Gottfried Weissenböck

3.0k citations
60 papers · 2.3k indexed · h-index 24
Topics
Plant Gene Expression Analysis (17 papers)Phytochemicals and Antioxidant Activities (14 papers)Phytochemistry and Biological Activities (12 papers)
Partner nations
GermanySwitzerlandFrance

In The Last Decade

Gottfried Weissenböck

60 papers receiving 2.2k citations

Peers

Gottfried Weissenböck
Comparison fields: 5 of 89
  • Plant Science 1.5k
  • Molecular Biology 1.4k
  • Biochemistry 487
  • Ecology, Evolution, Behavior and Systematics 336
  • Food Science 241
Replace Helen A. Stafford with:
Helen A. Stafford United States
Bruce A. Bohm Canada
Cathrine Lillo Norway
L.H.W. van der Plas Netherlands
Sonia Philosoph‐Hadas Israel
George J. Wagner United States
Shimon Meir Israel
Filippo Imperato Italy
Catherine Harvala Greece
Enrico Braidot Italy
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Citations per field
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Citations per year

Countries citing papers authored by Gottfried Weissenböck

Since Specialization
Citations

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

Fields of papers citing papers by Gottfried Weissenböck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gottfried Weissenböck

This figure shows the co-authorship network connecting the top 25 collaborators of Gottfried Weissenböck. A scholar is included among the top collaborators of Gottfried Weissenböck 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 Gottfried Weissenböck. Gottfried Weissenböck 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 63
2 85
3 12
4 75
5 31
6 1
7 143
8 20
9 12
10 9
11 22
12 10
13 10
14 20
15 37
16 12
17 12
18 21
19
Flavonoid metabolism during seed germination.
1
20 8

About Gottfried Weissenböck

Gottfried Weissenböck is a scholar working on Biochemistry, Plant Science and Molecular Biology, having authored 60 papers that have together received 2.3k indexed citations. Recurring topics across this work include Plant Gene Expression Analysis (17 papers), Phytochemicals and Antioxidant Activities (14 papers) and Phytochemistry and Biological Activities (12 papers). The work is most often cited by research in Biochemistry (487 citations), Plant Science (1.5k citations) and Molecular Biology (1.4k citations). Gottfried Weissenböck has collaborated with scholars based in Germany, Switzerland and France. Frequent co-authors include Janet F. Bornman, Markus Klein, Markus Veit, Wolfgang Bilger, Enrico Martinoia, Margot Schulz, Dieter Strack, Peter Hutzler, Roland Schmitz and Jörg‐Peter Schnitzler. Their work appears in journals such as Journal of Biological Chemistry, PLANT PHYSIOLOGY and The Plant Journal.

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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