J. Schaub

1.5k citations
57 papers · 1.0k · h-index 20

Impact in

Papers in

J. Schaub

54 papers receiving 958 citations

Peers

J. Schaub
Comparison fields: 5 of 93
  • Clinical Biochemistry 173
  • Rheumatology 284
  • Biochemistry 111
  • Nutrition and Dietetics 210
  • Hematology 107
Replace James C. Haworth with:
James C. Haworth Canada
Rosemary Deacon United Kingdom
Joachim Kreuder Germany
Peter E. Campbell Australia
Kyoung‐Jin Sohn Canada
Sarah C. Grünert Germany
Robert A. Ulstrom United States
James P. Loehr United States
S J James United States
John F. Mueller United States
J. Schaub relative to James C. Haworth Canada James C. Haworth's profile →
Citations per field
00.5×3.8×
James C. Haworth · 1×
Citations per year

Countries citing papers authored by J. Schaub

Since Specialization
Citations

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

Fields of papers citing papers by J. Schaub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Schaub, 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. Schaub Line = papers co-authored together J. Schaub 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 1998116
2 200291
3 198978
4 198857
5 198338
6 199137
7 197737
8 200336
9 199234
10 198833
11 198728
12 197727
13 199425
14 200124
15 198124
16 200023
17 198522
18 199721
19 199320
20 197620

About J. Schaub

J. Schaub is a scholar working on Molecular Biology, Nutrition and Dietetics, Rheumatology, Clinical Biochemistry and Pediatrics, Perinatology and Child Health, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (14 papers), Glycogen Storage Diseases and Myoclonus (13 papers), Infant Nutrition and Health (10 papers), Biochemical and Molecular Research (8 papers), Neonatal Health and Biochemistry (7 papers), Trace Elements in Health (7 papers), Breastfeeding Practices and Influences (6 papers) and Child Nutrition and Water Access (6 papers). The work is most often cited by research in Clinical Biochemistry (173 citations), Rheumatology (284 citations), Biochemistry (111 citations), Nutrition and Dietetics (210 citations) and Hematology (107 citations). J. Schaub has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include René Santer, B Steinmann, Erika Sievers, Klaus Dörner, Reinhard Schneppenheim, Diane E. Suter, K Heyne, R. Ziegler, Andreas Höhn and Michael Krawinkel. Their work appears in journals such as European Journal of Pediatrics, Clinica Chimica Acta, Journal of Inherited Metabolic Disease, Acta Paediatrica and Pediatric Research.

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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