Chang‐Xin Shi

688 total citations
30 papers, 468 citations indexed

About

Chang‐Xin Shi is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Chang‐Xin Shi has authored 30 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Hematology and 5 papers in Immunology. Recurrent topics in Chang‐Xin Shi's work include Multiple Myeloma Research and Treatments (14 papers), Protein Degradation and Inhibitors (10 papers) and Acute Myeloid Leukemia Research (4 papers). Chang‐Xin Shi is often cited by papers focused on Multiple Myeloma Research and Treatments (14 papers), Protein Degradation and Inhibitors (10 papers) and Acute Myeloid Leukemia Research (4 papers). Chang‐Xin Shi collaborates with scholars based in United States, Canada and China. Chang‐Xin Shi's co-authors include A. Keith Stewart, Xiu-Bao Chang, Marta Chesi, P. Leif Bergsagel, Hongtao Fu, Xueyu Geng, Ziyang Gao, Rodger E. Tiedemann, Yuanqiang Cai and Jun Wang and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Chang‐Xin Shi

30 papers receiving 464 citations

Peers

Chang‐Xin Shi
Comparison fields: 5 of 87
  • Molecular Biology 208
  • Hematology 169
  • Oncology 120
  • Immunology 73
  • Civil and Structural Engineering 43
Replace Yi-song Xiong with:
Yi-song Xiong China
Longlong Xie China
Tzu‐Hung Hsiao Taiwan
Rui Cui China
Michał Jeleń Poland
Amal Fawzy Egypt
Juan Albanell United States
Anna Kulidjian United States
Da Zhang China
Kiyoshi Sekiguchi Japan
Yi-song Xiong China View profile →
Citations per field, relative to Chang‐Xin Shi
Chang‐Xin Shi · 1×
Citations per year, relative to Chang‐Xin Shi
Chang‐Xin Shi · 1×

Countries citing papers authored by Chang‐Xin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Xin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang‐Xin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Xin Shi. A scholar is included among the top collaborators of Chang‐Xin Shi 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‐Xin Shi. Chang‐Xin Shi 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 2
2 1
3 18
4 67
5 13
6 16
7 3
8 10
9 46
10 12
11 1
12 10
13 22
14 54
15 5
16 8
17 51
18 1
19 19
20
[Sequencing of adenovirus type 7 vaccine strain fragment and characterization of the hexon encoding gene].
1

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