M. Montag‐Sallaz

597 citations
10 papers · 454 indexed · h-index 7
Topics
Neuroscience and Neuropharmacology Research (8 papers)Biochemical Analysis and Sensing Techniques (5 papers)Receptor Mechanisms and Signaling (3 papers)
Partner nations
GermanySwitzerlandFrance

In The Last Decade

M. Montag‐Sallaz

10 papers receiving 450 citations

Peers

M. Montag‐Sallaz
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 288
  • Molecular Biology 150
  • Cognitive Neuroscience 120
  • Developmental Neuroscience 87
  • Cell Biology 56
Replace Akiko Seto‐Ohshima with:
Akiko Seto‐Ohshima Japan
Glenn H. Kageyama United States
Birgit Schwanke Germany
Yue Xin Li Japan
Yusuke Taguchi Japan
Roberta Cesa Italy
Zoya Katarova Hungary
Rajeevkumar Raveendran Nair Norway
Jo Kristian Utvik Norway
Margarethe Bittins Norway
M. Montag‐Sallaz relative to Akiko Seto‐Ohshima Japan Akiko Seto‐Ohshima's profile →
Citations per field
00.5×3.6×
Akiko Seto‐Ohshima · 1×
Citations per year

Countries citing papers authored by M. Montag‐Sallaz

Since Specialization
Citations

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

Fields of papers citing papers by M. Montag‐Sallaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Montag‐Sallaz

This figure shows the co-authorship network connecting the top 25 collaborators of M. Montag‐Sallaz. A scholar is included among the top collaborators of M. Montag‐Sallaz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Montag‐Sallaz. M. Montag‐Sallaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 36
2 6
3 56
4 27
5 57
6 5
7 26
8 127
9 112
10 2

About M. Montag‐Sallaz

M. Montag‐Sallaz is a scholar working on Cellular and Molecular Neuroscience, Neurology and Nutrition and Dietetics, having authored 10 papers that have together received 454 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Biochemical Analysis and Sensing Techniques (5 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Developmental Neuroscience (87 citations), Cellular and Molecular Neuroscience (288 citations) and Sensory Systems (48 citations). M. Montag‐Sallaz has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Dirk Montag, Melitta Schachner, Melitta Schachner, Dietmar Kuhl, Hans Welzl, Nathalie Buonviso, Kerstin Piechotta, Vassilios Beglopoulos, Astrid Rohlmann and Mohiuddin Ahmad. Their work appears in journals such as Molecular and Cellular Biology, Neuroreport and Learning & Memory.

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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