J.P. Müh

1.2k citations
51 papers · 989 · h-index 20

Impact in

Papers in

J.P. Müh

49 papers receiving 887 citations

Peers

J.P. Müh
Comparison fields: 5 of 101
  • Cognitive Neuroscience 443
  • Psychiatry and Mental health 177
  • Genetics 341
  • Clinical Biochemistry 46
  • Hematology 47
Replace Giuseppe Calabrese with:
Giuseppe Calabrese Italy
Hong Pan China
Lifen Yang China
P D’Eufemia Italy
Michael Freilinger Austria
Kihei Maekawa Japan
Amanda Enstrom United States
Irene Pichler Italy
Mauro Celli Italy
Geneviève Bart Finland
J.P. Müh relative to Giuseppe Calabrese Italy Giuseppe Calabrese's profile →
Citations per field
00.5×3.2×
Giuseppe Calabrese · 1×
Citations per year

Countries citing papers authored by J.P. Müh

Since Specialization
Citations

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

Fields of papers citing papers by J.P. Müh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.P. Müh. 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 J.P. Müh. The network helps show where J.P. Müh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199589
2 198182
3 199069
4 198852
5 199650
6 199646
7 200145
8 199545
9 198143
10 198638
11 198929
12 198328
13 198128
14 198826
15
[Modifications in urinary homovanillic acid after ingestion of vitamin B6; functional study in autistic children (author's transl)].
197826
16
Clinical and biological effects of high doses of vitamin B6 and magnesium on autistic children.
198225
17 198622
18 198322
19
Activation of platelets by microfibrils and collagen. A comparative study.
198621
20 198020

About J.P. Müh

J.P. Müh is a scholar working on Cognitive Neuroscience, Molecular Biology, Genetics, Psychiatry and Mental health and Surgery, having authored 51 papers that have together received 989 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (14 papers), Genetics and Neurodevelopmental Disorders (11 papers), Attention Deficit Hyperactivity Disorder (9 papers), Glycosylation and Glycoproteins Research (4 papers), Congenital heart defects research (4 papers), Collagen: Extraction and Characterization (3 papers), Child Nutrition and Feeding Issues (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Cognitive Neuroscience (443 citations), Psychiatry and Mental health (177 citations), Genetics (341 citations), Clinical Biochemistry (46 citations) and Hematology (47 citations). J.P. Müh has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include G Lelord, Catherine Barthélémy, B Garreau, J. Martineau, Enoch Callaway, A. Le Pape, Anne Perrot, Élisabeth Petit, D Sauvage and Roger Kravtzoff. Their work appears in journals such as Journal of Autism and Developmental Disorders, Clinica Chimica Acta, FEBS Letters, Andrologia and Analytical Biochemistry.

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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