Chang Cai

2.3k total citations
97 papers, 1.1k citations indexed

About

Chang Cai is a scholar working on Epidemiology, Molecular Medicine and Infectious Diseases. According to data from OpenAlex, Chang Cai has authored 97 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Epidemiology, 27 papers in Molecular Medicine and 24 papers in Infectious Diseases. Recurrent topics in Chang Cai's work include Antibiotic Resistance in Bacteria (27 papers), HIV, Drug Use, Sexual Risk (14 papers) and HIV/AIDS Research and Interventions (13 papers). Chang Cai is often cited by papers focused on Antibiotic Resistance in Bacteria (27 papers), HIV, Drug Use, Sexual Risk (14 papers) and HIV/AIDS Research and Interventions (13 papers). Chang Cai collaborates with scholars based in China, Australia and United States. Chang Cai's co-authors include Yang Wang, Rong Zhang, Zhangqi Shen, Timothy R. Walsh, Congming Wu, Ian Robertson, Qianqian Qin, Shaolin Wang, Jianzhong Shen and Ning Dong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Chang Cai

91 papers receiving 1.1k citations

Peers

Chang Cai
Comparison fields: 5 of 131
  • Molecular Medicine 351
  • Infectious Diseases 235
  • Pollution 225
  • Epidemiology 205
  • Molecular Biology 170
Replace Ron Read with:
Ron Read Canada
Ana Cláudia Coelho Portugal
E. Jane Parmley Canada
Vibeke Frøkjær Jensen Denmark
Arshad Ismail South Africa
Sadeeq ur Rahman Pakistan
Megan E. Jacob United States
Helle Korsgaard Denmark
Flávia Rossi Brazil
Marwan Osman Lebanon
Ron Read Canada View profile →
Citations per field, relative to Chang Cai
Chang Cai · 1×
Citations per year, relative to Chang Cai
Chang Cai · 1×

Countries citing papers authored by Chang Cai

Since Specialization
Citations

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

Fields of papers citing papers by Chang Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Cai. A scholar is included among the top collaborators of Chang Cai 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 Cai. Chang Cai 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 1
2 5
3 2
4 1
5 0
6 14
7 0
8 1
9 0
10 14
11 0
12 13
13 8
14 11
15 13
16 12
17 18
18
[Characteristics of HIV transmission through heterosexual contact in China, 2008-2014].
11
19 2
20
Construction of Genetic Linkage Map of Burley Tobacco(Nicotiana tabacum L.) and Genetic Dissection of Partial Traits
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.

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