E. Rix

22 papers receiving 469 citations

Peers

E. Rix
Comparison fields: 5 of 70
  • Cellular and Molecular Neuroscience 209
  • Cardiology and Cardiovascular Medicine 175
  • Endocrinology, Diabetes and Metabolism 106
  • Endocrine and Autonomic Systems 34
  • Molecular Biology 277
Replace J.P. Richoux with:
J.P. Richoux France
M. Kathleen Donovan United States
Yoshihito Inoue Japan
Wolf Georg Forssmann Germany
M Payet Canada
W. O. Fu Hong Kong
Mari Kawamoto Japan
Lee Gordon United Kingdom
Yoshitaka Isumi Japan
Cristina Vozzi Switzerland
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 198088
2 198775
3 198167
4 198055
5 198155
6 198527
7 198124
8 198017
9 198116
10 198616
11 198015
12 197614
13 198711
14 198910
15 19879
16 19847
17 19856
18 19785
19 19794
20 19823

About E. Rix

E. Rix is a scholar working on Cellular and Molecular Neuroscience, Oncology, Obstetrics and Gynecology, Molecular Biology and Neurology, having authored 23 papers that have together received 526 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Neuroendocrine Tumor Research Advances (4 papers), Renin-Angiotensin System Studies (3 papers), Birth, Development, and Health (3 papers), Neuroblastoma Research and Treatments (3 papers), Receptor Mechanisms and Signaling (3 papers), Peptidase Inhibition and Analysis (3 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (209 citations), Cardiology and Cardiovascular Medicine (175 citations), Endocrinology, Diabetes and Metabolism (106 citations), Endocrine and Autonomic Systems (34 citations) and Molecular Biology (277 citations). E. Rix has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Roland Taugner, Knud Poulsen, Gerhard E. Feurle, E. Hackenthal, Bettina Gabriele Müller, Detlev Ganten, August Schiller, Th. Unger, Robert E. Carraway and Tomas G. M. Hökfelt. Their work appears in journals such as Histochemistry and Cell Biology, Journal of Molecular Medicine, Journal of Histochemistry & Cytochemistry, Journal of Cancer Research and Clinical Oncology and Journal of Clinical Investigation.

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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