E. Späth‐Schwalbe

54 papers receiving 2.0k citations

Peers

E. Späth‐Schwalbe
Comparison fields: 5 of 103
  • Behavioral Neuroscience 485
  • Endocrine and Autonomic Systems 376
  • Biological Psychiatry 135
  • Experimental and Cognitive Psychology 396
  • Endocrinology, Diabetes and Metabolism 287
Replace Hans K. Meier-Ewert with:
Hans K. Meier-Ewert United States
E Ferrari Italy
Michael Soyka Switzerland
Mira Dalal Germany
Ayrton Custódio Moreira Brazil
Martin Andrassy Germany
F Bernardi Italy
Corinne Collet France
Gordon Ohning United States
Nicola Pannacciulli United States
E. Späth‐Schwalbe relative to Hans K. Meier-Ewert United States Hans K. Meier-Ewert's profile →
Citations per field
00.5×8.0×
Hans K. Meier-Ewert · 1×
Citations per year

Countries citing papers authored by E. Späth‐Schwalbe

Since Specialization
Citations

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

Fields of papers citing papers by E. Späth‐Schwalbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998313
2 1991196
3 1989129
4 2007128
5 1998128
6 1994112
7 199285
8 201179
9 199175
10 199363
11 200061
12 199455
13 201151
14 199650
15 199950
16 198850
17 200242
18 200038
19 201335
20 199434

About E. Späth‐Schwalbe

E. Späth‐Schwalbe is a scholar working on Oncology, Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience, Pulmonary and Respiratory Medicine and Genetics, having authored 57 papers that have together received 2.1k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (11 papers), Adrenal Hormones and Disorders (9 papers), Circadian rhythm and melatonin (8 papers), Sleep and Wakefulness Research (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Behavioral Neuroscience (485 citations), Endocrine and Autonomic Systems (376 citations), Biological Psychiatry (135 citations), Experimental and Cognitive Psychology (396 citations) and Endocrinology, Diabetes and Metabolism (287 citations). E. Späth‐Schwalbe has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Jan Born, Horst L. Fehm, W. Kern, Hubert Schrezenmeier, HL Fehm, Isabelle Genvresse, Stefan R. Bornstein, Franz Porzsolt, Kurt Possinger and J.A. González-Hernández. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Annals of Hematology, Annals of Oncology, Anti-Cancer Drugs and European Journal of Clinical Pharmacology.

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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