Paul Datlinger

4.2k citations
14 papers · 1.8k indexed · 3 hit papers · h-index 11

Impact in

Papers in

Paul Datlinger

14 papers receiving 1.8k citations

Hit Papers

High-content CRISPR screening 2022 · 170 citations
1702017202620202023200400600

Peers

Paul Datlinger
Comparison fields: 5 of 100
  • Aging 71
  • Biophysics 142
  • Molecular Biology 1.6k
  • Cancer Research 256
  • Business and International Management 31
Replace Charles P. Fulco with:
Charles P. Fulco United States
Eugenio Marco United States
Min Y. Cho United States
Magda Bienko Sweden
David Lara‐Astiaso Spain
Bastiaan Spanjaard Germany
Ryan A. Pak United States
Meena Subramaniam United States
Olivia S. Rissland United States
Sandy Klemm United States
Paul Datlinger relative to Charles P. Fulco United States Charles P. Fulco's profile →
Citations per field
00.5×10×15×20×
Charles P. Fulco · 1×
Citations per year

Countries citing papers authored by Paul Datlinger

Since Specialization
Citations

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

Fields of papers citing papers by Paul Datlinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Paul Datlinger, 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 Paul Datlinger Line = papers co-authored together Paul Datlinger links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20253
2 20241
3
High-content CRISPR screening
Hit paper breakdown →
2022276
4
High-content CRISPR screening
Hit paper breakdown →
2022170
5 2021147
6 202010
7 201917
8
Pooled CRISPR screening with single-cell transcriptome readout
Hit paper breakdown →
2017655
9 201647
10 201617
11 201521
12 2015317
13 20156
14 2015140

About Paul Datlinger

Paul Datlinger is a scholar working on Aging, Biophysics, Molecular Biology, Genetics and Oncology, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Single-cell and spatial transcriptomics (5 papers), CRISPR and Genetic Engineering (5 papers), Genetic Syndromes and Imprinting (4 papers), Cancer-related gene regulation (4 papers), CAR-T cell therapy research (2 papers), RNA and protein synthesis mechanisms (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Aging (71 citations), Biophysics (142 citations), Molecular Biology (1.6k citations), Cancer Research (256 citations) and Business and International Management (31 citations). Paul Datlinger has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Christoph Bock, Johanna Klughammer, André F. Rendeiro, Thomas Krausgruber, Christian Schmidl, Peter Traxler, Donát Alpár, Linda C. Schuster, Nathan C. Sheffield and Andreas Schönegger. Their work appears in journals such as Nature Methods, Cell Reports, Nature Reviews Methods Primers, Scientific Reports and Human Molecular Genetics.

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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