Giselbert Hauptmann

2.7k citations
33 papers · 2.1k indexed · h-index 26

Giselbert Hauptmann

33 papers receiving 2.1k citations

Peers

Giselbert Hauptmann
Comparison fields: 5 of 97
  • Developmental Neuroscience 225
  • Cell Biology 828
  • Molecular Biology 1.5k
  • Behavioral Neuroscience 61
  • Cancer Research 241
Replace Laird C. Sheldahl with:
Laird C. Sheldahl United States
Francesco Argenton Italy
Janna Blechman Israel
Philip Grant United States
Paul D. Henion United States
Sing-Ping Huang United States
Michael Rickmann Germany
Eve Seuntjens Belgium
Alar Karis Estonia
Nisson Schechter United States
Giselbert Hauptmann relative to Laird C. Sheldahl United States Laird C. Sheldahl's profile →
Citations per field
00.5×2.7×
Laird C. Sheldahl · 1×
Citations per year

Countries citing papers authored by Giselbert Hauptmann

Since Specialization
Citations

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

Fields of papers citing papers by Giselbert Hauptmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20192
2 20164
3 201226
4 201199
5 2011115
6 201027
7 200968
8 2008112
9 200844
10 200744
11 200759
12 2003126
13 200251
14 200152
15 200034
16 200094
17 199646
18 199624
19 199547
20 198923

About Giselbert Hauptmann

Giselbert Hauptmann is a scholar working on Cell Biology, Behavioral Neuroscience, Developmental Neuroscience, Molecular Biology and Genetics, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (18 papers), Zebrafish Biomedical Research Applications (15 papers), Congenital heart defects research (10 papers), Animal Genetics and Reproduction (7 papers), Advanced biosensing and bioanalysis techniques (3 papers), Stress Responses and Cortisol (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Developmental Neuroscience (225 citations), Cell Biology (828 citations), Molecular Biology (1.5k citations), Behavioral Neuroscience (61 citations) and Cancer Research (241 citations). Giselbert Hauptmann has collaborated with scholars based in Sweden, Switzerland and Germany. Frequent co-authors include Thomas Gerster, Iris Söll, Gilbert Lauter, Lasse D. Jensen, Yihai Cao, Wolfgang Driever, Renhai Cao, Pegah Rouhi, Philip W. Ingham and Danfang Zhang. Their work appears in journals such as The Journal of Comparative Neurology, Development, Proceedings of the National Academy of Sciences, Journal of Neuroscience and Development Genes and Evolution.

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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