D. Williams

642 citations
10 papers · 537 · h-index 9

Impact in

  • Epidemiology top 10%
    • Pneumocystis jirovecii pneumonia detection and treatment
    • Pneumonia and Respiratory Infections
    • Tuberculosis Research and Epidemiology
    • HIV/AIDS drug development and treatment
    • Antifungal resistance and susceptibility

Papers in

    • Pneumocystis jirovecii pneumonia detection and treatment 5
    • Pneumonia and Respiratory Infections 4
    • Mycobacterium research and diagnosis 1
    • HIV/AIDS drug development and treatment 2
    • HIV/AIDS Research and Interventions 1

D. Williams

10 papers receiving 505 citations

Peers

D. Williams
Comparison fields: 5 of 72
  • Epidemiology 304
  • Infectious Diseases 161
  • Immunology 151
  • Microbiology 24
  • Molecular Medicine 17
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D. Williams relative to Rajamouli Pasula United States Rajamouli Pasula's profile →
Citations per field
00.5×1.5×2×
Rajamouli Pasula · 1×
Citations per year

Countries citing papers authored by D. Williams

Since Specialization
Citations

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

Fields of papers citing papers by D. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside D. Williams, 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 D. Williams Line = papers co-authored together D. Williams links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1991394
2 199628
3 199927
4 199419
5 199117
6 199816
7 199812
8 199510
9 199510
10
Enhanced care coordination improves HIV viral load suppression rates.
20194

About D. Williams

D. Williams is a scholar working on Epidemiology, Infectious Diseases, Pharmacology, Pulmonary and Respiratory Medicine and Organic Chemistry, having authored 10 papers that have together received 537 indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Pneumonia and Respiratory Infections (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), HIV/AIDS drug development and treatment (2 papers), Respiratory and Cough-Related Research (2 papers), HIV/AIDS Research and Interventions (1 paper), Mycobacterium research and diagnosis (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Epidemiology (304 citations), Infectious Diseases (161 citations), Immunology (151 citations), Microbiology (24 citations) and Molecular Medicine (17 citations). D. Williams has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Martine Y. K. Armstrong, Richard M. Rose, R. Alan B. Ezekowitz, Henry Koziel, F F Richards, S. Hopkins, Samuel E. McLinn, Marcus Zervos, Mary Beth Perri and Michael W. Dunne. Their work appears in journals such as The Pediatric Infectious Disease Journal, European Journal of Clinical Microbiology & Infectious Diseases, Antimicrobial Agents and Chemotherapy, Nature and The American Journal of Surgery.

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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