Chang Han

8.6k total citations · 1 hit paper
40 papers, 2.0k citations indexed

About

Chang Han is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Chang Han has authored 40 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Cancer Research and 8 papers in Surgery. Recurrent topics in Chang Han's work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (10 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers). Chang Han is often cited by papers focused on MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (10 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers). Chang Han collaborates with scholars based in United States, China and South Korea. Chang Han's co-authors include Tong Wu, Jinqiang Zhang, Kyoungsub Song, Joseph D. Szustakowski, Hanqing Zhu, Dongdong Lu, Ariella Sasson, William J. Geese, Ryan Golhar and Hyunjoo Kwon and has published in prestigious journals such as Journal of the American Chemical Society, Gastroenterology and PLoS ONE.

In The Last Decade

Chang Han

38 papers receiving 2.0k citations

Hit Papers

Tumor Mutational Burden and Efficacy of Nivolumab Monothe... 2018 2026 2020 2023 2018 200 400 600

Peers

Chang Han
Comparison fields: 5 of 102
  • Molecular Biology 983
  • Cancer Research 943
  • Oncology 837
  • Pulmonary and Respiratory Medicine 390
  • Epidemiology 337
Replace Umesh Bhanot with:
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Guo‐Ming Shi China
Qihan Fu China
Daniel R. Principe United States
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Shanzhou� Huang China
Josep Domingo‐Domenech United States
Zhihua Li China
Chengrong Xie China
Géraldine Gentric France
Umesh Bhanot United States View profile →
Citations per field, relative to Chang Han
Chang Han · 1×
Citations per year, relative to Chang Han
Chang Han · 1×

Countries citing papers authored by Chang Han

Since Specialization
Citations

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

Fields of papers citing papers by Chang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Han. A scholar is included among the top collaborators of Chang 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 Chang Han. Chang 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 4
4 5
5 10
6 8
7 25
8 38
9 8
10
Tumor Mutational Burden and Efficacy of Nivolumab Monotherapy and in Combination with Ipilimumab in Small-Cell Lung Cancer breakdown →
670
11 61
12 162
13 40
14 22
15 35
16 22
17 82
18 52
19 121
20 152

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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