Gerda Urbach

1.7k citations
31 papers · 1.5k · h-index 17

Impact in

Papers in

Gerda Urbach

31 papers receiving 1.3k citations

Peers

Gerda Urbach
Comparison fields: 5 of 78
  • Animal Science and Zoology 591
  • Food Science 975
  • Nutrition and Dietetics 326
  • Biochemistry 58
  • Agronomy and Crop Science 99
Replace C. G. Youngs with:
C. G. Youngs Canada
Ana Isabel Nájera Spain
HAROLD P. DUPUY United States
B. H. Kirsop Japan
B. J. F. Hudson United Kingdom
Milton E. Bailey United States
Karl F. Mattil United States
Ana Isabel Carrapiso Spain
H. E. Snyder United States
C.M. Stine United States
Gerda Urbach relative to C. G. Youngs Canada C. G. Youngs's profile →
Citations per field
00.5×2×2.6×
C. G. Youngs · 1×
Citations per year

Countries citing papers authored by Gerda Urbach

Since Specialization
Citations

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

Fields of papers citing papers by Gerda Urbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Gerda Urbach, 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 Gerda Urbach Line = papers co-authored together Gerda Urbach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995286
2 1993243
3 1997214
4 1990126
5 196391
6 197261
7 195945
8 195939
9 199732
10 199731
11 196727
12 195325
13 197624
14 197824
15 195523
16
Does addition of buttermilk affect the organoleptic properties of low-fat Cheddar cheese?
199421
17 198718
18
Headspace volatiles from cold-stored raw milk.
199017
19 197817
20 195817

About Gerda Urbach

Gerda Urbach is a scholar working on Nutrition and Dietetics, Animal Science and Zoology, Food Science, Spectroscopy and Organic Chemistry, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (7 papers), Analytical Chemistry and Chromatography (6 papers), Probiotics and Fermented Foods (6 papers), Fatty Acid Research and Health (6 papers), Edible Oils Quality and Analysis (5 papers), Biochemical Analysis and Sensing Techniques (4 papers), Advanced Chemical Sensor Technologies (4 papers) and Food Chemistry and Fat Analysis (3 papers). The work is most often cited by research in Animal Science and Zoology (591 citations), Food Science (975 citations), Nutrition and Dietetics (326 citations), Biochemistry (58 citations) and Agronomy and Crop Science (99 citations). Gerda Urbach has collaborated with scholars based in Australia, Japan and United Kingdom. Frequent co-authors include W. Stark, W. E. Hillis, David A. Forss, Paul L.H. McSweeney, Harry E. Nürsten, Michael H. Gordon, Jeffery J. Mayes, B. J. Sutherland and John R. Ashes. Their work appears in journals such as Journal of Dairy Research, Nature, Journal of Chromatography A, Australian Journal of Dairy Technology and International Dairy Journal.

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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