Greg Bial

719 citations
7 papers · 550 · 1 hit paper · h-index 5

Impact in

Papers in

    • Alzheimer's disease research and treatments 3
    • Liver physiology and pathology 1

Greg Bial

6 papers receiving 535 citations

Greg Bial's Hit Papers

Drag-and-drop genome insertion of large sequences without double-strand DNA cleavage using CRISPR-directed integrases 2022 · 340 citations
3400+1+2Years since publication100200300

Peers

Greg Bial
Comparison fields: 5 of 49
  • Hepatology 51
  • Molecular Biology 308
  • Genetics 55
  • Environmental Chemistry 13
  • Pharmacology 13
Replace Liying Du with:
Liying Du China
Luiz Carlos de Caires-Junior Brazil
Suzu Igarashi United States
Regina Reissmann Switzerland
Sandra Dollet France
Maria da Graça Bicalho Brazil
Haijun Zhu China
África Vales Spain
Wei‐Lin Qiu China
Andrew P. Parnassa United States
Greg Bial relative to Liying Du China Liying Du's profile →
Citations per field
00.5×5×10×14.5×
Liying Du · 1×
Citations per year

Countries citing papers authored by Greg Bial

Since Specialization
Citations

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

Fields of papers citing papers by Greg Bial

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1
Drag-and-drop genome insertion of large sequences without double-strand DNA cleavage using CRISPR-directed integrases
Hit paper breakdown →
2022340
2 2014119
3 202039
4 202233
5 202416
6 20233
7 20200

About Greg Bial

Greg Bial is a scholar working on Physiology, Hepatology, Environmental Chemistry, Hematology and Public Health, Environmental and Occupational Health, having authored 7 papers that have together received 550 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (3 papers), Per- and polyfluoroalkyl substances research (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Mosquito-borne diseases and control (1 paper), Xenotransplantation and immune response (1 paper), Liver physiology and pathology (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Hepatology (51 citations), Molecular Biology (308 citations), Genetics (55 citations), Environmental Chemistry (13 citations) and Pharmacology (13 citations). Greg Bial has collaborated with scholars based in United States, Sweden and Brazil. Frequent co-authors include Michael A. Brehm, Branden Tarlow, Elizabeth M. Wilson, Dale L. Greiner, Markus Grompe, John Bial, Lander Foquet, Liang‐I Kang, Hans-Peter Raué and Archana Thomas. Their work appears in journals such as Scientific Reports, Nature Biotechnology, Archives of Toxicology, Proceedings of the National Academy of Sciences and Molecular Psychiatry.

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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