Ling Han

493 citations
36 papers · 338 · h-index 11

Impact in

Papers in

Ling Han

34 papers receiving 331 citations

Peers

Ling Han
Comparison fields: 5 of 64
  • Obstetrics and Gynecology 75
  • Reproductive Medicine 35
  • Cancer Research 59
  • Biological Psychiatry 8
  • Epidemiology 60
Replace Ana Monteagudo with:
Ana Monteagudo United States
Paolo Scollo Italy
Merel M. J. van den Berg Netherlands
Shaima M. Almasry Egypt
Christopher W. Perrett United Kingdom
Deepanjana Das United States
Shinobu Goto Japan
Leah C. Susser United States
Nikolaos Makris Greece
Yeu-Sheng Tyan Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Ling Han

Since Specialization
Citations

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

Fields of papers citing papers by Ling Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ling Han, 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 Ling Han Line = papers co-authored together Ling Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199971
2 201552
3 201343
4 200817
5 202314
6 202014
7 202111
8 201011
9
[Relationship between polymorphism of hypoxia inducible factor-1alpha and cervical cancer in Han population in Sichuan Province of China].
201011
10 200911
11 202111
12 20128
13 20217
14 20217
15 20245
16 20065
17 20245
18 20214
19 20214
20 20234

About Ling Han

Ling Han is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Surgery, Epidemiology and Biomedical Engineering, having authored 36 papers that have together received 338 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (12 papers), Ovarian cancer diagnosis and treatment (5 papers), Uterine Myomas and Treatments (4 papers), Cervical Cancer and HPV Research (3 papers), Graphene and Nanomaterials Applications (3 papers), Endometriosis Research and Treatment (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Ultrasound and Hyperthermia Applications (1 paper). The work is most often cited by research in Obstetrics and Gynecology (75 citations), Reproductive Medicine (35 citations), Cancer Research (59 citations), Biological Psychiatry (8 citations) and Epidemiology (60 citations). Ling Han has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yali Chen, Yanxia Chu, Qingchun Huang, Shengli Yang, Yong‐Liang Chu, Xiumin Chen, Run-Yue Huang, Bingyi Zhang, Yu Huang and Min Chen. Their work appears in journals such as Frontiers in Oncology, International Journal of Gynecology & Obstetrics, International Journal of Gynecological Cancer, Gynecologic Oncology and Journal of Minimally Invasive Gynecology.

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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