Jing Han

1.3k total citations · 1 hit paper
56 papers, 874 citations indexed

About

Jing Han is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Jing Han has authored 56 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 14 papers in Immunology and 12 papers in Epidemiology. Recurrent topics in Jing Han's work include Glycosylation and Glycoproteins Research (14 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Liver Disease Diagnosis and Treatment (7 papers). Jing Han is often cited by papers focused on Glycosylation and Glycoproteins Research (14 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Liver Disease Diagnosis and Treatment (7 papers). Jing Han collaborates with scholars based in China, Hong Kong and United States. Jing Han's co-authors include Shifang Ren, Jun Yu, Shaoqiang Zhang, Xiang Li, Jianxin Gu, Wenjun Qin, Yi Yang, Ran Zhao, Jing Zhao and Xianyi Sha and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Analytica Chimica Acta.

In The Last Decade

Jing Han

53 papers receiving 867 citations

Hit Papers

Anti-CHAC1 exosomes for nose-to-brain delivery of miR-760... 2023 2026 2024 2025 2023 25 50 75 100

Peers

Jing Han
Comparison fields: 5 of 115
  • Molecular Biology 443
  • Immunology 156
  • Surgery 142
  • Oncology 117
  • Cancer Research 112
Replace Veerle Van Marck with:
Veerle Van Marck Belgium
Honglei Huang United Kingdom
Xia Bai China
Ying Zheng China
Shihui Li China
Deok-Hoon Kong South Korea
Rong Yang China
Hongchun Liu China
Steffen Frese Switzerland
Veerle Van Marck Belgium View profile →
Citations per field, relative to Jing Han
Jing Han · 1×
Citations per year, relative to Jing Han
Jing Han · 1×

Countries citing papers authored by Jing Han

Since Specialization
Citations

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

Fields of papers citing papers by Jing Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Han

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Han. A scholar is included among the top collaborators of Jing Han 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 Jing Han. Jing Han 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
# Work Indexed citations
1 0
2 1
3 5
4 5
5 2
6 5
7 104
8 2
9 17
10 6
11 22
12 15
13 6
14 5
15 14
16 11
17 30
18 40
19
Application of pressure wire in carotid artery stenting
1
20
Comparison of flavonoids, terpenoids and the natural complex of them by Ginkgo biloba on antioxidant effect
3

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026