Badarch Uranchimeg
- Molecular Biology top 10%
- Cancer Research top 1%
- Oncology top 5%
- Immunology top 5%
- Pulmonary and Respiratory Medicine
- Co-authors
- Giovanni MelilloAnnamaria RapisardaRobert H. ShoemakerDominic A. ScudieroEdward A. SausvilleManuela NebuloniAndrea DoniAlberto Mantovani
- Topics
- Cancer, Hypoxia, and Metabolism (12 papers)Angiogenesis and VEGF in Cancer (4 papers)Cancer-related Molecular Pathways (3 papers)
- Cited by
- Cancer ResearchOncologyImmunology
- Partner nations
- United StatesItalyArgentina
In The Last Decade
Badarch Uranchimeg
17 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.2k
- Cancer Research 1.1k
- Oncology 666
- Immunology 486
- Pulmonary and Respiratory Medicine 185
Countries citing papers authored by Badarch Uranchimeg
This map shows the geographic impact of Badarch Uranchimeg'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 Badarch Uranchimeg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Badarch Uranchimeg more than expected).
Fields of papers citing papers by Badarch Uranchimeg
This network shows the impact of papers produced by Badarch Uranchimeg. 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 Badarch Uranchimeg. The network helps show where Badarch Uranchimeg may publish in the future.
Co-authorship network of co-authors of Badarch Uranchimeg
This figure shows the co-authorship network connecting the top 25 collaborators of Badarch Uranchimeg. A scholar is included among the top collaborators of Badarch Uranchimeg 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 Badarch Uranchimeg. Badarch Uranchimeg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 95 | |
| 3 | 30 | |
| 4 | 136 | |
| 5 | 18 | |
| 6 | 33 | |
| 7 | 13 | |
| 8 | 45 | |
| 9 | 10 | |
| 10 | 20 | |
| 11 | Related citationsHypoxic induction of an HIF-1alpha-dependent bFGF autocrine loop drives angiogenesis in human endothelial cells. | 28 |
| 12 | 78 | |
| 13 | 199 | |
| 14 | 162 | |
| 15 | 256 | |
| 16 | Regulation of the Chemokine Receptor CXCR4 by Hypoxiabreakdown → | 671 |
| 17 | Identification of small molecule inhibitors of hypoxia-inducible factor 1 transcriptional activation pathway. | 397 |
About Badarch Uranchimeg
Badarch Uranchimeg is a scholar working on Cancer Research, Biochemistry and Molecular Biology, having authored 17 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (12 papers), Angiogenesis and VEGF in Cancer (4 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (666 citations) and Immunology (486 citations). Badarch Uranchimeg has collaborated with scholars based in United States, Italy and Argentina. Frequent co-authors include Giovanni Melillo, Annamaria Rapisarda, Robert H. Shoemaker, Dominic A. Scudiero, Edward A. Sausville, Manuela Nebuloni, Andrea Doni, Alberto Mantovani, Sergio Bernasconi and Antonio Sica. Their work appears in journals such as The Journal of Experimental Medicine, Blood and JNCI Journal of the National Cancer Institute.
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.