Indira Hewlett

5.2k citations
155 papers · 3.7k indexed · 1 hit paper · h-index 33
Topics
HIV Research and Treatment (95 papers)HIV/AIDS drug development and treatment (52 papers)HIV/AIDS Research and Interventions (18 papers)

In The Last Decade

Indira Hewlett

153 papers receiving 3.6k citations

Hit Papers

Current Approaches for Diagnosis of Influenza Virus Infec...2016202620192022201650100150200

Peers

Indira Hewlett
Comparison fields: 5 of 138
  • Infectious Diseases 1.3k
  • Virology 1.2k
  • Molecular Biology 1.2k
  • Epidemiology 988
  • Immunology 590
Replace Carl V. Hanson with:
Carl V. Hanson United States
Ricardo Sobhie Diaz Brazil
Bernard Horowitz United States
Graham Simmons United States
Helga Rübsamen‐Waigmann Germany
Davide Gibellini Italy
Han G. Huisman Netherlands
Jianqing Xu China
Shixing Tang China
Maria Carla Re Italy
Indira Hewlett relative to Carl V. Hanson United States Carl V. Hanson's profile →
Citations per field
00.5×4.8×
Carl V. Hanson · 1×
Citations per year

Countries citing papers authored by Indira Hewlett

Since Specialization
Citations

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

Fields of papers citing papers by Indira Hewlett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indira Hewlett

This figure shows the co-authorship network connecting the top 25 collaborators of Indira Hewlett. A scholar is included among the top collaborators of Indira Hewlett 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 Indira Hewlett. Indira Hewlett 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 3
2 9
3 7
4 23
5 15
6 44
7 15
8 43
9 9
10 13
11 34
12 25
13 9
14 28
15 18
16 11
17 12
18 11
19 7
20 1

About Indira Hewlett

Indira Hewlett is a scholar working on Virology, Infectious Diseases and Immunology, having authored 155 papers that have together received 3.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (95 papers), HIV/AIDS drug development and treatment (52 papers) and HIV/AIDS Research and Interventions (18 papers). The work is most often cited by research in Virology (1.2k citations), Infectious Diseases (1.3k citations) and Hepatology (250 citations). Indira Hewlett has collaborated with scholars based in United States, Cameroon and Thailand. Frequent co-authors include Jiangqin Zhao, Shixing Tang, Mohan Haleyurgirisetty, Xue Wang, Santanu Biswas, Jay S. Epstein, Viswanath Ragupathy, Krishnakumar Devadas, Subhash Dhawan and Jikun Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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