Maria Yang

2.5k citations
29 papers · 1.6k · h-index 22

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 7
    • Metabolism, Diabetes, and Cancer 3
    • Glycosylation and Glycoproteins Research 2
    • Retinoids in leukemia and cellular processes 2
    • Adipose Tissue and Metabolism 5

Maria Yang

29 papers receiving 1.5k citations

Peers

Maria Yang
Comparison fields: 5 of 102
  • Biotechnology 196
  • Radiology, Nuclear Medicine and Imaging 332
  • Molecular Biology 913
  • Virology 58
  • Genetics 254
Replace Thierry Wurch with:
Thierry Wurch France
Louise Gerber United States
Sabine Geisse Switzerland
Kazukiyo Onodera Japan
Luc G. Berthiaume Canada
Gustavo A. Nores Argentina
Joost Van Durme Belgium
Kouki Kitagawa Japan
Gerardo Z. Lederkremer Israel
Mamoru Mizuno Japan
Maria Yang relative to Thierry Wurch France Thierry Wurch's profile →
Citations per field
00.5×5.8×
Thierry Wurch · 1×
Citations per year

Countries citing papers authored by Maria Yang

Since Specialization
Citations

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

Fields of papers citing papers by Maria Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992263
2 1983177
3 1999134
4 1981116
5 199197
6 201086
7 200979
8 199764
9 198862
10 198550
11 199148
12 201244
13 198943
14 200337
15 200735
16 199028
17 200726
18 200823
19 198822
20 200722

About Maria Yang

Maria Yang is a scholar working on Molecular Biology, Physiology, Genetics, Biotechnology and Oncology, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (7 papers), Adipose Tissue and Metabolism (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Diabetes and associated disorders (2 papers), Design Education and Practice (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Biotechnology (196 citations), Radiology, Nuclear Medicine and Imaging (332 citations), Molecular Biology (913 citations), Virology (58 citations) and Genetics (254 citations). Maria Yang has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Dennis J. Henner, Alessandro Galizzi, Robert F. Kelley, Thomas D. Sargent, James C. Bonner, Linda L. Jagodzinski, Keith T. Demarest, Patricia D. Pelton, Dennis J. Pillion and Anand M. Gautam. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Biochemical and Biophysical Research Communications, Journal of Medicinal Chemistry, Nucleic Acids Research and Nature Biotechnology.

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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