Dietmar Schmucker

3.9k citations
34 papers · 2.9k indexed · 2 hit papers · h-index 24
Topics
Neurobiology and Insect Physiology Research (17 papers)Axon Guidance and Neuronal Signaling (16 papers)Invertebrate Immune Response Mechanisms (6 papers)

In The Last Decade

Dietmar Schmucker

34 papers receiving 2.9k citations

Hit Papers

Drosophila Dscam Is an Axon Guidance Receptor Exhibiting ...200020262008201720002005250500750

Peers

Dietmar Schmucker
Comparison fields: 5 of 106
  • Molecular Biology 1.6k
  • Cellular and Molecular Neuroscience 1.2k
  • Immunology 836
  • Cell Biology 441
  • Insect Science 361
Replace Fiona L. Watson with:
Fiona L. Watson United Kingdom
Ruth Steward United States
Takeshi Awasaki Japan
Rafael Cantera Sweden
Ward F. Odenwald United States
Ryu Ueda Japan
Alain Vincent France
Edward Giniger United States
Shu Kondo Japan
Robert B. Beckstead United States
Dietmar Schmucker relative to Fiona L. Watson United Kingdom Fiona L. Watson's profile →
Citations per field
00.5×1.5×2.5×
Fiona L. Watson · 1×
Citations per year

Countries citing papers authored by Dietmar Schmucker

Since Specialization
Citations

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

Fields of papers citing papers by Dietmar Schmucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dietmar Schmucker

This figure shows the co-authorship network connecting the top 25 collaborators of Dietmar Schmucker. A scholar is included among the top collaborators of Dietmar Schmucker 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 Dietmar Schmucker. Dietmar Schmucker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 24
3 12
4 13
5 28
6 22
7 31
8 57
9 23
10 54
11 24
12 139
13 127
14 207
15 1
16 155
17
Extensive Diversity of Ig-Superfamily Proteins in the Immune System of Insectsbreakdown →
522
18 7
19 86
20 53

About Dietmar Schmucker

Dietmar Schmucker is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Structural Biology, having authored 34 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (17 papers), Axon Guidance and Neuronal Signaling (16 papers) and Invertebrate Immune Response Mechanisms (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Aging (84 citations) and Immunology (836 citations). Dietmar Schmucker has collaborated with scholars based in United States, Belgium and Germany. Frequent co-authors include S Lawrence Zipursky, Masahiro Kondo, James C. Clemens, Jian Xiao, Jack E. Dixon, Huidy Shu, Marco Muda, Carolyn A. Worby, Fiona L. Watson and Brian Chen. Their work appears in journals such as Nature, Science and Cell.

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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