Ute Schweiggert‐Weisz

6.2k citations
89 papers · 4.8k indexed · 3 hit papers · h-index 38
Topics
Proteins in Food Systems (37 papers)Botanical Research and Chemistry (18 papers)Protein Hydrolysis and Bioactive Peptides (15 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaFood Chemistry

In The Last Decade

Ute Schweiggert‐Weisz

84 papers receiving 4.6k citations

Hit Papers

Rice Starch Diversity: Effects on Structural, Morphologic...2012202620162021201220132022100200300400

Peers

Ute Schweiggert‐Weisz
Comparison fields: 5 of 134
  • Food Science 2.5k
  • Nutrition and Dietetics 1.3k
  • Molecular Biology 1.2k
  • Plant Science 1.1k
  • Biochemistry 791
Replace Harshadrai M. Rawel with:
Harshadrai M. Rawel Germany
Peter Eisner Germany
Zhiyong He China
Khizar Hayat China
Zongcai Tu China
Songyi Lin China
Elfadıl E. Babiker Saudi Arabia
Belén Gómez Spain
Xiaonan Sui China
Tara Grauwet Belgium
Ute Schweiggert‐Weisz relative to Harshadrai M. Rawel Germany Harshadrai M. Rawel's profile →
Citations per field
00.5×1.5×1.8×
Harshadrai M. Rawel · 1×
Citations per year

Countries citing papers authored by Ute Schweiggert‐Weisz

Since Specialization
Citations

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

Fields of papers citing papers by Ute Schweiggert‐Weisz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ute Schweiggert‐Weisz. 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 Ute Schweiggert‐Weisz. The network helps show where Ute Schweiggert‐Weisz may publish in the future.

Co-authorship network of co-authors of Ute Schweiggert‐Weisz

This figure shows the co-authorship network connecting the top 25 collaborators of Ute Schweiggert‐Weisz. A scholar is included among the top collaborators of Ute Schweiggert‐Weisz 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 Ute Schweiggert‐Weisz. Ute Schweiggert‐Weisz 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
#WorkIndexed citations
1 1
2 0
3 1
4 1
5 0
6 0
7 0
8 17
9 7
10 10
11 22
12 2
13 8
14 168
15 78
16 65
17 78
18 24
19 24
20 88

About Ute Schweiggert‐Weisz

Ute Schweiggert‐Weisz is a scholar working on Food Science, Horticulture and Biochemistry, having authored 89 papers that have together received 4.8k indexed citations. Recurring topics across this work include Proteins in Food Systems (37 papers), Botanical Research and Chemistry (18 papers) and Protein Hydrolysis and Bioactive Peptides (15 papers). The work is most often cited by research in Food Science (2.5k citations), Biochemistry (791 citations) and Nutrition and Dietetics (1.3k citations). Ute Schweiggert‐Weisz has collaborated with scholars based in Germany, Saudi Arabia and Brazil. Frequent co-authors include Peter Eisner, Reinhold Carle, Andreas Schieber, Raffael Osen, Simone Toelstede, Pia Meinlschmidt, Ali Abas Wani, Isabel Muranyi, Thomas Herfellner and Martina Kerscher. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología 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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