Wei Long
Impact in
- Obstetrics and Gynecology top 0.5%
- Pregnancy and preeclampsia studies
- Gestational Diabetes Research and Management
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Pregnancy and preeclampsia studies 36
- Gestational Diabetes Research and Management 14
-
- RNA modifications and cancer 9
- Co-authors
- Hongjuan Ding (16 shared papers)Bin Yu (32 shared papers)Rong Shen (7 shared papers)Chun Zhao (4 shared papers)Xirong Guo (4 shared papers)Zhonghua Shi (7 shared papers)Xuejing Song (7 shared papers)Bin Zhang (10 shared papers)
- Journals
- Clinica Chimica Acta (4 papers)Scientific Reports (3 papers)Cancer Research (3 papers)Cellular Physiology and Biochemistry (3 papers)Journal of Cellular Physiology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Long
94 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Obstetrics and Gynecology 699
- Cancer Research 485
- Pediatrics, Perinatology and Child Health 363
- Immunology 282
- Molecular Biology 785
Countries citing papers authored by Wei Long
This map shows the geographic impact of Wei 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 Wei Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Long more than expected).
Fields of papers citing papers by Wei Long
This network shows the impact of papers produced by Wei 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 Wei Long. The network helps show where Wei Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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
Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 128 | |
| 2 | 2014 | 120 | |
| 3 | 2022 | 114 | |
| 4 | 2013 | 98 | |
| 5 | 2017 | 91 | |
| 6 | 2019 | 55 | |
| 7 | 2018 | 49 | |
| 8 | 2019 | 47 | |
| 9 | 2019 | 45 | |
| 10 | 2018 | 44 | |
| 11 | 2019 | 43 | |
| 12 | 2018 | 39 | |
| 13 | 2016 | 38 | |
| 14 | 2020 | 38 | |
| 15 | 2021 | 35 | |
| 16 | 2018 | 32 | |
| 17 | 2014 | 32 | |
| 18 | 2008 | 30 | |
| 19 | 2015 | 30 | |
| 20 | 2019 | 29 |
About Wei Long
Wei Long is a scholar working on Obstetrics and Gynecology, Molecular Biology, Pediatrics, Perinatology and Child Health, Cancer Research and Plant Science, having authored 102 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (36 papers), Gestational Diabetes Research and Management (14 papers), Cancer-related molecular mechanisms research (10 papers), RNA modifications and cancer (9 papers), Birth, Development, and Health (8 papers), MicroRNA in disease regulation (8 papers), Prenatal Screening and Diagnostics (7 papers) and Thyroid Disorders and Treatments (7 papers). The work is most often cited by research in Obstetrics and Gynecology (699 citations), Cancer Research (485 citations), Pediatrics, Perinatology and Child Health (363 citations), Immunology (282 citations) and Molecular Biology (785 citations). Wei Long has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hongjuan Ding, Bin Yu, Rong Shen, Chun Zhao, Xirong Guo, Zhonghua Shi, Xuejing Song, Bin Zhang, Yan Lv and Mingming Lv. Their work appears in journals such as Clinica Chimica Acta, Scientific Reports, Cancer Research, Cellular Physiology and Biochemistry and Journal of Cellular Physiology.
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.