Na Yang

5.7k total citations · 3 hit papers
39 papers, 4.7k citations indexed

About

Na Yang is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Na Yang has authored 39 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Genetics and 5 papers in Surgery. Recurrent topics in Na Yang's work include Estrogen and related hormone effects (15 papers), Reproductive System and Pregnancy (3 papers) and Retinoids in leukemia and cellular processes (3 papers). Na Yang is often cited by papers focused on Estrogen and related hormone effects (15 papers), Reproductive System and Pregnancy (3 papers) and Retinoids in leukemia and cellular processes (3 papers). Na Yang collaborates with scholars based in United States, China and Australia. Na Yang's co-authors include Ronald M. Evans, Roland Schüle, Steven A. Kliewer, Jack Bolado, Lynn J. Ransone, Inder M. Verma, Pundi N. Rangarajan, Vincent Giguère, Andrew L. Glasebrook and Murali Venugopalan and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Na Yang

38 papers receiving 4.6k citations

Hit Papers

Functional antagonism between oncoprotein c-Jun and the g... 1988 2026 2000 2013 1990 1988 2017 250 500 750 1000

Peers

Na Yang
Comparison fields: 5 of 124
  • Molecular Biology 2.5k
  • Genetics 2.2k
  • Oncology 782
  • Endocrinology, Diabetes and Metabolism 680
  • Immunology 580
Replace Jeffrey N. Miner with:
Jeffrey N. Miner United States
Masahide Ohmichi Japan
John D. McNeish United States
Michael Cox Canada
Thomas J. Schmidt United States
Steven K. Nordeen United States
Lei Wei United States
Stephan Kemp Netherlands
Timothy C. Burn United States
Barbara A. Spengler United States
Jeffrey N. Miner United States View profile →
Citations per field, relative to Na Yang
Na Yang · 1×
Citations per year, relative to Na Yang
Na Yang · 1×

Countries citing papers authored by Na Yang

Since Specialization
Citations

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

Fields of papers citing papers by Na Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Yang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 1
4 12
5 65
6 10
7 2
8 16
9 18
10 15
11
Field-Free Isolation of Exosomes from Extracellular Vesicles by Microfluidic Viscoelastic Flows breakdown →
412
12 95
13 1
14 14
15 51
16 66
17 102
18 20
19
Functional antagonism between oncoprotein c-Jun and the glucocorticoid receptor breakdown →
1096
20
Identification of a new class of steroid hormone receptors breakdown →
736

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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