Cong Ran

471 citations
10 papers · 358 · h-index 8

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Glioma Diagnosis and Treatment

Papers in

    • Cancer, Hypoxia, and Metabolism 3
    • Cancer-related molecular mechanisms research 2
    • MicroRNA in disease regulation 1
    • Metabolism, Diabetes, and Cancer 1
    • TGF-β signaling in diseases 1
    • FOXO transcription factor regulation 1

Cong Ran

10 papers receiving 354 citations

Peers

Cong Ran
Comparison fields: 5 of 70
  • Cancer Research 113
  • Genetics 76
  • Oncology 100
  • Molecular Biology 216
  • Sensory Systems 10
Replace Haolang Ming with:
Haolang Ming China
Bingcheng Ren China
Camilla Holmlund Sweden
Federica Verginelli Italy
Neda Shariat Canada
Mitchell Sun United States
Siobhan Conroy Netherlands
Buğra Tügertimur United States
Valérie Lang France
Lorenza Pasqualini Italy
Cong Ran relative to Haolang Ming China Haolang Ming's profile →
Citations per field
00.5×3.8×
Haolang Ming · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Cong Ran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cong Ran Line = papers co-authored together Cong Ran links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2008170
2 201144
3 201340
4 201427
5 201024
6 201719
7 201817
8 201913
9 20183
10
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-
20101

About Cong Ran

Cong Ran is a scholar working on Cancer Research, Molecular Biology, Genetics, Infectious Diseases and Neurology, having authored 10 papers that have together received 358 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer-related molecular mechanisms research (2 papers), MicroRNA in disease regulation (1 paper), Metabolism, Diabetes, and Cancer (1 paper), TGF-β signaling in diseases (1 paper), FOXO transcription factor regulation (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Cancer Research (113 citations), Genetics (76 citations), Oncology (100 citations), Molecular Biology (216 citations) and Sensory Systems (10 citations). Cong Ran has collaborated with scholars based in United States, Netherlands and Lebanon. Frequent co-authors include Mark A. Israel, Yasuyuki Hitoshi, Jing Li, Edward Li, Hui-Zi Chen, Shusil K. Pandit, Whitney M. Cleghorn, Alain de Bruin, Gustavo Leone and Karl Kornacker. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Biological Chemistry, Journal of neurosurgery and Radiographics.

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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