Ge Lin

7.0k citations
262 papers · 4.0k · h-index 35

Impact in

Papers in

Ge Lin

241 papers receiving 3.9k citations

Peers

Ge Lin
Comparison fields: 5 of 134
  • Reproductive Medicine 560
  • Pediatrics, Perinatology and Child Health 763
  • Public Health, Environmental and Occupational Health 905
  • Genetics 625
  • Molecular Biology 1.5k
Replace Andrew N. Shelling with:
Andrew N. Shelling New Zealand
Pao‐Lin Kuo Taiwan
Koso Ohama Japan
Joep Geraedts Netherlands
Hamid Gourabi Iran
Marc De Braekeleer France
Tzu‐Hao Wang Taiwan
David S. Cram Australia
Yutaka Tomoda Japan
Y. Taketani Japan
Ge Lin relative to Andrew N. Shelling New Zealand Andrew N. Shelling's profile →
Citations per field
00.5×3.7×
Andrew N. Shelling · 1×
Citations per year

Countries citing papers authored by Ge Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ge Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 262 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020122
2 2007101
3 201396
4 199794
5 201884
6 201784
7 200876
8 201674
9 201972
10 201170
11 201769
12 200968
13 202162
14 201558
15 201756
16 201356
17 201555
18 201655
19 201848
20 201948

About Ge Lin

Ge Lin is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health, Genetics and Reproductive Medicine, having authored 262 papers that have together received 4.0k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (52 papers), Pluripotent Stem Cells Research (50 papers), Prenatal Screening and Diagnostics (36 papers), Renal and related cancers (24 papers), CRISPR and Genetic Engineering (23 papers), Ovarian function and disorders (14 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (14 papers) and Sperm and Testicular Function (14 papers). The work is most often cited by research in Reproductive Medicine (560 citations), Pediatrics, Perinatology and Child Health (763 citations), Public Health, Environmental and Occupational Health (905 citations), Genetics (625 citations) and Molecular Biology (1.5k citations). Ge Lin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Guangxiu Lu, Fei Gong, Yue‐Qiu Tan, Fei Gong, Shuoping Zhang, Liang Hu, Guangxiu Lu, Changfu Lu, Yifan Gu and Dehua Cheng. Their work appears in journals such as Human Reproduction, Journal of Assisted Reproduction and Genetics, Fertility and Sterility, Stem Cell Research and Reproductive BioMedicine Online.

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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