Eckard Weber

4.4k citations
86 papers · 3.7k · h-index 37

Impact in

Papers in

Eckard Weber

86 papers receiving 3.5k citations

Peers

Eckard Weber
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 2.3k
  • Behavioral Neuroscience 393
  • Endocrine and Autonomic Systems 525
  • Reproductive Medicine 303
  • Physiology 831
Replace Masaomi Miyamoto with:
Masaomi Miyamoto Japan
E. Costa United States
S. Consolo Italy
Graeme R. Martin United Kingdom
R.G. Hill United Kingdom
Bradley V. Clineschmidt United States
Kelvin W. Gee United States
Jorge D. Brioni United States
Aline Dumuis France
S. Bourgoin France
Eckard Weber relative to Masaomi Miyamoto Japan Masaomi Miyamoto's profile →
Citations per field
00.5×2.6×
Masaomi Miyamoto · 1×
Citations per year

Countries citing papers authored by Eckard Weber

Since Specialization
Citations

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

Fields of papers citing papers by Eckard Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008256
2 1982205
3 1986186
4 1988157
5 1981154
6 1982104
7 199599
8 198396
9 199393
10 199389
11 198389
12 200178
13 197876
14 199570
15 198270
16 199868
17 199763
18 197962
19 198562
20 198359

About Eckard Weber

Eckard Weber is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Organic Chemistry, Physiology and Social Psychology, having authored 86 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (36 papers), Receptor Mechanisms and Signaling (33 papers), Neuroscience and Neuropharmacology Research (28 papers), Pharmacological Receptor Mechanisms and Effects (20 papers), Pain Mechanisms and Treatments (14 papers), Neuroendocrine regulation and behavior (10 papers), Hypothalamic control of reproductive hormones (8 papers) and Synthesis and Biological Evaluation (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Behavioral Neuroscience (393 citations), Endocrine and Autonomic Systems (525 citations), Reproductive Medicine (303 citations) and Physiology (831 citations). Eckard Weber has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jack D. Barchas, Christopher J. Evans, John F. W. Keana, Kevin A. Roth, Kabirullah Lutfy, Mark S. Sonders, Sui Xiong Cai, Rainer de Martin, Richard M. Woodward and Karl Heinz Voigt. Their work appears in journals such as Brain Research, Journal of Medicinal Chemistry, Biochemical and Biophysical Research Communications, Bioorganic & Medicinal Chemistry Letters and Life Sciences.

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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