Christian Schuster

1.4k citations
19 papers · 1.1k indexed · h-index 16
Topics
Remote Sensing in Agriculture (5 papers)Immune Cell Function and Interaction (4 papers)Species Distribution and Climate Change (4 papers)
Partner nations
GermanyAustriaItaly

In The Last Decade

Christian Schuster

19 papers receiving 1.1k citations

Peers

Christian Schuster
Comparison fields: 5 of 107
  • Ecology 380
  • Environmental Engineering 318
  • Global and Planetary Change 238
  • Immunology 180
  • Molecular Biology 168
Replace J. Thiele with:
J. Thiele Germany
Matthew Adams Australia
Kazutaka Murakami Japan
Thomas J. Jackson United Kingdom
Sylvain Bigot France
Minxia Liu China
Robert M. Beaty United States
Aixia Liu China
Helena Eriksson Sweden
Ann H. Williams United States
Christian Schuster relative to J. Thiele Germany J. Thiele's profile →
Citations per field
00.5×3.9×
J. Thiele · 1×
Citations per year

Countries citing papers authored by Christian Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Christian Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Schuster

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Schuster. A scholar is included among the top collaborators of Christian Schuster 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 Christian Schuster. Christian Schuster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 27
2 78
3 151
4 13
5 50
6 129
7 30
8 21
9 2
10 2
11 193
12 16
13 47
14 28
15 66
16 185
17 38
18 26
19 22

About Christian Schuster

Christian Schuster is a scholar working on Ecological Modeling, Dermatology and Immunology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (5 papers), Immune Cell Function and Interaction (4 papers) and Species Distribution and Climate Change (4 papers). The work is most often cited by research in Ecological Modeling (133 citations), Environmental Engineering (318 citations) and Ecology (380 citations). Christian Schuster has collaborated with scholars based in Germany, Austria and Italy. Frequent co-authors include Birgit Kleinschmit, Michael Förster, Steffen Lauf, Christopher Conrad, Veronika Sexl, Valeria Poli, Wolfgang Warsch, Sabine Fajmann, Andrea Hoelbl‐Kovacic and Boris Kovačic. Their work appears in journals such as Blood, Gastroenterology and European Journal of Immunology.

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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