Junling Chen
Impact in
- Reproductive Medicine top 5%
- Ovarian function and disorders
- Reproductive Health and Technologies
- Obstetrics and Gynecology top 5%
- Maternal and Perinatal Health Interventions
Papers in
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- Glycosylation and Glycoproteins Research 3
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- Ovarian function and disorders 3
- Co-authors
- Ernest Hung Yu Ng (4 shared papers)A. Pretnar‐Darovec (1 shared paper)Helena von Hertzen (1 shared paper)Frank Lüdicke (1 shared paper)Kristina Gemzell‐Danielsson (1 shared paper)Si Young Song (1 shared paper)Rosemary Kirkman (1 shared paper)Alexandre Peregoudov (1 shared paper)
In The Last Decade
Junling Chen
34 papers receiving 698 citations
Peers
Comparison fields: 5 of 95
- Reproductive Medicine 166
- Obstetrics and Gynecology 128
- Public Health, Environmental and Occupational Health 440
- Pediatrics, Perinatology and Child Health 271
- General Health Professions 88
Countries citing papers authored by Junling Chen
This map shows the geographic impact of Junling 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 Junling Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junling Chen more than expected).
Fields of papers citing papers by Junling Chen
This network shows the impact of papers produced by Junling 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 Junling Chen. The network helps show where Junling Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Junling Chen, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 408 | |
| 2 | 2009 | 53 | |
| 3 | 2009 | 35 | |
| 4 | 2019 | 28 | |
| 5 | 2011 | 28 | |
| 6 | 2020 | 21 | |
| 7 | 2018 | 16 | |
| 8 | 2020 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2003 | 13 | |
| 11 | 2021 | 13 | |
| 12 | 2009 | 13 | |
| 13 | 2020 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2020 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2016 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2013 | 8 | |
| 20 | 2015 | 6 |
About Junling Chen
Junling Chen is a scholar working on Molecular Biology, Reproductive Medicine, Epidemiology, Public Health, Environmental and Occupational Health and Biophysics, having authored 38 papers that have together received 760 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (6 papers), Ovarian function and disorders (3 papers), Adipose Tissue and Metabolism (3 papers), Glycosylation and Glycoproteins Research (3 papers), Reproductive Biology and Fertility (3 papers), Traditional and Medicinal Uses of Annonaceae (2 papers), Sirtuins and Resveratrol in Medicine (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Reproductive Medicine (166 citations), Obstetrics and Gynecology (128 citations), Public Health, Environmental and Occupational Health (440 citations), Pediatrics, Perinatology and Child Health (271 citations) and General Health Professions (88 citations). Junling Chen has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Ernest Hung Yu Ng, A. Pretnar‐Darovec, Helena von Hertzen, Frank Lüdicke, Kristina Gemzell‐Danielsson, Si Young Song, Rosemary Kirkman, Alexandre Peregoudov, Gilda Piaggio and György Bártfai. Their work appears in journals such as Analytical Chemistry, Talanta, Neuroscience, BMJ Open and Endocrinology.
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.