Bert Binas

3.0k citations
67 papers · 2.3k · 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 10
    • Renal and related cancers 5
    • Animal Genetics and Reproduction 9

Bert Binas

65 papers receiving 2.3k citations

Peers

Bert Binas
Comparison fields: 5 of 114
  • Biochemistry 166
  • Molecular Biology 1.5k
  • Physiology 520
  • Clinical Biochemistry 113
  • Oncology 305
Replace Tomohiko Wakayama with:
Tomohiko Wakayama Japan
Shoichi Iseki Japan
Anna M. Gómèz‐Foix Spain
Lee Carpenter United Kingdom
M. Benjamin Hock United States
Caleb B. Kallen United States
Danhong Lu United States
Philippe Rouet France
Shan Jiang China
Brigitte Riederer Germany
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 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999253
2 2002233
3 1999166
4 2003160
5 2003147
6 200399
7 200790
8 201086
9 200386
10 199581
11 201160
12 200053
13 200353
14 200448
15 200344
16 199241
17 200341
18 200040
19 200639
20 200936

About Bert Binas

Bert Binas is a scholar working on Molecular Biology, Genetics, Immunology, Cancer Research and Oncology, having authored 67 papers that have together received 2.3k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (21 papers), Pluripotent Stem Cells Research (10 papers), Animal Genetics and Reproduction (9 papers), Adipose Tissue and Metabolism (8 papers), Cancer-related molecular mechanisms research (6 papers), Cancer Cells and Metastasis (5 papers), Metabolism and Genetic Disorders (5 papers) and Renal and related cancers (5 papers). The work is most often cited by research in Biochemistry (166 citations), Molecular Biology (1.5k citations), Physiology (520 citations), Clinical Biochemistry (113 citations) and Oncology (305 citations). Bert Binas has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Jan F. C. Glatz, Ger J. Vusse, Erdal Erol, Frank G. Schaap, Alejandra Clark, L. J. 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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