Chris Schilling

49 papers receiving 690 citations

Peers

Chris Schilling
Comparison fields: 5 of 104
  • Epidemiology 220
  • Health Informatics 10
  • Surgery 240
  • Cardiology and Cardiovascular Medicine 61
  • Public Health, Environmental and Occupational Health 55
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Jiajie Yu China
Dušan Micić Serbia
Jean-Luc Eiselé Switzerland
Sean M. O’Brien United States
Martina Recalde Spain
Rémi Schweizer France
Antônio Carlos Pires Brazil
Faraja S. Chiwanga Tanzania
Winston Wing‐Shing Fung Hong Kong
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Countries citing papers authored by Chris Schilling

Since Specialization
Citations

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

Fields of papers citing papers by Chris Schilling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016154
2 201379
3 201636
4 201633
5 201632
6 202127
7 201623
8 201521
9 201719
10 201819
11 202118
12 201917
13 202017
14 202316
15 201816
16 202314
17 202114
18 202012
19 201811
20 201711

About Chris Schilling

Chris Schilling is a scholar working on Surgery, Epidemiology, Economics and Econometrics, Public Health, Environmental and Occupational Health and General Agricultural and Biological Sciences, having authored 52 papers that have together received 707 indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (18 papers), Congenital Heart Disease Studies (6 papers), Ethics in Clinical Research (4 papers), Agricultural Economics and Policy (3 papers), Agricultural Innovations and Practices (3 papers), Orthopaedic implants and arthroplasty (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers) and Economic and Environmental Valuation (2 papers). The work is most often cited by research in Epidemiology (220 citations), Health Informatics (10 citations), Surgery (240 citations), Cardiology and Cardiovascular Medicine (61 citations) and Public Health, Environmental and Occupational Health (55 citations). Chris Schilling has collaborated with scholars based in Australia, New Zealand and United Kingdom. Frequent co-authors include Peter Choong, Michelle M. Dowsey, Philip Clarke, Kim Dalziel, Yves d’Udekem, David Scott Winlaw, William Kaye‐Blake, Andrew M. Bullock, Dorothy J. Radford and Robert N Justo. Their work appears in journals such as The Journal of Arthroplasty, The Medical Journal of Australia, ANZ Journal of Surgery, International Journal of Cardiology and JAMA Network Open.

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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