Angela Williams‐Diaz

3.1k citations
13 papers · 944 indexed · 1 hit paper · h-index 10
Topics
SARS-CoV-2 and COVID-19 Research (5 papers)Respiratory viral infections research (4 papers)COVID-19 Clinical Research Studies (4 papers)

In The Last Decade

Angela Williams‐Diaz

11 papers receiving 910 citations

Hit Papers

Safety and efficacy of raltegravir-based versus efavirenz...20092026201420202009100200300400

Peers

Angela Williams‐Diaz
Comparison fields: 5 of 82
  • Infectious Diseases 708
  • Virology 407
  • Epidemiology 304
  • Emergency Medicine 95
  • Molecular Biology 80
Replace Kim M. Strohmaier with:
Kim M. Strohmaier United States
Pierre de Truchis France
Barbara Gripshover United States
Hadewych J. M. ter Hofstede Netherlands
Isabelle Ravaux France
María Stella Mura Italy
Soumya Swaminathan India
Ana Canestri France
Sabrina Audagnotto Italy
T. May France
Angela Williams‐Diaz relative to Kim M. Strohmaier United States Kim M. Strohmaier's profile →
Citations per field
00.5×4.4×
Kim M. Strohmaier · 1×
Citations per year

Countries citing papers authored by Angela Williams‐Diaz

Since Specialization
Citations

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

Fields of papers citing papers by Angela Williams‐Diaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angela Williams‐Diaz. 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 Angela Williams‐Diaz. The network helps show where Angela Williams‐Diaz may publish in the future.

Co-authorship network of co-authors of Angela Williams‐Diaz

This figure shows the co-authorship network connecting the top 25 collaborators of Angela Williams‐Diaz. A scholar is included among the top collaborators of Angela Williams‐Diaz 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 Angela Williams‐Diaz. Angela Williams‐Diaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 0
3 9
4 23
5 44
6 68
7 83
8 54
9 70
10
Safety and efficacy of raltegravir-based versus efavirenz-based combination therapy in treatment-naive patients with HIV-1 infection: a multicentre, double-blind randomised controlled trialbreakdown →
478
11 15
12 99
13 1

About Angela Williams‐Diaz

Angela Williams‐Diaz is a scholar working on Infectious Diseases, Virology and Epidemiology, having authored 13 papers that have together received 944 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Respiratory viral infections research (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Virology (407 citations), Infectious Diseases (708 citations) and Emergency Medicine (95 citations). Angela Williams‐Diaz has collaborated with scholars based in United States, Russia and France. Frequent co-authors include Xia Xu, Daniel S Berger, Peter Sklar, Richard B. Pollard, José Valdez Madruga, Bach-Yen Nguyen, Edwin DeJesus, Richard J. O. Barnard, Michael D. Miller and Jeffrey L. Lennox. Their work appears in journals such as The Lancet, Annals of Internal Medicine and Clinical Infectious Diseases.

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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