Ge Chen

1.6k citations
65 papers · 1.1k · h-index 14

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis

Papers in

Ge Chen

61 papers receiving 1.0k citations

Peers

Ge Chen
Comparison fields: 5 of 90
  • Transplantation 148
  • Oncology 262
  • Endocrinology, Diabetes and Metabolism 125
  • Nephrology 46
  • Surgery 207
Replace Arturo P. Saavedra with:
Arturo P. Saavedra United States
Mónica Grafals United States
A. Markatos United States
Elena Orsenigo Italy
Margherita Gigante Italy
Helen Ramsay United Kingdom
Oliver Drognitz Germany
José Luis Santiago Spain
Raimo Tuuminen Finland
Francisca Beato United States
Ge Chen relative to Arturo P. Saavedra United States Arturo P. Saavedra's profile →
Citations per field
00.5×6.5×
Arturo P. Saavedra · 1×
Citations per year

Countries citing papers authored by Ge Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ge Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998208
2 2013131
3 2011106
4 201686
5 202356
6 202147
7 202129
8 201627
9 202326
10 201223
11 201320
12 202116
13 202114
14 202414
15 201813
16 202013
17 202413
18 202112
19 202312
20 199311

About Ge Chen

Ge Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Epidemiology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (7 papers), Ovarian cancer diagnosis and treatment (3 papers), Air Quality and Health Impacts (3 papers), Reproductive System and Pregnancy (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Meningioma and schwannoma management (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Transplantation (148 citations), Oncology (262 citations), Endocrinology, Diabetes and Metabolism (125 citations), Nephrology (46 citations) and Surgery (207 citations). Ge Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yupei Zhao, Taiping Zhang, Shanglong Liu, Menghua Dai, L. Czer, Connie L. Davis, Robert W. Steiner, Jeremy Schwieger, Stanley C. Jordan and Dolly B. Tyan. Their work appears in journals such as Nutrients, European Journal of Preventive Cardiology, Annals of Palliative Medicine, BMC Cardiovascular Disorders and Cancer Letters.

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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