Weiting Ge

1.9k citations
56 papers · 1.4k · h-index 21

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Colorectal Cancer Treatments and Studies

Papers in

Weiting Ge

54 papers receiving 1.4k citations

Peers

Weiting Ge
Comparison fields: 5 of 108
  • Cancer Research 339
  • Oncology 295
  • Pathology and Forensic Medicine 151
  • Epidemiology 273
  • Molecular Biology 569
Replace Casey A. Frankenberger with:
Casey A. Frankenberger United States
Maeva Dufies France
Beihua Kong China
Guiyu Wang China
Gabriela Andrejeva United States
J.F. Geschwind United States
Patrick D. Bhola United States
Marina Bagnoli Italy
Richard J. Rebello Australia
Xiaojuan Du China
Weiting Ge relative to Casey A. Frankenberger United States Casey A. Frankenberger's profile →
Citations per field
00.5×1.5×
Casey A. Frankenberger · 1×
Citations per year

Countries citing papers authored by Weiting Ge

Since Specialization
Citations

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

Fields of papers citing papers by Weiting Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011233
2 2014152
3 202099
4 201186
5 201463
6 201653
7 201848
8 201942
9 201342
10 201942
11 201241
12 201840
13 201833
14 201829
15 201929
16 201729
17 202129
18 201025
19 202024
20 201323

About Weiting Ge

Weiting Ge is a scholar working on Oncology, Pathology and Forensic Medicine, Cancer Research, Pulmonary and Respiratory Medicine and Biophysics, having authored 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (11 papers), Colorectal Cancer Treatments and Studies (8 papers), Terahertz technology and applications (6 papers), Advanced Chemical Sensor Technologies (5 papers), Colorectal Cancer Screening and Detection (4 papers), Gastric Cancer Management and Outcomes (4 papers), Neuroendocrine Tumor Research Advances (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Cancer Research (339 citations), Oncology (295 citations), Pathology and Forensic Medicine (151 citations), Epidemiology (273 citations) and Molecular Biology (569 citations). Weiting Ge has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shu Sen Zheng, Hanguang Hu, Weidong Han, Hongming Pan, Wangxiong Hu, Wen Cai, Huarong Chen, Pingjie Huang, Dan Li and Xian Wang. Their work appears in journals such as Cancer Medicine, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Clinical Cancer Research, Journal of Cancer and Clinical Chemistry and Laboratory Medicine (CCLM).

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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