Wan Ni Chia

9.5k citations
43 papers · 4.1k indexed · 4 hit papers · h-index 19
Topics
SARS-CoV-2 and COVID-19 Research (17 papers)Mosquito-borne diseases and control (9 papers)COVID-19 Clinical Research Studies (9 papers)

In The Last Decade

Wan Ni Chia

42 papers receiving 4.0k citations

Hit Papers

SARS-CoV-2-specific T cell immunity in cases of...201520262018202220202020201520214008001.2k

Peers

Wan Ni Chia
Comparison fields: 5 of 140
  • Infectious Diseases 3.1k
  • Molecular Biology 861
  • Immunology 649
  • Neurology 466
  • Public Health, Environmental and Occupational Health 408
Replace Aaron F. Carlin with:
Aaron F. Carlin United States
Chee Wah Tan Singapore
Kin‐Hang Kok Hong Kong
Lisa E. Gralinski United States
José Mateus United States
Jennifer M. Dan United States
Darryl Falzarano Canada
Stephen A. Rawlings United States
Fatima Amanat United States
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Wan Ni Chia relative to Aaron F. Carlin United States Aaron F. Carlin's profile →
Citations per field
00.5×1.5×
Aaron F. Carlin · 1×
Citations per year

Countries citing papers authored by Wan Ni Chia

Since Specialization
Citations

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

Fields of papers citing papers by Wan Ni Chia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wan Ni Chia. 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 Wan Ni Chia. The network helps show where Wan Ni Chia may publish in the future.

Co-authorship network of co-authors of Wan Ni Chia

This figure shows the co-authorship network connecting the top 25 collaborators of Wan Ni Chia. A scholar is included among the top collaborators of Wan Ni Chia 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 Wan Ni Chia. Wan Ni Chia 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 2
2 1
3 0
4 5
5 6
6 1
7 19
8 7
9 24
10 4
11
Early induction of functional SARS-CoV-2-specific T cells associates with rapid viral clearance and mild disease in COVID-19 patientsbreakdown →
440
12 72
13 17
14 70
15 12
16 10
17 166
18 224
19 10
20 18

About Wan Ni Chia

Wan Ni Chia is a scholar working on Infectious Diseases, Modeling and Simulation and Virology, having authored 43 papers that have together received 4.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (17 papers), Mosquito-borne diseases and control (9 papers) and COVID-19 Clinical Research Studies (9 papers). The work is most often cited by research in Infectious Diseases (3.1k citations), Modeling and Simulation (377 citations) and Immunology (649 citations). Wan Ni Chia has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Lin‐Fa Wang, Mark Chen, Chee Wah Tan, Yee‐Joo Tan, Shirin Kalimuddin, Barnaby Edward Young, Martin Linster, David Chien Lye, Adeline Chia and Kamini Kunasegaran. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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