J. Neu

560 citations
40 papers · 283 · h-index 8

Impact in

Papers in

J. Neu

36 papers receiving 261 citations

Peers

J. Neu
Comparison fields: 5 of 71
  • Biological Psychiatry 11
  • Obstetrics and Gynecology 28
  • Nutrition and Dietetics 54
  • Pediatrics, Perinatology and Child Health 58
  • Genetics 46
Replace Isabel Cristina Ribas Werlang with:
Isabel Cristina Ribas Werlang Brazil
Natsuko Mito Japan
Д. А. Каштанова Russia
Shumei Cheng China
Pedro Sánchez-Aparicio Mexico
Adriana Moleres Spain
Yu Hasegawa United States
Jesús Peralta‐Romero Mexico
Marie‐Julie Allard Canada
Leilani Muhardi Netherlands
J. Neu relative to Isabel Cristina Ribas Werlang Brazil Isabel Cristina Ribas Werlang's profile →
Citations per field
00.5×1.5×
Isabel Cristina Ribas Werlang · 1×
Citations per year

Countries citing papers authored by J. Neu

Since Specialization
Citations

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

Fields of papers citing papers by J. Neu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside J. Neu, 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 J. Neu Line = papers co-authored together J. Neu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200971
2 201234
3 201130
4 198130
5 199017
6 201016
7 201215
8 201111
9 20115
10 20105
11 20124
12 20103
13 20103
14 20113
15 20103
16 20093
17 20093
18 20102
19 20092
20 20112

About J. Neu

J. Neu is a scholar working on Nutrition and Dietetics, Pediatrics, Perinatology and Child Health, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 40 papers that have together received 283 indexed citations. Recurring topics across this work include Infant Nutrition and Health (12 papers), Birth, Development, and Health (7 papers), Gut microbiota and health (6 papers), Neonatal Respiratory Health Research (6 papers), Diet and metabolism studies (6 papers), Infant Health and Development (4 papers), Child Nutrition and Feeding Issues (4 papers) and Infant Development and Preterm Care (4 papers). The work is most often cited by research in Biological Psychiatry (11 citations), Obstetrics and Gynecology (28 citations), Nutrition and Dietetics (54 citations), Pediatrics, Perinatology and Child Health (58 citations) and Genetics (46 citations). J. Neu has collaborated with scholars based in United States. Frequent co-authors include Philip Sunshine, K.K. Tsuboi, L K Kwong, William H. Meetze, Christina J. Valentine, Maria Ukhanova, Tyler Culpepper, X. Wang, Volker Mai and Yijun Sun. Their work appears in journals such as European Journal of Pediatrics, Clinical Microbiology and Infection, Biochemical and Biophysical Research Communications and Yearbook of Neonatal and Perinatal Medicine.

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.

Explore authors with similar magnitude of impact