Daniel J. Wiegand

1.9k citations
6 papers · 1.4k indexed · 1 hit paper · h-index 6
Topics
RNA and protein synthesis mechanisms (4 papers)CRISPR and Genetic Engineering (2 papers)Bacteriophages and microbial interactions (2 papers)

In The Last Decade

Daniel J. Wiegand

6 papers receiving 1.4k citations

Hit Papers

Highly efficient Cas9-mediated transcriptional programming201520262018202220152505007501000

Peers

Daniel J. Wiegand
Comparison fields: 5 of 75
  • Molecular Biology 1.3k
  • Genetics 204
  • Aging 122
  • Plant Science 89
  • Business and International Management 74
Replace Lauren R. Polstein with:
Lauren R. Polstein United States
Xiaohui Zhang China
Qunshan Huang China
Samantha J Linder United States
Ravi Alla United States
Quan Ho United States
Martin Del Castillo Velasco‐Herrera United Kingdom
Antonia A. Dominguez United States
Benjamin W. Pruitt United States
Michael C. Bassik United States
Daniel J. Wiegand relative to Lauren R. Polstein United States Lauren R. Polstein's profile →
Citations per field
00.5×1.6×
Lauren R. Polstein · 1×
Citations per year

Countries citing papers authored by Daniel J. Wiegand

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Wiegand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Wiegand. 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 Daniel J. Wiegand. The network helps show where Daniel J. Wiegand may publish in the future.

Co-authorship network of co-authors of Daniel J. Wiegand

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 17
2 77
3 18
4 17
5 64
6
Highly efficient Cas9-mediated transcriptional programmingbreakdown →
1183

About Daniel J. Wiegand

Daniel J. Wiegand is a scholar working on Molecular Biology, Ecology and Genetics, having authored 6 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), CRISPR and Genetic Engineering (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Aging (122 citations), Business and International Management (74 citations) and Molecular Biology (1.3k citations). Daniel J. Wiegand has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include George M. Church, Alejandro Chavez, Samira Kiani, Benjamin W. Pruitt, Christopher D. Guzman, Noah Davidsohn, John Aach, Marcelle Tuttle, Benjamin E. Housden and Norbert Perrimon. Their work appears in journals such as Nature Communications, Nature Biotechnology and Nature Methods.

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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