Will Bartlett

140 papers receiving 3.2k citations

Will Bartlett's Hit Papers

Autologous chondrocyte implantation versus matrix-induced autologous chondrocyte implantation for osteochondral defects of the knee 2005 · 566 citations
5660+7+14Years since publication100200300400500

Peers

Will Bartlett
Comparison fields: 5 of 148
  • Rheumatology 1.1k
  • Developmental Neuroscience 258
  • Urology 239
  • Management of Technology and Innovation 190
  • Strategy and Management 312
Replace Robert W. Jackman with:
Robert W. Jackman United States
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John D. Blair United States
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Citations per field
00.5×10×20×32.3×
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Citations per year

Countries citing papers authored by Will Bartlett

Since Specialization
Citations

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

Fields of papers citing papers by Will Bartlett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Autologous chondrocyte implantation versus matrix-induced autologous chondrocyte implantation for osteochondral defects of the knee
Hit paper breakdown →
2005566
2 2006281
3 2005159
4 2005147
5 1991123
6 1987120
7 1992100
8
200197
9 200774
10 201274
11 199167
12
Quasi-Markets in the Welfare State
199467
13 198856
14 201252
15 199249
16 199148
17 201046
18 201345
19
A revolution in social policy: Quasi-market reforms in the 1990s
199843
20 200942

About Will Bartlett

Will Bartlett is a scholar working on Political Science and International Relations, Economics and Econometrics, Strategy and Management, Surgery and Education, having authored 151 papers that have together received 3.5k indexed citations. Recurring topics across this work include Regional Development and Policy (17 papers), Social Policy and Reform Studies (13 papers), Entrepreneurship Studies and Influences (10 papers), Knee injuries and reconstruction techniques (10 papers), Healthcare innovation and challenges (10 papers), Healthcare Policy and Management (9 papers), Osteoarthritis Treatment and Mechanisms (8 papers) and Global Trade and Competitiveness (8 papers). The work is most often cited by research in Rheumatology (1.1k citations), Developmental Neuroscience (258 citations), Urology (239 citations), Management of Technology and Innovation (190 citations) and Strategy and Management (312 citations). Will Bartlett has collaborated with scholars based in United Kingdom, United States and Serbia. Frequent co-authors include John Skinner, Richard Carrington, G. Bentley, Christopher R. Gooding, Adrienne M. Flanagan, Twr Briggs, Robert P. Skoff, Pamela E. Knapp, Marianne Williams and Stephen J. Benkovic. Their work appears in journals such as The Knee, Southeastern Europe, Developmental Biology, Industrial and Labor Relations Review and Journal of Sport Rehabilitation.

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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