Ralf Paschke

3.1k citations
35 papers · 1.4k · h-index 25

Impact in

Papers in

Ralf Paschke

34 papers receiving 1.4k citations

Peers

Ralf Paschke
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 477
  • Cellular and Molecular Neuroscience 361
  • Reproductive Medicine 136
  • Molecular Biology 943
  • Physiology 271
Replace Ulrich Hilgenfeldt with:
Ulrich Hilgenfeldt Germany
Eugene Kaji United States
Jin Ishizuka United States
Masafumi Haji Japan
Kenji Kuwasako Japan
Wolfgang Höppner Germany
J Bouhnik France
Kuniko Horie Japan
Wanda Dolci Switzerland
Daigaku Uchida Japan
Ralf Paschke relative to Ulrich Hilgenfeldt Germany Ulrich Hilgenfeldt's profile →
Citations per field
00.5×
Ulrich Hilgenfeldt · 1×
Citations per year

Countries citing papers authored by Ralf Paschke

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Paschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006309
2 200388
3 200684
4 200670
5 199865
6 200752
7 200651
8 200649
9 200944
10 199943
11 200842
12 200842
13 201041
14 200139
15 200436
16 200633
17 200330
18 200730
19 200429
20 200528

About Ralf Paschke

Ralf Paschke is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 35 papers that have together received 1.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (23 papers), Neuropeptides and Animal Physiology (13 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Thyroid Disorders and Treatments (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Hypothalamic control of reproductive hormones (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (477 citations), Cellular and Molecular Neuroscience (361 citations), Reproductive Medicine (136 citations), Molecular Biology (943 citations) and Physiology (271 citations). Ralf Paschke has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Matthias Blüher, Susanne Neumann, Holger Jaeschke, Gunnar Kleinau, Sandra Mueller, Gerd Krause, Michael P. Schön, Volker Adams, Andreas Oberbach and Josef Niebauer. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Thyroid, PLoS ONE and Trends in Endocrinology and Metabolism.

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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