Giselbert Hauptmann

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

Impact in

Papers in

    • Developmental Biology and Gene Regulation 18
    • Congenital heart defects research 8
    • RNA Research and Splicing 2
    • Angiogenesis and VEGF in Cancer 2
    • Zebrafish Biomedical Research Applications 13

Giselbert Hauptmann

32 papers receiving 2.1k citations

Peers

Giselbert Hauptmann
Comparison fields: 5 of 97
  • Developmental Neuroscience 221
  • Cell Biology 770
  • Molecular Biology 1.4k
  • Behavioral Neuroscience 61
  • Cancer Research 217
Replace Francesco Argenton with:
Francesco Argenton Italy
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Eve Seuntjens Belgium
Nisson Schechter United States
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Brian G. Condie United States
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Giselbert Hauptmann relative to Francesco Argenton Italy Francesco Argenton's profile →
Citations per field
00.5×1.5×
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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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994389
2 2009197
3 2003126
4 2011115
5 2008112
6 2011100
7 200197
8 200094
9 200969
10 200366
11 201165
12 200761
13 200152
14 200251
15 199547
16 199646
17 200745
18 199645
19 200844
20 200940

About Giselbert Hauptmann

Giselbert Hauptmann is a scholar working on Molecular Biology, Cell Biology, Genetics, Cellular and Molecular Neuroscience and Surgery, 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 (13 papers), Congenital heart defects research (8 papers), Animal Genetics and Reproduction (6 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers), RNA Research and Splicing (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Developmental Neuroscience (221 citations), Cell Biology (770 citations), Molecular Biology (1.4k citations), Behavioral Neuroscience (61 citations) and Cancer Research (217 citations). Giselbert Hauptmann has collaborated with scholars based in Sweden, Switzerland and Germany. Frequent co-authors include Thomas Gerster, Iris Söll, Gilbert Lauter, Yihai Cao, Lasse D. Jensen, Wolfgang Driever, Renhai Cao, Philip W. Ingham, Hong Ji and Danfang Zhang. Their work appears in journals such as Development, Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology, Mechanisms of Development and Journal of Neuroscience.

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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