Toni Cathomen

156 papers receiving 6.8k citations

Hit Papers

A novel TALE nuclease scaffold enables high genome editing activity in combination with low toxicity 2011 · 554 citations
5542011202620162021100200300400500

Peers

Toni Cathomen
Comparison fields: 5 of 118
  • Business and International Management 386
  • Genetics 2.2k
  • Molecular Biology 5.3k
  • Aging 134
  • Virology 307
Replace Michael C. Holmes with:
Michael C. Holmes United States
Rasmus O. Bak Denmark
Fuguo Jiang United States
Thomas J. Cradick United States
Claudio Mussolino Germany
Sang‐Kyung Lee South Korea
Premlata Shankar United States
Luhan Yang United States
Jacob Giehm Mikkelsen Denmark
Paula M. Cannon United States
Toni Cathomen relative to Michael C. Holmes United States Michael C. Holmes's profile →
Citations per field
00.5×1.5×
Michael C. Holmes · 1×
Citations per year

Countries citing papers authored by Toni Cathomen

Since Specialization
Citations

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

Fields of papers citing papers by Toni Cathomen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Toni Cathomen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Toni Cathomen Line = papers co-authored together Toni Cathomen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20242
4 202421
5 20248
6 20246
7 20249
8 20238
9 20238
10 20212
11 20205
12 202013
13 202021
14 201715
15 2014112
16 2012125
17 201245
18 200922
19 200920
20 2003123

About Toni Cathomen

Toni Cathomen is a scholar working on Business and International Management, Virology, Genetics, Molecular Biology and Aging, having authored 161 papers that have together received 7.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (109 papers), Virus-based gene therapy research (48 papers), RNA Interference and Gene Delivery (41 papers), CAR-T cell therapy research (28 papers), Advanced biosensing and bioanalysis techniques (24 papers), Pluripotent Stem Cells Research (20 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers) and Immune Cell Function and Interaction (12 papers). The work is most often cited by research in Business and International Management (386 citations), Genetics (2.2k citations), Molecular Biology (5.3k citations), Aging (134 citations) and Virology (307 citations). Toni Cathomen has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Claudio Mussolino, Tatjana I. Cornu, J. Keith Joung, Roberto Cattaneo, Thomas Lahaye, Robert Morbitzer, Matthew D. Weitzman, David J. Segal, Hussein Y. Naim and Vincent Brondani. Their work appears in journals such as Molecular Therapy, Nucleic Acids Research, Human Gene Therapy, Scientific Reports and Journal of Virology.

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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