William Welfare

35 papers receiving 602 citations

Peers

William Welfare
Comparison fields: 5 of 83
  • Applied Microbiology and Biotechnology 181
  • Molecular Medicine 68
  • Infectious Diseases 147
  • Small Animals 40
  • Epidemiology 150
Replace Birgitta Schweickert with:
Birgitta Schweickert Germany
Nikolaos Spernovasilis Greece
Dilek İnce United States
Angkana Sommanustweechai Thailand
Marquita Gittens-St. Hilaire Barbados
Victor Daka Zambia
Joshua Havumaki United States
Khalid Mubarak Bindayna Bahrain
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Şiran Keske Türkiye
William Welfare relative to Birgitta Schweickert Germany Birgitta Schweickert's profile →
Citations per field
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Citations per year

Countries citing papers authored by William Welfare

Since Specialization
Citations

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

Fields of papers citing papers by William Welfare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William Welfare, 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 William Welfare Line = papers co-authored together William Welfare links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201683
2 201959
3 201955
4 201438
5 200134
6 202032
7 201627
8 201823
9 201723
10 202120
11 201219
12 201819
13 201515
14 202213
15 201813
16 201312
17 202012
18 201512
19 20219
20 20109

About William Welfare

William Welfare is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases, Epidemiology, Pulmonary and Respiratory Medicine and Molecular Medicine, having authored 35 papers that have together received 609 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (11 papers), Antibiotic Resistance in Bacteria (3 papers), Tuberculosis Research and Epidemiology (3 papers), Patient Satisfaction in Healthcare (2 papers), Pneumonia and Respiratory Infections (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Syphilis Diagnosis and Treatment (2 papers) and Healthcare Systems and Technology (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (181 citations), Molecular Medicine (68 citations), Infectious Diseases (147 citations), Small Animals (40 citations) and Epidemiology (150 citations). William Welfare has collaborated with scholars based in United Kingdom, Netherlands and Switzerland. Frequent co-authors include Tjeerd van Staa, Victoria Palin, Darren M. Ashcroft, David W. Denning, Andrew White, Anna Mölter, Miguel Belmonte, Li Yan, Magdalena Nowakowska and Matthew Sperrin. Their work appears in journals such as Journal of Hospital Infection, BMJ Open, Journal of Antimicrobial Chemotherapy, BMC 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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