Lin Tang
- Reproductive Medicine top 5%
- Sperm and Testicular Function 7
- General Social Sciences top 0.5%
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- Cancer-related molecular mechanisms research 8
- Genetics top 10%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 5
- Artificial Intelligence top 10%
- Text and Document Classification Technologies 9
- Topic Modeling 5
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- Machine Learning in Bioinformatics 8
- CRISPR and Genetic Engineering 5
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- Reproductive Biology and Fertility 7
- Co-authors
- Wei ZhouLin LiuShaowen YaoIna DobrinskiWenxian ZengFang ChenShun GaoJiji Jiang
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Lin Tang
74 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 167
- Reproductive Medicine 205
- General Social Sciences 54
- Cancer Research 148
- Genetics 193
- Artificial Intelligence 201
Countries citing papers authored by Lin Tang
This map shows the geographic impact of Lin Tang'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 Lin Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Tang more than expected).
Fields of papers citing papers by Lin Tang
This network shows the impact of papers produced by Lin Tang. 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 Lin Tang. The network helps show where Lin Tang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lin Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 3 | |
| 8 | 2020 | 1 | |
| 9 | Effects of Salt Stress on the Growth and Leaf Chlorophyll Fluorescence in Acer palmatum Seedlings | 2015 | 1 |
| 10 | 2012 | 53 | |
| 11 | Lipid peroxidation and antioxidant responses during seed germination of Jatropha curcas. | 2011 | 33 |
| 12 | 2011 | 34 | |
| 13 | 2011 | 21 | |
| 14 | Effects of exogenous silicon on seed germination and antioxidant enzyme activities of Momordica charantia under salt stress. | 2010 | 29 |
| 15 | Effects of zinc on growth and antioxidant responses in Jatropha curcas seedlings. | 2010 | 50 |
| 16 | Method and realization of computer-aided combination of assur groups in conceptual design of planar linkage mechanisms | 2009 | 2 |
| 17 | Study on Baicalin Induced Apoptosis of Human Breast Cancer Cell Line MDA-MB-231 | 2008 | 0 |
| 18 | Application of BP Neural Network in Evaluation of Water Source in Mine | 2007 | 5 |
| 19 | 2006 | 35 | |
| 20 | Western blotting analysis of curcin from Jatropha curcas upon drought stress. | 2004 | 1 |
About Lin Tang
Lin Tang is a scholar working on Reproductive Medicine, Cancer Research and Artificial Intelligence, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Text and Document Classification Technologies (9 papers), Machine Learning in Bioinformatics (8 papers), Cancer-related molecular mechanisms research (8 papers), Reproductive Biology and Fertility (7 papers), Sperm and Testicular Function (7 papers), Topic Modeling (5 papers), CRISPR and Genetic Engineering (5 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers). The work is most often cited by research in Reproductive Medicine (205 citations), General Social Sciences (54 citations) and Cancer Research (148 citations). Lin Tang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Wei Zhou, Lin Liu, Shaowen Yao, Ina Dobrinski, Wenxian Zeng, Fang Chen, Shun Gao, Jiji Jiang, Zuping He and Maria Kokkinaki. Their work appears in journals such as Nature Methods, Scientific Reports and Gene.
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.