Houriiyah Tegally

16.7k citations
22 papers · 331 indexed · h-index 10
Topics
SARS-CoV-2 and COVID-19 Research (12 papers)Bacteriophages and microbial interactions (6 papers)COVID-19 epidemiological studies (4 papers)

In The Last Decade

Houriiyah Tegally

20 papers receiving 325 citations

Peers

Houriiyah Tegally
Comparison fields: 5 of 92
  • Infectious Diseases 192
  • Molecular Biology 100
  • Ecology 38
  • Modeling and Simulation 33
  • Animal Science and Zoology 32
Replace Saathvik R. Kannan with:
Saathvik R. Kannan United States
Saki Matsumoto Japan
Toong Seng Tan Japan
Ilona Kronig Switzerland
Joynob Akter Puspo Bangladesh
Erik Boehm Switzerland
Daniel Sellers United States
Ziteng Liang China
Lindsey R. Robinson‐McCarthy United States
Tammy Armbrust United States
Houriiyah Tegally relative to Saathvik R. Kannan United States Saathvik R. Kannan's profile →
Citations per field
00.5×1.6×
Saathvik R. Kannan · 1×
Citations per year

Countries citing papers authored by Houriiyah Tegally

Since Specialization
Citations

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

Fields of papers citing papers by Houriiyah Tegally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Houriiyah Tegally

This figure shows the co-authorship network connecting the top 25 collaborators of Houriiyah Tegally. A scholar is included among the top collaborators of Houriiyah Tegally 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 Houriiyah Tegally. Houriiyah Tegally 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 6
3 0
4 4
5 3
6 2
7 5
8 1
9 24
10 3
11 35
12 9
13 9
14 28
15 5
16 50
17 59
18 5
19 54
20 17

About Houriiyah Tegally

Houriiyah Tegally is a scholar working on Modeling and Simulation, Infectious Diseases and Ecology, having authored 22 papers that have together received 331 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), Bacteriophages and microbial interactions (6 papers) and COVID-19 epidemiological studies (4 papers). The work is most often cited by research in Infectious Diseases (192 citations), Modeling and Simulation (33 citations) and Animal Science and Zoology (32 citations). Houriiyah Tegally has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Túlio de Oliveira, Jennifer Giandhari, Eduan Wilkinson, James Emmanuel San, Richard Lessells, Sureshnee Pillay, Khulekani Sedwell Khanyile, Maryam Fish, Benjamin Chimukangara and Vagner Fonseca. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases and Scientific Reports.

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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