Chongjuan Wei

1.8k total citations
34 papers, 919 citations indexed

About

Chongjuan Wei is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Chongjuan Wei has authored 34 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Pathology and Forensic Medicine and 10 papers in Oncology. Recurrent topics in Chongjuan Wei's work include Genetic factors in colorectal cancer (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). Chongjuan Wei is often cited by papers focused on Genetic factors in colorectal cancer (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). Chongjuan Wei collaborates with scholars based in United States, China and United Kingdom. Chongjuan Wei's co-authors include Marsha L. Frazier, Christopher I. Amos, Kwok‐Kin Wong, Victor L. Fox, Jeffrey D. Goldsmith, Jianlong Sun, Allison N. Lau, Fernando D. Camargo, Stephen J. Curtis and Morvarid Mohseni and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Chongjuan Wei

32 papers receiving 902 citations

Peers

Chongjuan Wei
Comparison fields: 5 of 91
  • Molecular Biology 516
  • Cell Biology 273
  • Oncology 237
  • Pathology and Forensic Medicine 212
  • Cancer Research 171
Replace Nicolas Gadot with:
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Christina Halsey United Kingdom
Sébastien Jauliac France
Xiao Fang China
Aytekin Akyol Türkiye
Lyle E. Pegg United States
Fumiko Saito-Ohara Japan
Cynthia Rothblum‐Oviatt United States
Yongquan Tian China
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Nicolas Gadot France View profile →
Citations per field, relative to Chongjuan Wei
Chongjuan Wei · 1×
Citations per year, relative to Chongjuan Wei
Chongjuan Wei · 1×

Countries citing papers authored by Chongjuan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Chongjuan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chongjuan Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Chongjuan Wei. A scholar is included among the top collaborators of Chongjuan Wei 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 Chongjuan Wei. Chongjuan Wei 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 3
2 0
3 0
4 3
5 27
6 16
7 232
8 8
9 95
10 19
11 27
12 9
13 42
14 21
15 16
16 25
17 29
18 24
19 3
20 8

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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