Bin Ling

2.5k citations
107 papers · 1.7k indexed · 1 hit paper · h-index 20

Impact in

Papers in

Bin Ling

99 papers receiving 1.7k citations

Hit Papers

Prevalence of depression and anxiety and correlations between depression, anxiety, family functioning, social support and coping styles among Chinese medical students 2020 · 289 citations
289202020262022202450100150200250

Peers

Bin Ling
Comparison fields: 5 of 146
  • Immunology 532
  • Obstetrics and Gynecology 182
  • Reproductive Medicine 176
  • Cancer Research 198
  • Rheumatology 145
Replace Nao Nishida with:
Nao Nishida Japan
Sung Han Shim South Korea
Xiaojing Yue China
Michael Gurevich Israel
Joel G. Turner United States
Harald Abele Germany
James M. Flanagan United Kingdom
Lydia Lee United Kingdom
Joanna M. Watson United States
Shubha R. Phadke India
Bin Ling relative to Nao Nishida Japan Nao Nishida's profile →
Citations per field
00.5×3.0×
Nao Nishida · 1×
Citations per year

Countries citing papers authored by Bin Ling

Since Specialization
Citations

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

Fields of papers citing papers by Bin Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin Ling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bin Ling Line = papers co-authored together Bin Ling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prevalence of depression and anxiety and correlations between depression, anxiety, family functioning, social support and coping styles among Chinese medical students
Hit paper breakdown →
2020289
2 2012238
3 2011156
4 202360
5 201950
6 202243
7 201642
8 201239
9 200938
10 201137
11 201736
12 200833
13 201333
14 201932
15 200832
16 201123
17 201221
18
Kimura's disease: risk factors of recurrence and prognosis.
201521
19 202021
20 201419

About Bin Ling

Bin Ling is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Rheumatology, Genetics and Immunology, having authored 107 papers that have together received 1.7k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (13 papers), Mesenchymal stem cell research (9 papers), Reproductive System and Pregnancy (8 papers), Ovarian cancer diagnosis and treatment (7 papers), Pelvic floor disorders treatments (6 papers), Reproductive Biology and Fertility (6 papers), Immune Cell Function and Interaction (6 papers) and Uterine Myomas and Treatments (6 papers). The work is most often cited by research in Immunology (532 citations), Obstetrics and Gynecology (182 citations), Reproductive Medicine (176 citations), Cancer Research (198 citations) and Rheumatology (145 citations). Bin Ling has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Haiming Wei, Zhigang Tian, Rui Sun, Binqing Fu, Dingqing Feng, Lu Xu, Yongqiang Yang, Liangsheng Kong, Yanhua Hou and Ping He. Their work appears in journals such as Cell Transplantation, Journal of Craniofacial Surgery, Frontiers in Nutrition, Clinical and investigative medicine and Journal of Immunotherapy.

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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