Daniela Much

1.2k citations
26 papers · 896 · h-index 18

Impact in

Papers in

Daniela Much

25 papers receiving 866 citations

Peers

Daniela Much
Comparison fields: 5 of 72
  • Obstetrics and Gynecology 198
  • Nutrition and Dietetics 354
  • Pediatrics, Perinatology and Child Health 216
  • Endocrine and Autonomic Systems 62
  • Transportation 42
Replace Ulrike Amann‐Gassner with:
Ulrike Amann‐Gassner Germany
Alfred Aziz Canada
Zachary W. Patinkin United States
Michelle Judge United States
Emily E. Hohman United States
Una MacFadyen United Kingdom
Laura Baena‐García Spain
Anne von Ruesten Germany
Shang Chee Chong Singapore
Francisco J. Torres-Espínola Spain
Daniela Much relative to Ulrike Amann‐Gassner Germany Ulrike Amann‐Gassner's profile →
Citations per field
00.5×1.5×
Ulrike Amann‐Gassner · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011109
2 201491
3 201378
4 200775
5 201471
6 201364
7 201459
8 201642
9 201539
10 201129
11 201127
12 201325
13 201324
14 201224
15 201721
16 201620
17 201320
18 201818
19 201616
20 201715

About Daniela Much

Daniela Much is a scholar working on Nutrition and Dietetics, Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Epidemiology and Endocrine and Autonomic Systems, having authored 26 papers that have together received 896 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (9 papers), Gestational Diabetes Research and Management (6 papers), Birth, Development, and Health (4 papers), Infant Nutrition and Health (3 papers), Body Composition Measurement Techniques (2 papers), Breastfeeding Practices and Influences (2 papers), Regulation of Appetite and Obesity (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Obstetrics and Gynecology (198 citations), Nutrition and Dietetics (354 citations), Pediatrics, Perinatology and Child Health (216 citations), Endocrine and Autonomic Systems (62 citations) and Transportation (42 citations). Daniela Much has collaborated with scholars based in Germany, Netherlands and Australia. Frequent co-authors include Hans Hauner, Ulrike Amann‐Gassner, Stefanie Brunner, B. Bader, Ellen Heimberg, Christiane Vollhardt, Eva‐Maria Sedlmeier, Lynne Stecher, Andreas Beyerlein and Sandra Hummel. Their work appears in journals such as Pediatric Research, European Journal of Clinical Nutrition, Obesity, American Journal of Clinical Nutrition 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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