Andrew S. Azman

19.4k citations
141 papers · 7.8k indexed · 3 hit papers · h-index 32
Topics
Vibrio bacteria research studies (70 papers)COVID-19 epidemiological studies (58 papers)SARS-CoV-2 and COVID-19 Research (23 papers)

In The Last Decade

Andrew S. Azman

132 papers receiving 7.5k citations

Hit Papers

The Incubation Period of Coronavirus Disease 2019 (COVID-...202020262022202420202020202210002.0k3.0k

Peers

Andrew S. Azman
Comparison fields: 5 of 190
  • Infectious Diseases 3.6k
  • Modeling and Simulation 3.2k
  • Endocrinology 1.2k
  • Epidemiology 1.2k
  • Economics and Econometrics 942
Replace Justin Lessler with:
Justin Lessler United States
David N. Fisman Canada
Chih‐Cheng Lai Taiwan
Jaffar A. Al‐Tawfiq Saudi Arabia
John T. Brooks United States
Abdullah M. Assiri Saudi Arabia
Azra C. Ghani United Kingdom
Hung-Jen Tang Taiwan
Michael G. Baker New Zealand
Li Yang Hsu Singapore
Andrew S. Azman relative to Justin Lessler United States Justin Lessler's profile →
Citations per field
00.5×1.5×
Justin Lessler · 1×
Citations per year

Countries citing papers authored by Andrew S. Azman

Since Specialization
Citations

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

Fields of papers citing papers by Andrew S. Azman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew S. Azman. 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 Andrew S. Azman. The network helps show where Andrew S. Azman may publish in the future.

Co-authorship network of co-authors of Andrew S. Azman

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew S. Azman. A scholar is included among the top collaborators of Andrew S. Azman 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 Andrew S. Azman. Andrew S. Azman 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
#WorkIndexed citations
1 0
2 1
3 4
4 0
5 0
6 0
7 2
8 7
9 8
10 1
11 18
12 142
13 9
14 16
15 67
16 4
17 20
18 93
19 88
20 30

About Andrew S. Azman

Andrew S. Azman is a scholar working on Endocrinology, Modeling and Simulation and Infectious Diseases, having authored 141 papers that have together received 7.8k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (70 papers), COVID-19 epidemiological studies (58 papers) and SARS-CoV-2 and COVID-19 Research (23 papers). The work is most often cited by research in Modeling and Simulation (3.2k citations), Endocrinology (1.2k citations) and Infectious Diseases (3.6k citations). Andrew S. Azman has collaborated with scholars based in United States, Switzerland and Bangladesh. Frequent co-authors include Justin Lessler, Kyra H. Grantz, Stephen A. Lauer, Qifang Bi, Qulu Zheng, Forrest K. Jones, Hannah R. Meredith, Nicholas G Reich, Derek A. T. Cummings and Henrik Salje. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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