Baosan Han

522 total citations
19 papers, 303 citations indexed

About

Baosan Han is a scholar working on Molecular Biology, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Baosan Han has authored 19 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Biomedical Engineering and 5 papers in Cancer Research. Recurrent topics in Baosan Han's work include RNA Interference and Gene Delivery (3 papers), Graphene and Nanomaterials Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Baosan Han is often cited by papers focused on RNA Interference and Gene Delivery (3 papers), Graphene and Nanomaterials Applications (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Baosan Han collaborates with scholars based in China, United States and Croatia. Baosan Han's co-authors include Chenghong Peng, Mingjun Zhang, Zhiyong Du, Yingbin Liu, Jiqi Yan, Kun Cheng, Dongfeng Cheng, Long Cui, Fang Huang and Ting Liu and has published in prestigious journals such as Journal of Clinical Investigation, International Journal of Biological Macromolecules and Nano Today.

In The Last Decade

Baosan Han

16 papers receiving 297 citations

Peers

Baosan Han
Comparison fields: 5 of 68
  • Molecular Biology 105
  • Genetics 98
  • Surgery 79
  • Cancer Research 65
  • Hepatology 41
Replace Ayami Saga with:
Ayami Saga Japan
Mengkang Fan China
Yu-Fan Chen Taiwan
Aurélie Schirmann France
C. Lübke Germany
Yutong Chen China
Xuejun Ni China
Ping Duan China
Lee Chuen Liew Japan
Ignazio Scarlata Italy
Ayami Saga Japan View profile →
Citations per field, relative to Baosan Han
Baosan Han · 1×
Citations per year, relative to Baosan Han
Baosan Han · 1×

Countries citing papers authored by Baosan Han

Since Specialization
Citations

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

Fields of papers citing papers by Baosan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baosan Han

This figure shows the co-authorship network connecting the top 25 collaborators of Baosan Han. A scholar is included among the top collaborators of Baosan 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 Baosan Han. Baosan Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 0
2 0
3 3
4 5
5 2
6 3
7 32
8 8
9 26
10 3
11 78
12 13
13 1
14 45
15 47
16
Accuracy of physical examination, ultrasonography, and magnetic resonance imaging in predicting response to neo-adjuvant chemotherapy for breast cancer.
13
17
[Netrin-1 protein expression in gastric cancer and its correlation with clinicopathologic features and prognosis].
3
18 5
19 16

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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