Cong Ran

471 total citations
10 papers, 358 citations indexed

About

Cong Ran is a scholar working on Cancer Research, Molecular Biology and Genetics. According to data from OpenAlex, Cong Ran has authored 10 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Cong Ran's work include Glioma Diagnosis and Treatment (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Cancer-related molecular mechanisms research (2 papers). Cong Ran is often cited by papers focused on Glioma Diagnosis and Treatment (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Cancer-related molecular mechanisms research (2 papers). Cong Ran collaborates with scholars based in United States, Netherlands and Lebanon. Cong Ran's co-authors include Mark A. Israel, Yasuyuki Hitoshi, Edward Li, Jing Li, Shusil K. Pandit, Alain de Bruin, Chang‐Gong Liu, Whitney M. Cleghorn, Hui-Zi Chen and Hasan Siddiqui and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Chemical Physics and PLoS ONE.

In The Last Decade

Cong Ran

10 papers receiving 354 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cong Ran United States 8 216 113 100 76 32 10 358
Zanina Grieg Norway 10 244 1.1× 92 0.8× 78 0.8× 99 1.3× 48 1.5× 11 408
Brock Armstrong United States 7 204 0.9× 85 0.8× 61 0.6× 70 0.9× 44 1.4× 8 337
Daniel M. Treisman United States 7 166 0.8× 87 0.8× 124 1.2× 122 1.6× 20 0.6× 9 315
Buğra Tügertimur United States 9 228 1.1× 181 1.6× 132 1.3× 86 1.1× 39 1.2× 17 482
Fangling Cheng China 9 153 0.7× 96 0.8× 68 0.7× 87 1.1× 37 1.2× 18 339
Cláudia C. Faria Portugal 13 206 1.0× 81 0.7× 60 0.6× 175 2.3× 24 0.8× 42 429
Matthew McCord United States 7 125 0.6× 72 0.6× 50 0.5× 130 1.7× 20 0.6× 18 307
Keene L. Abbott United States 5 226 1.0× 87 0.8× 45 0.5× 80 1.1× 61 1.9× 7 358
Camilla Holmlund Sweden 10 301 1.4× 60 0.5× 100 1.0× 59 0.8× 37 1.2× 16 402
Reem Malek United States 10 296 1.4× 99 0.9× 98 1.0× 24 0.3× 20 0.6× 14 413

Countries citing papers authored by Cong Ran

Since Specialization
Citations

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

Fields of papers citing papers by Cong Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Ran

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

All Works

10 of 10 papers shown
1.
Havrda, Matthew C., Myung Chang Lee, Linton T. Evans, et al.. (2019). Characterizing the heterogeneity in 5-aminolevulinic acid–induced fluorescence in glioblastoma. Journal of neurosurgery. 132(6). 1706–1714. 13 indexed citations
2.
Best, Jennifer M., Cong Ran, M Bruska, et al.. (2018). Developmental profiling of microRNAs in the human embryonic inner ear. PLoS ONE. 13(1). e0191452–e0191452. 17 indexed citations
3.
Ran, Cong, et al.. (2018). Cervicofacial necrotising fasciitis by clindamycin-resistant and methicillin-resistant Staphylococcus aureus (MRSA) in a young healthy man. BMJ Case Reports. 11(1). e226975–e226975. 3 indexed citations
4.
Ran, Cong, Matthew C. Havrda, Huan Liu, et al.. (2017). Insulin-Mediated Signaling Facilitates Resistance to PDGFR Inhibition in Proneural hPDGFB-Driven Gliomas. Molecular Cancer Therapeutics. 16(4). 705–716. 19 indexed citations
5.
Havrda, Matthew C., Brenton R. Paolella, Cong Ran, et al.. (2014). Id2 Mediates Oligodendrocyte Precursor Cell Maturation Arrest and Is Tumorigenic in a PDGF-Rich Microenvironment. Cancer Research. 74(6). 1822–1832. 27 indexed citations
6.
Ran, Cong, Huan Liu, Yasuyuki Hitoshi, & Mark A. Israel. (2013). Proliferation-Independent Control of Tumor Glycolysis by PDGFR-Mediated AKT Activation. Cancer Research. 73(6). 1831–1843. 40 indexed citations
7.
Belden, Clifford J., Pablo A. Valdés, Cong Ran, et al.. (2011). Genetics of Glioblastoma: A Window into Its Imaging and Histopathologic Variability. Radiographics. 31(6). 1717–1740. 44 indexed citations
8.
Qin, Zhengbo, et al.. (2010). 水素化金クラスタアニオンの振動分解光電子イメージング AuH-及びAu2H-. The Journal of Chemical Physics. 133(4). 44303. 1 indexed citations
9.
Murad, Joana, Chelsea S. Place, Cong Ran, et al.. (2010). Inhibitor of DNA Binding 4 (ID4) Regulation of Adipocyte Differentiation and Adipose Tissue Formation in Mice. Journal of Biological Chemistry. 285(31). 24164–24173. 24 indexed citations
10.
Li, Jing, Cong Ran, Edward Li, et al.. (2008). Synergistic Function of E2F7 and E2F8 Is Essential for Cell Survival and Embryonic Development. Developmental Cell. 14(1). 62–75. 170 indexed citations

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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