Bryan Zeitler

5.2k citations
11 papers · 2.8k indexed · 2 hit papers · h-index 9
Topics
CRISPR and Genetic Engineering (10 papers)Advanced biosensing and bioanalysis techniques (4 papers)Pluripotent Stem Cells Research (3 papers)

In The Last Decade

Bryan Zeitler

11 papers receiving 2.8k citations

Hit Papers

Genetic engineering of human pluripotent cells using TALE...200920262014202020112009250500750

Peers

Bryan Zeitler
Comparison fields: 5 of 87
  • Molecular Biology 2.6k
  • Genetics 709
  • Plant Science 260
  • Cell Biology 181
  • Physiology 158
Replace Natalia Gomez‐Ospina with:
Natalia Gomez‐Ospina United States
Kosuke Yusa United Kingdom
Charles E. Vejnar United States
David E. Paschon United States
Yolanda Santiago United States
Emma W Vaimberg United States
Yannick Doyon Canada
Mudra Hegde United States
Eva K. Brinkman Netherlands
Kornel Labun Norway
Bryan Zeitler relative to Natalia Gomez‐Ospina United States Natalia Gomez‐Ospina's profile →
Citations per field
00.5×8.5×
Natalia Gomez‐Ospina · 1×
Citations per year

Countries citing papers authored by Bryan Zeitler

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Zeitler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan Zeitler

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 34
3 128
4 499
5 1
6 122
7 114
8
Genetic engineering of human pluripotent cells using TALE nucleasesbreakdown →
894
9 186
10
Efficient targeting of expressed and silent genes in human ESCs and iPSCs using zinc-finger nucleasesbreakdown →
810
11 60

About Bryan Zeitler

Bryan Zeitler is a scholar working on Molecular Biology, Genetics and Cell Biology, having authored 11 papers that have together received 2.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Aging (156 citations), Business and International Management (100 citations) and Molecular Biology (2.6k citations). Bryan Zeitler has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Philip D. Gregory, Fyodor D. Urnov, Edward J. Rebar, Jeffrey C. Miller, Xiangdong Meng, Qing Gao, Rudolf Jaenisch, Dirk Hockemeyer, Jennifer M. Cherone and Andrew Lee. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

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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