Julia Kühn

854 total citations
18 papers, 220 citations indexed

About

Julia Kühn is a scholar working on Pathology and Forensic Medicine, Nutrition and Dietetics and Physiology. According to data from OpenAlex, Julia Kühn has authored 18 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pathology and Forensic Medicine, 5 papers in Nutrition and Dietetics and 4 papers in Physiology. Recurrent topics in Julia Kühn's work include Vitamin D Research Studies (14 papers), Stress Responses and Cortisol (3 papers) and Animal Nutrition and Physiology (3 papers). Julia Kühn is often cited by papers focused on Vitamin D Research Studies (14 papers), Stress Responses and Cortisol (3 papers) and Animal Nutrition and Physiology (3 papers). Julia Kühn collaborates with scholars based in Germany. Julia Kühn's co-authors include Gabriele I. Stangl, Frank Hirche, Alexandra Schutkowski, Holger Kluge, Corinna Brandsch, N. Mielenz, Stefanie Geißler, Monika Wensch-Dorendorf, Steffen Weigend and Stefan Lorkowski and has published in prestigious journals such as Food Chemistry, Nutrients and Poultry Science.

In The Last Decade

Julia Kühn

17 papers receiving 209 citations

Peers

Julia Kühn
Comparison fields: 5 of 63
  • Pathology and Forensic Medicine 117
  • Nutrition and Dietetics 61
  • Animal Science and Zoology 40
  • Public Health, Environmental and Occupational Health 40
  • Physiology 39
Replace Damien P. Prévéraud with:
Damien P. Prévéraud France
Eleanor Dunlop Australia
Judy Cunningham Australia
J.R. Williams United States
Stéphanie De Vriese Belgium
Anne Kirstine Eriksen Denmark
Casey R. Johnson United States
C Alan Titchenal United States
B. Holub Canada
Alireza Jahan-Mihan United States
Damien P. Prévéraud France View profile →
Citations per field, relative to Julia Kühn
Julia Kühn · 1×
Citations per year, relative to Julia Kühn
Julia Kühn · 1×

Countries citing papers authored by Julia Kühn

Since Specialization
Citations

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

Fields of papers citing papers by Julia Kühn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Kühn

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Kühn. A scholar is included among the top collaborators of Julia Kühn 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 Julia Kühn. Julia Kühn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 2
3 11
4 3
5 5
6 2
7 6
8 6
9 15
10 8
11 18
12 20
13 9
14 19
15 0
16 16
17 29
18 50

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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