Margaret Hellard

25.4k total citations · 4 hit papers
594 papers, 13.9k citations indexed

About

Margaret Hellard is a scholar working on Epidemiology, Hepatology and Infectious Diseases. According to data from OpenAlex, Margaret Hellard has authored 594 papers receiving a total of 13.9k indexed citations (citations by other indexed papers that have themselves been cited), including 405 papers in Epidemiology, 291 papers in Hepatology and 185 papers in Infectious Diseases. Recurrent topics in Margaret Hellard's work include Hepatitis C virus research (279 papers), HIV, Drug Use, Sexual Risk (197 papers) and Hepatitis B Virus Studies (182 papers). Margaret Hellard is often cited by papers focused on Hepatitis C virus research (279 papers), HIV, Drug Use, Sexual Risk (197 papers) and Hepatitis B Virus Studies (182 papers). Margaret Hellard collaborates with scholars based in Australia, United States and Canada. Margaret Hellard's co-authors include Megan S. C. Lim, Campbell Aitken, Jane S. Hocking, Joseph Doyle, Mark Stoové, Rachel Sacks‐Davis, Christopher K. Fairley, Jason Grebely, Gregory J. Dore and Judy Gold and has published in prestigious journals such as Nature, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Margaret Hellard

572 papers receiving 13.5k citations

Hit Papers

Global burden of HIV, viral hepatitis, and tuberculosis i... 2013 2026 2017 2021 2016 2013 2018 2019 100 200 300 400

Peers

Margaret Hellard
Comparison fields: 5 of 189
  • Epidemiology 8.3k
  • Hepatology 5.9k
  • Infectious Diseases 4.1k
  • General Health Professions 2.7k
  • Sociology and Political Science 1.9k
Replace Lisa Maher with:
Lisa Maher Australia
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Lisa Maher Australia View profile →
Citations per field, relative to Margaret Hellard
Margaret Hellard · 1×
Citations per year, relative to Margaret Hellard
Margaret Hellard · 1×

Countries citing papers authored by Margaret Hellard

Since Specialization
Citations

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

Fields of papers citing papers by Margaret Hellard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Hellard

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Hellard. A scholar is included among the top collaborators of Margaret Hellard 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 Margaret Hellard. Margaret Hellard 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 0
2 1
3 1
4 1
5 0
6 3
7 6
8 2
9 3
10 6
11 0
12 3
13 14
14 9
15 22
16 12
17 25
18
Knowledge and practices of chronic hepatitis B virus testing by general practitioners in Victoria, Australia, 2014-15.
8
19 34
20 19

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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