Daniela Much

1.2k citations
30 papers · 990 · h-index 18

Impact in

Papers in

Daniela Much

27 papers receiving 948 citations

Peers

Daniela Much
Comparison fields: 5 of 67
  • Nutrition and Dietetics 420
  • Obstetrics and Gynecology 160
  • Pediatrics, Perinatology and Child Health 204
  • Transportation 49
  • Epidemiology 136
Replace Zachary W. Patinkin with:
Zachary W. Patinkin United States
JM van Raaij Netherlands
Noora Houttu Finland
Kara A. Michels United States
Gerard Vinyes-Parès Switzerland
Yoeju Min United Kingdom
Hendrina A. de Boo New Zealand
Christiane Vollhardt Germany
Stefania Alfonsina Liguori Italy
Julie A. Hilson United States
Daniela Much relative to Zachary W. Patinkin United States Zachary W. Patinkin's profile →
Citations per field
00.5×2×2.8×
Zachary W. Patinkin · 1×
Citations per year

Countries citing papers authored by Daniela Much

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Much

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011111
2 201495
3 201380
4 201475
5 200773
6 201366
7 201461
8 201645
9 201743
10 201537
11 201129
12 201128
13 201327
14 201325
15 201224
16 201722
17 201320
18 201620
19 201618
20 201818

About Daniela Much

Daniela Much is a scholar working on Nutrition and Dietetics, Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology, Epidemiology and Physiology, having authored 30 papers that have together received 990 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (9 papers), Birth, Development, and Health (7 papers), Gestational Diabetes Research and Management (6 papers), Infant Nutrition and Health (5 papers), Breastfeeding Practices and Influences (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Body Composition Measurement Techniques (3 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Nutrition and Dietetics (420 citations), Obstetrics and Gynecology (160 citations), Pediatrics, Perinatology and Child Health (204 citations), Transportation (49 citations) and Epidemiology (136 citations). Daniela Much has collaborated with scholars based in Germany, Netherlands and Finland. Frequent co-authors include Hans Hauner, Ulrike Amann‐Gassner, B. Bader, Ellen Heimberg, Christiane Vollhardt, Eva‐Maria Sedlmeier, Andreas Beyerlein, Sandra Hummel, Anette‐Gabriele Ziegler and Lynne Stecher. Their work appears in journals such as Pediatric Research, European Journal of Clinical Nutrition, Diabetologia, Pediatric Obesity and Food Chemistry.

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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