E. Rix

23 papers receiving 432 citations

Peers

E. Rix
Comparison fields: 5 of 63
  • Cellular and Molecular Neuroscience 185
  • Cardiology and Cardiovascular Medicine 152
  • Endocrinology, Diabetes and Metabolism 98
  • Endocrine and Autonomic Systems 30
  • Molecular Biology 251
Replace J.P. Richoux with:
J.P. Richoux France
Nina Kishimoto United States
W. O. Fu Hong Kong
Maria Minuth Germany
M Payet Canada
Grażyna Kostrzewa Poland
Ángeles García-Pascual Spain
Gregor K. Fyfe United Kingdom
Azucena L. Alvarez Argentina
Nathalie Coutry France
E. Rix relative to J.P. Richoux France J.P. Richoux's profile →
Citations per field
00.5×1.5×2.2×
J.P. Richoux · 1×
Citations per year

Countries citing papers authored by E. Rix

Since Specialization
Citations

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

Fields of papers citing papers by E. Rix

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside E. Rix, 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 E. Rix Line = papers co-authored together E. Rix links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198071
2 198768
3 198154
4 198152
5 198050
6 198527
7 198123
8 198016
9 198114
10 198014
11 198613
12 198711
13 197611
14 198910
15 19878
16 19847
17 19856
18 19793
19 19783
20
[Freeze-fracture autoradiography (author's transl1].
19783

About E. Rix

E. Rix is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Epidemiology and Neurology, having authored 23 papers that have together received 467 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Neuroendocrine Tumor Research Advances (4 papers), Pregnancy and preeclampsia studies (3 papers), Neuroblastoma Research and Treatments (3 papers), Receptor Mechanisms and Signaling (3 papers), Peptidase Inhibition and Analysis (3 papers), Birth, Development, and Health (3 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (185 citations), Cardiology and Cardiovascular Medicine (152 citations), Endocrinology, Diabetes and Metabolism (98 citations), Endocrine and Autonomic Systems (30 citations) and Molecular Biology (251 citations). E. Rix has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include R. Taugner, Knud Poulsen, Gerhard E. Feurle, E. Hackenthal, Bettina Müller, Detlev Ganten, A. Schiller, Robert E. Carraway, Th. Unger and Maria Minuth. Their work appears in journals such as Histochemistry and Cell Biology, Journal of Molecular Medicine, Journal of Histochemistry & Cytochemistry, European Journal of Endocrinology and Journal of Cancer Research and Clinical Oncology.

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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