Nyamdelger Sukhbaatar

2.0k citations
14 papers · 1.2k indexed · 1 hit paper · h-index 10
Topics
PI3K/AKT/mTOR signaling in cancer (4 papers)Circular RNAs in diseases (3 papers)Ovarian cancer diagnosis and treatment (2 papers)
Partner nations
AustriaHungaryCzechia

In The Last Decade

Nyamdelger Sukhbaatar

13 papers receiving 1.2k citations

Hit Papers

Correlation of circular RNA abundance with proliferation ...20152026201820222015200400600

Peers

Nyamdelger Sukhbaatar
Comparison fields: 5 of 90
  • Molecular Biology 837
  • Cancer Research 651
  • Immunology 246
  • Oncology 93
  • Physiology 78
Replace Zhijuan Lin with:
Zhijuan Lin China
Yangjing Zhao China
Maryam Hemmatzadeh Iran
Min Yuan China
Lisa Fujimura Japan
Wenjing Sun China
Yi He China
Detlef Kozian Germany
A.E. Greijer Netherlands
Nyamdelger Sukhbaatar relative to Zhijuan Lin China Zhijuan Lin's profile →
Citations per field
00.5×7.5×
Zhijuan Lin · 1×
Citations per year

Countries citing papers authored by Nyamdelger Sukhbaatar

Since Specialization
Citations

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

Fields of papers citing papers by Nyamdelger Sukhbaatar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nyamdelger Sukhbaatar

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 10
3 34
4 4
5 18
6 156
7 8
8 195
9 88
10 34
11 36
12
Correlation of circular RNA abundance with proliferation – exemplified with colorectal and ovarian cancer, idiopathic lung fibrosis and normal human tissuesbreakdown →
603
13 39
14 5

About Nyamdelger Sukhbaatar

Nyamdelger Sukhbaatar is a scholar working on Cancer Research, Reproductive Medicine and Physiology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (4 papers), Circular RNAs in diseases (3 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Cancer Research (651 citations), Molecular Biology (837 citations) and Immunology (246 citations). Nyamdelger Sukhbaatar has collaborated with scholars based in Austria, Hungary and Czechia. Frequent co-authors include Thomas Weichhart, Anna Bachmayr-Heyda, Dietmar Pils, Katharina Auer, Stefanie Aust, Markus Hengstschläger, Agnes T. Reiner, Robert Zeillinger, Ildikó Mesteri and Thomas Bachleitner‐Hofmann. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Scientific Reports and FEBS Letters.

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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