Haibin Wang

12.0k citations
200 papers · 8.1k indexed · 3 hit papers · h-index 41
Topics
Reproductive System and Pregnancy (76 papers)Endometriosis Research and Treatment (51 papers)Pregnancy and preeclampsia studies (31 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Haibin Wang

194 papers receiving 8.0k citations

Hit Papers

Roadmap to embryo implantation: clues from mouse models20042026201120182006200420132505007501000

Peers

Haibin Wang
Comparison fields: 5 of 158
  • Immunology 4.0k
  • Molecular Biology 2.8k
  • Reproductive Medicine 2.4k
  • Obstetrics and Gynecology 1.7k
  • Public Health, Environmental and Occupational Health 1.4k
Replace Kate Hardy with:
Kate Hardy United Kingdom
Hamish M. Fraser United Kingdom
Orla M. Conneely United States
Kenneth P. Nephew United States
Mala Mahendroo United States
Qing‐Yuan Sun China
Bibhash C. Paria United States
Kaoru Miyamoto Japan
Henry J. Leese United Kingdom
Haibin Wang relative to Kate Hardy United Kingdom Kate Hardy's profile →
Citations per field
00.5×7.0×
Kate Hardy · 1×
Citations per year

Countries citing papers authored by Haibin Wang

Since Specialization
Citations

This map shows the geographic impact of Haibin Wang'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 Haibin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haibin Wang more than expected).

Fields of papers citing papers by Haibin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haibin Wang. 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 Haibin Wang. The network helps show where Haibin Wang may publish in the future.

Co-authorship network of co-authors of Haibin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Haibin Wang. A scholar is included among the top collaborators of Haibin Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haibin Wang. Haibin Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 13
3 0
4 2
5 10
6 4
7 3
8 7
9 25
10 12
11 3
12 4
13 19
14 42
15 36
16 17
17 20
18 15
19 43
20 32

About Haibin Wang

Haibin Wang is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Immunology, having authored 200 papers that have together received 8.1k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (76 papers), Endometriosis Research and Treatment (51 papers) and Pregnancy and preeclampsia studies (31 papers). The work is most often cited by research in Reproductive Medicine (2.4k citations), Obstetrics and Gynecology (1.7k citations) and Immunology (4.0k citations). Haibin Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Sudhansu K. Dey, Sanjoy K. Das, Takiko Daikoku, Hyunjung Jade Lim, Bibhash C. Paria, Shuangbo Kong, Jeff Reese, Shuang Zhang, Susanne Tranguch and Huirong Xie. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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.

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