Jennifer L. Wampler, N. S. Hill, & G. M. Hill. (1997). Malate Content of Forage Varieties Commonly Fed to Cattle. Journal of Dairy Science. 80(8). 1651–1655. 59 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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