Hao Ran

533 total citations
12 papers, 364 citations indexed

About

Hao Ran is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hao Ran has authored 12 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hao Ran's work include Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers) and MicroRNA in disease regulation (4 papers). Hao Ran is often cited by papers focused on Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers) and MicroRNA in disease regulation (4 papers). Hao Ran collaborates with scholars based in China, United States and France. Hao Ran's co-authors include Benjamin G. Neel, Diane M. Simeone, George Miller, Uğur Özerdem, Jayu Jen, Kwan Ho Tang, Mitchell J. Geer, Carmine Fedele, Wei Wei and Brian Diskin and has published in prestigious journals such as PLoS ONE, Medicine and Cancer Discovery.

In The Last Decade

Hao Ran

11 papers receiving 360 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Ran China 7 287 102 97 74 31 12 364
Fei‐Xiang Ding China 9 332 1.2× 67 0.7× 72 0.7× 225 3.0× 64 2.1× 15 474
Carlos F. de la Cruz-Herrera Spain 14 287 1.0× 149 1.5× 96 1.0× 52 0.7× 25 0.8× 18 405
Jennifer A. Morrison United States 5 231 0.8× 237 2.3× 83 0.9× 71 1.0× 85 2.7× 6 458
Devathri Nanayakkara Australia 11 263 0.9× 127 1.2× 31 0.3× 93 1.3× 25 0.8× 11 382
Joong-Kook Choi South Korea 12 213 0.7× 202 2.0× 91 0.9× 40 0.5× 19 0.6× 15 462
Kevan Chu United States 3 267 0.9× 74 0.7× 100 1.0× 103 1.4× 11 0.4× 6 365
Natalie Reimers Germany 5 278 1.0× 171 1.7× 137 1.4× 97 1.3× 15 0.5× 5 407
Anjana Shenoy Israel 9 255 0.9× 160 1.6× 174 1.8× 79 1.1× 4 0.1× 11 504
Alexandra Dananberg United States 5 221 0.8× 80 0.8× 69 0.7× 95 1.3× 12 0.4× 8 317
William Dampier United States 10 257 0.9× 86 0.8× 47 0.5× 44 0.6× 24 0.8× 13 401

Countries citing papers authored by Hao Ran

Since Specialization
Citations

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

Fields of papers citing papers by Hao Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Ran

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

All Works

12 of 12 papers shown
1.
Zhang, Yu, et al.. (2025). Comprehensive analysis of CMTM family and immune infiltration in esophageal carcinoma. PLoS ONE. 20(4). e0321037–e0321037.
3.
Ran, Hao, et al.. (2023). A novel feedback regulated loop of circRRM2-IGF2BP1-MYC promotes breast cancer metastasis. Cancer Cell International. 23(1). 54–54. 11 indexed citations
4.
Hu, Jie, et al.. (2021). Clinicopathological and prognostic significance of circRNAs in lung cancer. Medicine. 100(14). e25415–e25415. 4 indexed citations
5.
Ran, Hao, et al.. (2021). Systematic expression analysis of the CELSR family reveals the importance of CELSR3 in human lung adenocarcinoma. Journal of Cellular and Molecular Medicine. 25(9). 4349–4362. 8 indexed citations
6.
Jia, Yang, et al.. (2021). Construction of circRNA-miRNA-mRNA network and identification of novel potential biomarkers for non-small cell lung cancer. Cancer Cell International. 21(1). 611–611. 18 indexed citations
7.
Liu, Jiani, Xinyu Peng, Yinfeng Liu, et al.. (2021). The Diagnostic Value of Serum Exosomal Has_circ_0000615 for Breast Cancer Patients. International Journal of General Medicine. Volume 14. 4545–4554. 20 indexed citations
8.
Fedele, Carmine, Hao Ran, Brian Diskin, et al.. (2018). SHP2 Inhibition Prevents Adaptive Resistance to MEK Inhibitors in Multiple Cancer Models. Cancer Discovery. 8(10). 1237–1249. 210 indexed citations
9.
Tsutsumi, Ryouhei, Hao Ran, & Benjamin G. Neel. (2018). Off‐target inhibition by active site‐targeting SHP 2 inhibitors. FEBS Open Bio. 8(9). 1405–1411. 39 indexed citations
10.
Wang, Chengshuo, et al.. (2014). [The expression and significance of programmed cell death 5 and Bcelllymphoma/lewkmia-2 in sinonasal squamous cell carcinoma].. PubMed. 28(17). 1301–4. 3 indexed citations
11.
Xue, Qingjie, et al.. (2012). Protective Role of Nitric Oxide Induced by Ischemic Preconditioning on Cold Ischemic-Reperfusion Injury of Rat Liver Graft. Transplantation Proceedings. 44(4). 948–951. 5 indexed citations
12.
Wang, Shaohua, Xinping Zhu, Yaping Yang, et al.. (2009). Molecular cloning and characterization of heat shock protein 70 from Trichinella spiralis. Acta Tropica. 110(1). 46–51. 42 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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