Bert Binas

3.1k citations
69 papers · 2.5k · h-index 24

Impact in

    • Lipid metabolism and biosynthesis
    • Peroxisome Proliferator-Activated Receptors
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Metabolism, Diabetes, and Cancer

Papers in

    • Peroxisome Proliferator-Activated Receptors 21
    • Pluripotent Stem Cells Research 11
    • CRISPR and Genetic Engineering 4
    • Cancer-related molecular mechanisms research 4

Bert Binas

67 papers receiving 2.4k citations

Peers

Bert Binas
Comparison fields: 5 of 115
  • Biochemistry 173
  • Molecular Biology 1.5k
  • Physiology 498
  • Clinical Biochemistry 114
  • Oncology 304
Replace Tomohiko Wakayama with:
Tomohiko Wakayama Japan
Anna Ma Gómez-Foix Spain
Veronica Prpić United States
Caleb B. Kallen United States
Shan Jiang China
C. Chris Yun United States
Wen-Pin Yang United States
Alfonso Rojas Mora Spain
Keith T. Schappert Canada
Chih‐Chuan Liang China
Bert Binas relative to Tomohiko Wakayama Japan Tomohiko Wakayama's profile →
Citations per field
00.5×1.5×
Tomohiko Wakayama · 1×
Citations per year

Countries citing papers authored by Bert Binas

Since Specialization
Citations

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

Fields of papers citing papers by Bert Binas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999273
2 2002251
3 1999177
4 2003163
5 2003152
6 2003102
7 2007100
8 200392
9 199591
10 201090
11 201169
12 200058
13 200353
14 200451
15 200347
16 199244
17 200942
18 200640
19 200340
20 200040

About Bert Binas

Bert Binas is a scholar working on Molecular Biology, Cancer Research, Genetics, Immunology and Clinical Biochemistry, having authored 69 papers that have together received 2.5k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (21 papers), Pluripotent Stem Cells Research (11 papers), Animal Genetics and Reproduction (8 papers), Adipose Tissue and Metabolism (7 papers), Cancer Cells and Metastasis (5 papers), Metabolism and Genetic Disorders (5 papers), CRISPR and Genetic Engineering (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Biochemistry (173 citations), Molecular Biology (1.5k citations), Physiology (498 citations), Clinical Biochemistry (114 citations) and Oncology (304 citations). Bert Binas has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Jan F. C. Glatz, Erdal Erol, Ger J. Vusse, Frank G. Schaap, Alejandra Clark, Linda Jane Mullins, Jim McWhir, Michael Bäder, Joost J.F.P. Luiken and Arend Bonen. Their work appears in journals such as The FASEB Journal, PLoS ONE, Journal of Biological Chemistry, Scientific Reports and American Journal of Physiology-Endocrinology and Metabolism.

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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