M. Barbiers

419 citations
10 papers · 364 · h-index 8

Impact in

Papers in

M. Barbiers

10 papers receiving 357 citations

Peers

M. Barbiers
Comparison fields: 5 of 53
  • Gastroenterology 176
  • Cellular and Molecular Neuroscience 210
  • Endocrine and Autonomic Systems 71
  • Physiology 150
  • Pharmacy 23
Replace J Gonella with:
J Gonella France
F. Kostolanska Canada
R. Edin Sweden
T Neya Japan
W. R. Ewart United Kingdom
H Abrahamsson Sweden
L. Oosterbosch Belgium
Henry P. Parkman United States
Z.-M. Song Australia
H Hölzer United States
M. Barbiers relative to J Gonella France J Gonella's profile →
Citations per field
00.5×
J Gonella · 1×
Citations per year

Countries citing papers authored by M. Barbiers

Since Specialization
Citations

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

Fields of papers citing papers by M. Barbiers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside M. Barbiers, 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 M. Barbiers Line = papers co-authored together M. Barbiers links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1994105
2 199464
3 199355
4 199535
5 199334
6 199430
7 199324
8
Neurons with nitric oxide synthase immunoreactivity in the porcine and human small intestine
19938
9
Immunohistochemical visualization of the nervous system in the porcine small intestine using antisera raised against the cytoskeletal proteins MAP1 and MAP2, in combination with neuropeptide immunocytochemistry.
19917
10
Topographical distribution and morphological features of neurons with nitric oxide synthase-immunoreactivity in the porcine and human colon
19932

About M. Barbiers

M. Barbiers is a scholar working on Cellular and Molecular Neuroscience, Physiology, Surgery, Endocrine and Autonomic Systems and Gastroenterology, having authored 10 papers that have together received 364 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Nitric Oxide and Endothelin Effects (4 papers), Neuroscience of respiration and sleep (3 papers), Gastrointestinal motility and disorders (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper), Congenital heart defects research (1 paper), Digestive system and related health (1 paper) and Diet and metabolism studies (1 paper). The work is most often cited by research in Gastroenterology (176 citations), Cellular and Molecular Neuroscience (210 citations), Endocrine and Autonomic Systems (71 citations), Physiology (150 citations) and Pharmacy (23 citations). M. Barbiers has collaborated with scholars based in Belgium, Austria and Germany. Frequent co-authors include Jean‐Pierre Timmermans, Dirk Adriaensen, Bernd Mayer, M.H.A. de Groodt-Lasseel, D.W. Scheuermann, W Stach, Johannes Bogers, Éva Fekete, Eric A. Van Marck and E. Van Marck. Their work appears in journals such as Cell and Tissue Research, Histochemistry and Cell Biology, Microscopy Research and Technique, Annals of Anatomy - Anatomischer Anzeiger and PubMed.

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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