Rachel Sacks‐Davis

3.4k total citations
79 papers, 1.8k citations indexed

About

Rachel Sacks‐Davis is a scholar working on Epidemiology, Hepatology and Infectious Diseases. According to data from OpenAlex, Rachel Sacks‐Davis has authored 79 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Epidemiology, 52 papers in Hepatology and 21 papers in Infectious Diseases. Recurrent topics in Rachel Sacks‐Davis's work include Hepatitis C virus research (51 papers), Liver Disease Diagnosis and Treatment (29 papers) and HIV, Drug Use, Sexual Risk (28 papers). Rachel Sacks‐Davis is often cited by papers focused on Hepatitis C virus research (51 papers), Liver Disease Diagnosis and Treatment (29 papers) and HIV, Drug Use, Sexual Risk (28 papers). Rachel Sacks‐Davis collaborates with scholars based in Australia, Netherlands and United States. Rachel Sacks‐Davis's co-authors include Margaret Hellard, Judy Gold, Alisa Pedrana, Mark Stoové, Campbell Aitken, Peter Higgs, David A. Rolls, Garry Robins, Philippa Pattison and Jason Grebely and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

In The Last Decade

Rachel Sacks‐Davis

74 papers receiving 1.7k citations

Peers

Rachel Sacks‐Davis
Comparison fields: 5 of 124
  • Epidemiology 1.2k
  • Hepatology 1.1k
  • Infectious Diseases 374
  • General Health Professions 246
  • Sociology and Political Science 178
Replace Alisa Pedrana with:
Alisa Pedrana Australia
Ghina R. Mumtaz Qatar
Fuqiang Cui China
Hsu‐Sung Kuo Taiwan
Sunil S. Solomon United States
Basmattee Boodram United States
Alec Miners United Kingdom
Christopher J. Hoffmann United States
Ying-Ru Lo Switzerland
Deborah Cotton United States
Alisa Pedrana Australia View profile →
Citations per field, relative to Rachel Sacks‐Davis
Rachel Sacks‐Davis · 1×
Citations per year, relative to Rachel Sacks‐Davis
Rachel Sacks‐Davis · 1×

Countries citing papers authored by Rachel Sacks‐Davis

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Sacks‐Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel Sacks‐Davis. 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 Rachel Sacks‐Davis. The network helps show where Rachel Sacks‐Davis may publish in the future.

Co-authorship network of co-authors of Rachel Sacks‐Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Sacks‐Davis. A scholar is included among the top collaborators of Rachel Sacks‐Davis 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 Rachel Sacks‐Davis. Rachel Sacks‐Davis 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 1
2 2
3 2
4 1
5 1
6 0
7 1
8 1
9 6
10 9
11 6
12 6
13
Modelling the impact of reducing control measures on the COVID-19 pandemic in a low transmission setting
2
14 35
15 9
16 8
17 54
18 7
19 1
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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