Gertrud Schäfer

661 citations
28 papers · 492 indexed · h-index 13
Topics
Immune Cell Function and Interaction (4 papers)Diet and metabolism studies (4 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)
Partner nations
GermanyUnited States

In The Last Decade

Gertrud Schäfer

27 papers receiving 474 citations

Peers

Gertrud Schäfer
Comparison fields: 5 of 70
  • Molecular Biology 130
  • Nutrition and Dietetics 109
  • Epidemiology 97
  • Surgery 96
  • Physiology 85
Replace Franck Galland with:
Franck Galland France
Goldblatt Pj
Annegret Nath Germany
Neetu Sud United States
Rick L. Horetsky United States
Alberto Ochoa France
Pirkka‐Pekka Laurila Finland
Kaori Shigemitsu Japan
Noah Meurs United States
Christof Zimmermann Austria
Gertrud Schäfer relative to Franck Galland France Franck Galland's profile →
Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by Gertrud Schäfer

Since Specialization
Citations

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

Fields of papers citing papers by Gertrud Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gertrud Schäfer

This figure shows the co-authorship network connecting the top 25 collaborators of Gertrud Schäfer. A scholar is included among the top collaborators of Gertrud Schäfer 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 Gertrud Schäfer. Gertrud Schäfer 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 0
2 4
3 8
4 11
5 33
6 72
7 72
8 11
9 35
10 28
11 25
12 16
13
[Incorporation of 15N-glycine and 1-13C-leucine in apolipoprotein B of VLDL and LDL in vivo in healthy probands].
2
14 6
15 13
16 33
17 13
18 9
19 10
20 16

About Gertrud Schäfer

Gertrud Schäfer is a scholar working on Clinical Biochemistry, Physiology and Endocrinology, Diabetes and Metabolism, having authored 28 papers that have together received 492 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Diet and metabolism studies (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Nutrition and Dietetics (109 citations), Hepatology (53 citations) and Clinical Biochemistry (44 citations). Gertrud Schäfer has collaborated with scholars based in Germany and United States. Frequent co-authors include P. Schauder, Giuliano Ramadori, U. Leonhardt, J. Michael Conlon, U. Ritzel, Victor W. Armstrong, H.‐D. Schenk, Roland Nau, Stanislav L. Karsten and Dennis M. Bier. Their work appears in journals such as American Journal of Clinical Nutrition, The Journal of Physiology and Journal of Neurochemistry.

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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