Luna Ge

544 citations
25 papers · 414 · h-index 12

Impact in

    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism
    • Rheumatoid Arthritis Research and Therapies

Papers in

    • Bone Metabolism and Diseases 3
    • Signaling Pathways in Disease 3
    • Bioactive natural compounds 2
    • Peptidase Inhibition and Analysis 3

Luna Ge

25 papers receiving 412 citations

Peers

Luna Ge
Comparison fields: 5 of 74
  • Cancer Research 66
  • Rheumatology 48
  • Oncology 71
  • Immunology 55
  • Molecular Biology 173
Replace He Tian with:
He Tian China
Jin Gong China
Ha‐Reum Lee South Korea
Ioannis Gkouveris United States
Kai Yan China
Yuniel Fernández‐Marrero Switzerland
Agnese Di Rocco United States
Libin Yang China
Liang Hao China
José Esparza‐López Mexico
Luna Ge relative to He Tian China He Tian's profile →
Citations per field
00.5×1.5×1.8×
He Tian · 1×
Citations per year

Countries citing papers authored by Luna Ge

Since Specialization
Citations

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

Fields of papers citing papers by Luna Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201953
2 202250
3 201948
4 201936
5 202234
6 201830
7 202125
8 201922
9 202215
10 201915
11 202314
12 201912
13 202111
14 202010
15 20219
16 20259
17 20245
18 20225
19 20203
20 20232

About Luna Ge

Luna Ge is a scholar working on Molecular Biology, Oncology, Immunology, Cell Biology and Rheumatology, having authored 25 papers that have together received 414 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Bone Metabolism and Diseases (3 papers), Peptidase Inhibition and Analysis (3 papers), Signaling Pathways in Disease (3 papers), Protease and Inhibitor Mechanisms (2 papers), Systemic Lupus Erythematosus Research (2 papers), Bioactive natural compounds (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Cancer Research (66 citations), Rheumatology (48 citations), Oncology (71 citations), Immunology (55 citations) and Molecular Biology (173 citations). Luna Ge has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Kai Cheng, Jihong Pan, Guanhua Song, Jinxiang Han, Lin Wang, Tingting Feng, Yazhou Cui, Baoyan Liu, Yuang Zhang and Qiqi Lu. Their work appears in journals such as Arthritis Research & Therapy, Pharmacology Research & Perspectives, The Prostate, Molecular Imaging and Biology and British Journal of Pharmacology.

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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