Phumla Sinxadi

40 papers receiving 519 citations

Peers

Phumla Sinxadi
Comparison fields: 5 of 63
  • Emergency Medicine 168
  • Virology 93
  • Infectious Diseases 196
  • Pharmacology 48
  • Clinical Biochemistry 18
Replace Eric C. M. Van Gorp with:
Eric C. M. Van Gorp Netherlands
Daniel Seekins United States
Rustin D. Crutchley United States
L. Tong United States
Michelle Bentata France
Sara E. Gibbons United Kingdom
Deirdre Egan United Kingdom
Agnes I. Veldkamp Netherlands
Linda Akagi Canada
Munehiro Yoshino Japan
Phumla Sinxadi relative to Eric C. M. Van Gorp Netherlands Eric C. M. Van Gorp's profile →
Citations per field
00.5×10×15×19.3×
Eric C. M. Van Gorp · 1×
Citations per year

Countries citing papers authored by Phumla Sinxadi

Since Specialization
Citations

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

Fields of papers citing papers by Phumla Sinxadi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Phumla Sinxadi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Phumla Sinxadi Line = papers co-authored together Phumla Sinxadi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202067
2 201563
3 201347
4 202043
5 202040
6 201634
7 201929
8 201818
9 201316
10 201515
11 202113
12 201913
13 202112
14
Warfarin resistance : cardiovascular prescriber
200811
15 20229
16
Warfarin resistance.
20088
17 20237
18 20217
19 20246
20 20236

About Phumla Sinxadi

Phumla Sinxadi is a scholar working on Infectious Diseases, Pharmacology, Emergency Medicine, Virology and Public Health, Environmental and Occupational Health, having authored 47 papers that have together received 523 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (16 papers), HIV-related health complications and treatments (8 papers), Pharmacogenetics and Drug Metabolism (7 papers), HIV Research and Treatment (4 papers), HIV/AIDS Research and Interventions (3 papers), Pharmaceutical Economics and Policy (3 papers), Biosimilars and Bioanalytical Methods (3 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Emergency Medicine (168 citations), Virology (93 citations), Infectious Diseases (196 citations), Pharmacology (48 citations) and Clinical Biochemistry (18 citations). Phumla Sinxadi has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Gary Maartens, David W. Haas, Helen McIlleron, Peter J. Smith, Naomi Levitt, Joel A. Dave, Simiso Sokhela, François Venter, Lubbe Wiesner and Godspower Akpomiemie. Their work appears in journals such as Clinical Infectious Diseases, British Journal of Clinical Pharmacology, Pharmacogenetics and Genomics, AIDS Research and Therapy and CPT Pharmacometrics & Systems Pharmacology.

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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