Cha Han

1.5k citations
51 papers · 977 · h-index 20

Impact in

Papers in

Cha Han

50 papers receiving 961 citations

Peers

Cha Han
Comparison fields: 5 of 91
  • Microbiology 257
  • Obstetrics and Gynecology 258
  • Immunology 175
  • Reproductive Medicine 65
  • Epidemiology 220
Replace Maria Luíza Gonçalves dos Reis Monteiro with:
Maria Luíza Gonçalves dos Reis Monteiro Brazil
Richard L. Lawler United States
Michi Hisano Japan
Paulina Mertowska Poland
Mario Berth Belgium
Dan Feng China
Xianling Zeng China
Fulvia Milena Cribiù Italy
Patricia Castillo United States
Lei Yuan China
Cha Han relative to Maria Luíza Gonçalves dos Reis Monteiro Brazil Maria Luíza Gonçalves dos Reis Monteiro's profile →
Citations per field
00.5×5×10.3×
Maria Luíza Gonçalves dos Reis Monteiro · 1×
Citations per year

Countries citing papers authored by Cha Han

Since Specialization
Citations

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

Fields of papers citing papers by Cha Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201982
2 202370
3 201450
4 201847
5 201944
6 201944
7 201843
8 202038
9 202037
10 202037
11 201835
12 201634
13 202033
14 202133
15 202232
16 202025
17 201524
18 201822
19 201921
20 201721

About Cha Han

Cha Han is a scholar working on Obstetrics and Gynecology, Microbiology, Immunology, Hematology and Pediatrics, Perinatology and Child Health, having authored 51 papers that have together received 977 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (16 papers), Reproductive tract infections research (13 papers), Reproductive System and Pregnancy (9 papers), Cervical Cancer and HPV Research (6 papers), Birth, Development, and Health (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Extracellular vesicles in disease (3 papers) and Genital Health and Disease (2 papers). The work is most often cited by research in Microbiology (257 citations), Obstetrics and Gynecology (258 citations), Immunology (175 citations), Reproductive Medicine (65 citations) and Epidemiology (220 citations). Cha Han has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Fengxia Xue, Yingmei Wang, Chen Wang, Aiping Fan, Huiyang Li, Jing‐fei Dong, Wenhui Qi, Ye Yan, Huanrong Li and Yuanyuan Chen. Their work appears in journals such as Frontiers in Cellular and Infection Microbiology, Cancer Biology & Therapy, Blood, European Journal of Clinical Microbiology & Infectious Diseases and Blood Advances.

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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