Yan Long
Impact in
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
- Obstetrics and Gynecology top 2%
- Pregnancy and preeclampsia studies
- Gestational Diabetes Research and Management
Papers in
-
- Pregnancy and preeclampsia studies 18
- Gestational Diabetes Research and Management 8
-
- Birth, Development, and Health 12
- Co-authors
- Kevin W. EliceiriPatricia J. KeelyJohn G. WhiteCurtis RuedenPaolo P. ProvenzanoDavid R. InmanJustin KnittelHongling Yang
- Journals
- PLoS ONE (3 papers)Scientific Reports (2 papers)Archives of Gynecology and Obstetrics (2 papers)Journal of Medical Microbiology (2 papers)Frontiers in Medicine (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yan Long
55 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Biophysics 327
- Obstetrics and Gynecology 258
- Immunology and Allergy 178
- Cell Biology 424
- Cancer Research 336
Countries citing papers authored by Yan Long
This map shows the geographic impact of Yan Long'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 Yan Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Long more than expected).
Fields of papers citing papers by Yan Long
This network shows the impact of papers produced by Yan Long. 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 Yan Long. The network helps show where Yan Long may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan Long, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 4 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 14 | |
| 12 | 2020 | 7 | |
| 13 | 2020 | 21 | |
| 14 | 2020 | 3 | |
| 15 | 2018 | 28 | |
| 16 | 2018 | 21 | |
| 17 | 2017 | 17 | |
| 18 | Collagen density promotes mammary tumor initiation and progression Hit paper breakdown → | 2008 | 1076 |
| 19 | [Effect of different delivery modes on the short-term function of the pelvic floor]. | 2007 | 1 |
| 20 | 2007 | 32 |
About Yan Long
Yan Long is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Infectious Diseases, Biophysics and Molecular Medicine, having authored 59 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (18 papers), Birth, Development, and Health (12 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Gestational Diabetes Research and Management (8 papers), Bacterial biofilms and quorum sensing (6 papers), Streptococcal Infections and Treatments (5 papers), Circular RNAs in diseases (5 papers) and Reproductive System and Pregnancy (4 papers). The work is most often cited by research in Biophysics (327 citations), Obstetrics and Gynecology (258 citations), Immunology and Allergy (178 citations), Cell Biology (424 citations) and Cancer Research (336 citations). Yan Long has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Kevin W. Eliceiri, Patricia J. Keely, John G. White, Curtis Rueden, Paolo P. Provenzano, David R. Inman, Justin Knittel, Hongling Yang, Emily M. Vaughan and Damian Bird. Their work appears in journals such as PLoS ONE, Scientific Reports, Archives of Gynecology and Obstetrics, Journal of Medical Microbiology and Frontiers in Medicine.
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.