Linda C. Schuster

2.1k citations
12 papers · 1.1k indexed · 2 hit papers · h-index 8
Topics
Single-cell and spatial transcriptomics (4 papers)Central Venous Catheters and Hemodialysis (2 papers)Immune cells in cancer (2 papers)
Partner nations
GermanyAustriaAustralia

In The Last Decade

Linda C. Schuster

10 papers receiving 1.1k citations

Hit Papers

Pooled CRISPR screening with single-cell transcriptome re...201720262020202320172020200400600

Peers

Linda C. Schuster
Comparison fields: 5 of 120
  • Molecular Biology 751
  • Immunology 257
  • Oncology 142
  • Cancer Research 119
  • Genetics 98
Replace Judith Knehr with:
Judith Knehr Switzerland
Kenji Kamino Germany
Mike Adam United States
Andreas Marg Germany
Kyle J. Travaglini United States
Deborah Hyink United States
Matthew E. Thornton United States
Sandip Kumar Patel United States
William T. Yewdell United States
Jürgen Schymeinsky Germany
Linda C. Schuster relative to Judith Knehr Switzerland Judith Knehr's profile →
Citations per field
00.5×2.6×
Judith Knehr · 1×
Citations per year

Countries citing papers authored by Linda C. Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Linda C. Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda C. Schuster

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 1
5 64
6
Structural cells are key regulators of organ-specific immune responsesbreakdown →
283
7 51
8 38
9
Pooled CRISPR screening with single-cell transcriptome readoutbreakdown →
655
10 9
11 18
12 9

About Linda C. Schuster

Linda C. Schuster is a scholar working on Applied Microbiology and Biotechnology, Nephrology and Emergency Medical Services, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Central Venous Catheters and Hemodialysis (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Aging (35 citations), Biophysics (84 citations) and Immunology (257 citations). Linda C. Schuster has collaborated with scholars based in Germany, Austria and Australia. Frequent co-authors include Christoph Bock, André F. Rendeiro, Christian Schmidl, Thomas Krausgruber, Donát Alpár, Peter Traxler, Johanna Klughammer, Paul Datlinger, Nikolaus Fortelny and Amelie Nemc. Their work appears in journals such as Nature, Nature Communications and Nature Methods.

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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