Tyler L. Dangerfield

896 citations
22 papers · 594 indexed · 1 hit paper · h-index 12

Tyler L. Dangerfield

22 papers receiving 585 citations

Hit Papers

Structural basis for mismatch surveillance by CRISPR–Cas92022202620232024202250100150

Peers

Tyler L. Dangerfield
Comparison fields: 5 of 76
  • Molecular Biology 401
  • Infectious Diseases 156
  • Genetics 61
  • Biomedical Engineering 52
  • Materials Chemistry 47
Replace Yilan Chen with:
Yilan Chen China
Pablo R. Arantes United States
Aakash Saha United States
Rakhi Rajan United States
Dongchun Ni Switzerland
Victoria Beilsten-Edmands United Kingdom
Zhichen Xu China
Tyler A. Sisley United States
Łukasz Nierzwicki United States
Yasushi Nitanai Japan
Tyler L. Dangerfield relative to Yilan Chen China Yilan Chen's profile →
Citations per field
00.5×10.4×
Yilan Chen · 1×
Citations per year

Countries citing papers authored by Tyler L. Dangerfield

Since Specialization
Citations

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

Fields of papers citing papers by Tyler L. Dangerfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tyler L. Dangerfield. 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 Tyler L. Dangerfield. The network helps show where Tyler L. Dangerfield may publish in the future.

Co-authorship network of co-authors of Tyler L. Dangerfield

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 30
3 12
4 26
5 1
6 7
7
Structural basis for mismatch surveillance by CRISPR–Cas9breakdown →
175
8 10
9 30
10 7
11 8
12 10
13 100
14 14
15 14
16 6
17 54
18 16
19 15
20 3

About Tyler L. Dangerfield

Tyler L. Dangerfield is a scholar working on Infectious Diseases, Molecular Biology and Genetics, having authored 22 papers that have together received 594 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), DNA and Nucleic Acid Chemistry (7 papers) and DNA Repair Mechanisms (7 papers). The work is most often cited by research in Business and International Management (28 citations), Aging (21 citations) and Infectious Diseases (156 citations). Tyler L. Dangerfield has collaborated with scholars based in United States, Austria and United Arab Emirates. Frequent co-authors include Kenneth A. Johnson, David W. Taylor, Jack P. K. Bravo, Grace N. Hibshman, Mu‐Sen Liu, Ryan S. McCool, Andrew D. Ellington, Inyup Paik, Sanchita Bhadra and Yan Zhang. Their work appears in journals such as Nature, Journal of the American Chemical Society and Nucleic Acids 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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