Hubert Schaller

8.5k citations
130 papers · 6.1k · h-index 42

Impact in

Papers in

    • Plant biochemistry and biosynthesis 35
    • Plant Reproductive Biology 24
    • Receptor Mechanisms and Signaling 12
    • Plant Molecular Biology Research 17

Hubert Schaller

128 papers receiving 6.0k citations

Peers

Hubert Schaller
Comparison fields: 5 of 137
  • Paleontology 781
  • Biochemistry 700
  • Molecular Biology 4.2k
  • Plant Science 1.9k
  • Biochemistry 255
Replace Steven J. Neill with:
Steven J. Neill United Kingdom
Radhika Desikan United Kingdom
Carol MacKintosh United Kingdom
Klaas Vandepoele Belgium
Michael R. Sussman United States
Patrick Giavalisco Germany
Malcolm Ward United Kingdom
Katsuhiro Konno Japan
Jean‐Pierre Renou France
Makoto Ojika Japan
Hubert Schaller relative to Steven J. Neill United Kingdom Steven J. Neill's profile →
Citations per field
00.5×10.6×
Steven J. Neill · 1×
Citations per year

Countries citing papers authored by Hubert Schaller

Since Specialization
Citations

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

Fields of papers citing papers by Hubert Schaller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972368
2 2007319
3 2003306
4 2009229
5 2000203
6 1973202
7 1995185
8 2009170
9 2006155
10 2001151
11 2004145
12 2009125
13 1981108
14 2002106
15 2012105
16 2001103
17 200893
18 200292
19 200589
20 200685

About Hubert Schaller

Hubert Schaller is a scholar working on Molecular Biology, Plant Science, Paleontology, Biochemistry and Cellular and Molecular Neuroscience, having authored 130 papers that have together received 6.1k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (35 papers), Plant Reproductive Biology (24 papers), Marine Invertebrate Physiology and Ecology (21 papers), Lipid metabolism and biosynthesis (18 papers), Plant Molecular Biology Research (17 papers), Receptor Mechanisms and Signaling (12 papers), Cholesterol and Lipid Metabolism (11 papers) and Antioxidant Activity and Oxidative Stress (10 papers). The work is most often cited by research in Paleontology (781 citations), Biochemistry (700 citations), Molecular Biology (4.2k citations), Plant Science (1.9k citations) and Biochemistry (255 citations). Hubert Schaller has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Pierre Benveniste, Hans R. Bode, Danièle Werck‐Reichhart, Charles N. David, Ekkhart Trenkner, Alfred Gierer, Stefan Berking, Frank W. Pfrieger, Katja Nieweg and Heinz Bodenmüller. Their work appears in journals such as PLANT PHYSIOLOGY, Development Genes and Evolution, The Plant Journal, Planta and PLoS ONE.

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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