E.E. Müller

1.6k citations
55 papers · 1.4k · h-index 19

Impact in

Papers in

E.E. Müller

52 papers receiving 1.2k citations

Peers

E.E. Müller
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 840
  • Behavioral Neuroscience 57
  • Endocrine and Autonomic Systems 86
  • Reproductive Medicine 141
  • Cellular and Molecular Neuroscience 196
Replace Akitsugu Masuda with:
Akitsugu Masuda Japan
Lidia Kirsteins United States
Marc L'Hermite Belgium
Marianne K. Steele United States
Alfonso Leal‐Cerro Spain
F. Rohner‐Jeanrenaud Switzerland
Tatsuya Nishioka Japan
K. H. Lu United States
Itai Chowers Israel
France T. Dionne Canada
E.E. Müller relative to Akitsugu Masuda Japan Akitsugu Masuda's profile →
Citations per field
00.5×1.5×2×
Akitsugu Masuda · 1×
Citations per year

Countries citing papers authored by E.E. Müller

Since Specialization
Citations

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

Fields of papers citing papers by E.E. Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987205
2 1986143
3 1974105
4 198857
5 197455
6 197353
7 198053
8 198653
9 198252
10 197551
11 198747
12 198546
13 198736
14 198932
15 197331
16 200730
17 197521
18 198519
19 200619
20 199317

About E.E. Müller

E.E. Müller is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Reproductive Medicine and Psychiatry and Mental health, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (34 papers), Pituitary Gland Disorders and Treatments (16 papers), Regulation of Appetite and Obesity (5 papers), Hypothalamic control of reproductive hormones (4 papers), Neuropeptides and Animal Physiology (3 papers), Alzheimer's disease research and treatments (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (840 citations), Behavioral Neuroscience (57 citations), Endocrine and Autonomic Systems (86 citations), Reproductive Medicine (141 citations) and Cellular and Molecular Neuroscience (196 citations). E.E. Müller has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Vittorio Locatelli, Daniela Cocchi, Carlo Pintor, Ezio Ghigo, Antonio Liuzzi, P. G. Chiodini, LIDUINA BOTALLA, Sandro Loche, Antonio Torsello and FERDINANDO MASSARA. Their work appears in journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism, Neuroendocrinology, European Journal of Endocrinology and Journal of Endocrinology.

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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