Matthew Liebers

3.5k citations
8 papers · 2.4k indexed · 2 hit papers · h-index 6
Topics
Cancer Genomics and Diagnostics (3 papers)RNA modifications and cancer (2 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers)

In The Last Decade

Matthew Liebers

7 papers receiving 2.4k citations

Hit Papers

GUIDE-seq enables genome-wide profiling of off-target cle...20142026201820222014201450010001.5k

Peers

Matthew Liebers
Comparison fields: 5 of 88
  • Molecular Biology 1.9k
  • Pulmonary and Respiratory Medicine 431
  • Oncology 406
  • Genetics 404
  • Cancer Research 252
Replace Jihye Cha with:
Jihye Cha South Korea
Sandrine Sander Germany
Geulah Livshits United States
Ali Nowrouzi Germany
Rurika Oka Netherlands
Anne Bothmer United States
Laurent Poirot France
Ankit Malhotra United States
Paul Renauer United States
Adrian Schwarzer Germany
Matthew Liebers relative to Jihye Cha South Korea Jihye Cha's profile →
Citations per field
00.5×
Jihye Cha · 1×
Citations per year

Countries citing papers authored by Matthew Liebers

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Liebers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Liebers

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 46
2 13
3 12
4 3
5 142
6 0
7
GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleasesbreakdown →
1582
8
Anchored multiplex PCR for targeted next-generation sequencingbreakdown →
624

About Matthew Liebers

Matthew Liebers is a scholar working on Business and International Management, Cancer Research and Nature and Landscape Conservation, having authored 8 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), RNA modifications and cancer (2 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers). The work is most often cited by research in Business and International Management (198 citations), Aging (136 citations) and Molecular Biology (1.9k citations). Matthew Liebers has collaborated with scholars based in United States, South Korea and Sweden. Frequent co-authors include Zongli Zheng, A. John Iafrate, Long P. Le, J. Keith Joung, Ved V. Topkar, Martin J. Aryee, Nathalie T. Nguyen, Shengdar Q. Tsai, Cyd Khayter and Nicolas Wyvekens. Their work appears in journals such as Nature Medicine, Nature Biotechnology and Cancer Research.

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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