Zharko Daniloski

2.0k citations
12 papers · 1.1k indexed · 1 hit paper · h-index 12

Zharko Daniloski

12 papers receiving 1.1k citations

Hit Papers

Massively parallel Cas13 screens reveal principles for gu...272202020262022202450100150200250

Peers

Zharko Daniloski
Comparison fields: 5 of 81
  • Infectious Diseases 402
  • Aging 21
  • Business and International Management 22
  • Molecular Biology 721
  • Immunology 137
Replace Hans‐Hermann Wessels with:
Hans‐Hermann Wessels United States
Kathleen Börner Germany
Jennifer Oki United States
Moira A. McMahon United States
Ferdy R. van Diemen Netherlands
Erik Müllers Sweden
Klara Höning Germany
Tasuku Kitada United States
Eugen Buehler United States
Shiyou Zhu China
Zharko Daniloski relative to Hans‐Hermann Wessels United States Hans‐Hermann Wessels's profile →
Citations per field
00.5×1.6×
Hans‐Hermann Wessels · 1×
Citations per year

Countries citing papers authored by Zharko Daniloski

Since Specialization
Citations

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

Fields of papers citing papers by Zharko Daniloski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 202384
2 2022111
3 202211
4 202117
5 2021149
6 202130
7
Massively parallel Cas13 screens reveal principles for guide RNA designbreakdown →
2020272
8 2020348
9 202041
10 201921
11 201725
12 201334

About Zharko Daniloski

Zharko Daniloski is a scholar working on Aging, Infectious Diseases and Molecular Biology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Single-cell and spatial transcriptomics (3 papers), RNA and protein synthesis mechanisms (3 papers), Telomeres, Telomerase, and Senescence (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Genomics and Chromatin Dynamics (2 papers) and RNA modifications and cancer (1 paper). The work is most often cited by research in Infectious Diseases (402 citations), Aging (21 citations) and Business and International Management (22 citations). Zharko Daniloski has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Neville E. Sanjana, Mateusz Legut, Hans‐Hermann Wessels, Benjamin R. tenOever, Tristan X. Jordan, Alejandro Méndez‐Mancilla, Lu Lu, Eleni P. Mimitou, Peter Smibert and Tuuli Lappalainen. Their work appears in journals such as Nature, Science and Cell.

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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