William Welfare

5.0k citations
35 papers · 594 · h-index 14

Impact in

Papers in

William Welfare

35 papers receiving 587 citations

Peers

William Welfare
Comparison fields: 5 of 91
  • Applied Microbiology and Biotechnology 192
  • Molecular Medicine 70
  • Infectious Diseases 173
  • Endocrinology 36
  • Geriatrics and Gerontology 27
Replace Claire Bernède‐Bauduin with:
Claire Bernède‐Bauduin France
Birgitta Schweickert Germany
Nikolaos Spernovasilis Greece
Patience B. Tetteh‐Quarcoo Ghana
Carlos Bantar Argentina
Michael D. Nailor United States
Joel Bazira Uganda
Indy Sandaradura Australia
Kumthorn Malathum Thailand
Ajith Nagahawatte Sri Lanka
William Welfare relative to Claire Bernède‐Bauduin France Claire Bernède‐Bauduin's profile →
Citations per field
00.5×4.3×
Claire Bernède‐Bauduin · 1×
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 201958
3 201953
4 201436
5 200134
6 202030
7 201627
8 201823
9 201722
10 202120
11 201219
12 201819
13 201515
14 202213
15 201813
16 201312
17 201512
18 202011
19 20159
20 20119

About William Welfare

William Welfare is a scholar working on Epidemiology, General Health Professions, Applied Microbiology and Biotechnology, Infectious Diseases and Organizational Behavior and Human Resource Management, having authored 35 papers that have together received 594 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (12 papers), Patient Satisfaction in Healthcare (11 papers), Pneumonia and Respiratory Infections (9 papers), Healthcare Systems and Technology (5 papers), Antibiotic Resistance in Bacteria (4 papers), Tuberculosis Research and Epidemiology (3 papers), HIV/AIDS Impact and Responses (2 papers) and Adolescent Sexual and Reproductive Health (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (192 citations), Molecular Medicine (70 citations), Infectious Diseases (173 citations), Endocrinology (36 citations) and Geriatrics and Gerontology (27 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, Li Yan, Magdalena Nowakowska, Matthew Sperrin and G. P. Brennan. Their work appears in journals such as Journal of Hospital Infection, BMJ Open, Journal of Antimicrobial Chemotherapy, Clinical Infectious Diseases and BMC Medicine.

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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