Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Metabolic Profiling Allows Comprehensive Phenotyping of Genetically or Environmentally Modified Plant Systems
2001785 citationsUte Roessner, Alexander Luedemann et al.The Plant Cellprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Thomas Linke'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 Thomas Linke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Linke more than expected).
This network shows the impact of papers produced by Thomas Linke. 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 Thomas Linke. The network helps show where Thomas Linke may publish in the future.
Co-authorship network of co-authors of Thomas Linke
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Linke.
A scholar is included among the top collaborators of Thomas Linke 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 Thomas Linke. Thomas Linke is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Linke, Thomas, et al.. (2005). A Glimpse of Answer Set Programming. publish.UP (University of Potsdam). 19. 12.10 indexed citations
10.
Schaub, Torsten, et al.. (2003). Graphs and colorings for answer set programming with preferences. Fundamenta Informaticae. 57(2). 393–421.2 indexed citations
11.
Linke, Thomas. (2003). Using Nested Logic Programs for Answer Set Programming.. publish.UP (University of Potsdam).4 indexed citations
12.
Schaub, Torsten, et al.. (2003). Graphs and colorings for answer set programming: Abridged Report.. publish.UP (University of Potsdam).6 indexed citations
13.
Linke, Thomas. (2003). Suitable Graphs for Answer Set Programming.. publish.UP (University of Potsdam).3 indexed citations
14.
Linke, Thomas, et al.. (2002). More on noMoRe.. 210–218.1 indexed citations
15.
Linke, Thomas. (2001). Graph theoretical characterization and computation of answer sets. publish.UP (University of Potsdam). 641–646.13 indexed citations
Roessner, Ute, Alexander Luedemann, Oliver Fiehn, et al.. (2001). Metabolic Profiling Allows Comprehensive Phenotyping of Genetically or Environmentally Modified Plant Systems. The Plant Cell. 13(1). 11–29.785 indexed citations breakdown →
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.