Giselbert Hauptmann

2.7k citations
36 papers · 2.3k · h-index 27

Impact in

Papers in

    • Developmental Biology and Gene Regulation 19
    • Congenital heart defects research 10
    • RNA Research and Splicing 2
    • Zebrafish Biomedical Research Applications 15

Giselbert Hauptmann

35 papers receiving 2.2k citations

Peers

Giselbert Hauptmann
Comparison fields: 5 of 98
  • Developmental Neuroscience 241
  • Cell Biology 851
  • Molecular Biology 1.5k
  • Behavioral Neuroscience 63
  • Cancer Research 249
Replace Francesco Argenton with:
Francesco Argenton Italy
Janna Blechman Israel
Paul D. Henion United States
Laird C. Sheldahl United States
Sing-Ping Huang United States
Maria Pia Postiglione United States
Wiebke Herzog Germany
Nisson Schechter United States
Eve Seuntjens Belgium
Brian G. Condie United States
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Citations per field
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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-authors

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

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994396
2 2009203
3 2003131
4 2011124
5 2008121
6 2011104
7 2001104
8 2000100
9 200375
10 200972
11 200770
12 201169
13 200259
14 200157
15 199554
16 199651
17 200748
18 200947
19 199647
20 200845

About Giselbert Hauptmann

Giselbert Hauptmann is a scholar working on Molecular Biology, Cell Biology, Genetics, Cellular and Molecular Neuroscience and Immunology, having authored 36 papers that have together received 2.3k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (19 papers), Zebrafish Biomedical Research Applications (15 papers), Congenital heart defects research (10 papers), Animal Genetics and Reproduction (7 papers), Aquaculture disease management and microbiota (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Developmental Neuroscience (241 citations), Cell Biology (851 citations), Molecular Biology (1.5k citations), Behavioral Neuroscience (63 citations) and Cancer Research (249 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, Hong Ji, Danfang Zhang and Philip W. Ingham. Their work appears in journals such as The Journal of Comparative Neurology, Development, Proceedings of the National Academy of Sciences, Methods and Developmental Dynamics.

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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