Xiaoling Lin
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- BRCA gene mutations in cancer
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- Prostate Cancer Treatment and Research
- Prostate Cancer Diagnosis and Treatment
Papers in
- Genetics 26
- Genetic Associations and Epidemiology 22
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- Prostate Cancer Treatment and Research 14
- Prostate Cancer Diagnosis and Treatment 11
- Co-authors
- Dali Lu (12 shared papers)Linjie Huang (12 shared papers)Jun Ying (8 shared papers)Xiu-Li Wang (5 shared papers)Shanping Jiang (11 shared papers)Jianfeng Xu (14 shared papers)Na Li (3 shared papers)Yang Yang (4 shared papers)
- Journals
- The Prostate (10 papers)Asian Journal of Andrology (6 papers)Scientific Reports (4 papers)Journal of Affective Disorders (4 papers)BMC Infectious Diseases (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoling Lin
196 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 145
- Genetics 564
- Pulmonary and Respiratory Medicine 472
- Food Science 251
- Molecular Medicine 80
- Cancer Research 159
Countries citing papers authored by Xiaoling Lin
This map shows the geographic impact of Xiaoling 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 Xiaoling Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Lin more than expected).
Fields of papers citing papers by Xiaoling Lin
This network shows the impact of papers produced by Xiaoling 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 Xiaoling Lin. The network helps show where Xiaoling Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 215 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 256 | |
| 2 | 2012 | 155 | |
| 3 | 2014 | 122 | |
| 4 | 2021 | 119 | |
| 5 | 2021 | 119 | |
| 6 | 2019 | 72 | |
| 7 | 2012 | 70 | |
| 8 | 2011 | 67 | |
| 9 | 2012 | 65 | |
| 10 | 2012 | 59 | |
| 11 | 2021 | 57 | |
| 12 | 2013 | 56 | |
| 13 | 2021 | 54 | |
| 14 | 2015 | 51 | |
| 15 | 2012 | 49 | |
| 16 | 2015 | 49 | |
| 17 | 2021 | 47 | |
| 18 | 2021 | 45 | |
| 19 | 2021 | 45 | |
| 20 | 2007 | 43 |
About Xiaoling Lin
Xiaoling Lin is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Urology, Electrical and Electronic Engineering and Psychiatry and Mental health, having authored 215 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (22 papers), Prostate Cancer Treatment and Research (14 papers), Polyoxometalates: Synthesis and Applications (14 papers), Prostate Cancer Diagnosis and Treatment (11 papers), Bipolar Disorder and Treatment (10 papers), Asthma and respiratory diseases (8 papers), Radio Frequency Integrated Circuit Design (6 papers) and Proteins in Food Systems (6 papers). The work is most often cited by research in Genetics (564 citations), Pulmonary and Respiratory Medicine (472 citations), Food Science (251 citations), Molecular Medicine (80 citations) and Cancer Research (159 citations). Xiaoling Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dali Lu, Linjie Huang, Jun Ying, Xiu-Li Wang, Shanping Jiang, Jianfeng Xu, Na Li, Yang Yang, Rong Na and Guo‐Ping Yang. Their work appears in journals such as The Prostate, Asian Journal of Andrology, Scientific Reports, Journal of Affective Disorders and BMC Infectious Diseases.
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.