Ming Ge

2.5k citations
102 papers · 1.9k · h-index 24

Impact in

    • Paleontology and Stratigraphy of Fossils
  • Neurology top 5%
    • Neurological disorders and treatments

Papers in

    • Retinoids in leukemia and cellular processes 4
    • Genomics, phytochemicals, and oxidative stress 4
    • Glioma Diagnosis and Treatment 10

Ming Ge

95 papers receiving 1.8k citations

Peers

Ming Ge
Comparison fields: 5 of 120
  • Paleontology 199
  • Neurology 206
  • Cellular and Molecular Neuroscience 244
  • Cancer Research 165
  • Geology 70
Replace Chetna Singh with:
Chetna Singh India
Young‐Joo Lee South Korea
Suping Wang China
Min Zhao China
Kazumi Akimoto Japan
Xinshe Liu China
Pierre Julien Canada
Wenzheng Zhang China
Barbara Bayer United States
Thomas Olsén Norway
Ming Ge relative to Chetna Singh India Chetna Singh's profile →
Citations per field
00.5×4.8×
Chetna Singh · 1×
Citations per year

Countries citing papers authored by Ming Ge

Since Specialization
Citations

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

Fields of papers citing papers by Ming Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming Ge, 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 Ming Ge Line = papers co-authored together Ming Ge links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997208
2 2014109
3 2018107
4 1986104
5 200694
6 201880
7 201278
8 198253
9 201846
10 201344
11 201441
12 201239
13 198533
14 201832
15 201632
16 202129
17 202027
18 202026
19 201126
20 201925

About Ming Ge

Ming Ge is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Neurology and Cancer Research, having authored 102 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Heavy Metal Exposure and Toxicity (7 papers), Paleontology and Stratigraphy of Fossils (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Retinoids in leukemia and cellular processes (4 papers), Immune Response and Inflammation (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Paleontology (199 citations), Neurology (206 citations), Cellular and Molecular Neuroscience (244 citations), Cancer Research (165 citations) and Geology (70 citations). Ming Ge has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jianguo Zhang, Xiang-Hua Meng, Maurice E. Tucker, Ruili Zhang, Kai Zhang, Hiroshi Ueda, Fangang Meng, Hiroshi Takagi, Weiqian Zhang and Nobuyuki Fukushima. Their work appears in journals such as Biological Trace Element Research, Journal of Neuro-Oncology, Child s Nervous System, Acta Neurochirurgica and BMC Pediatrics.

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.

Explore authors with similar magnitude of impact