Marc K. Walton

2.3k citations
25 papers · 1.4k indexed · 1 hit paper · h-index 15
Topics
Health Systems, Economic Evaluations, Quality of Life (8 papers)Statistical Methods in Clinical Trials (8 papers)Meta-analysis and systematic reviews (5 papers)

In The Last Decade

Marc K. Walton

24 papers receiving 1.3k citations

Hit Papers

The Human Immune Response to Respiratory Syncytial Virus ...2017202620202023201750100150200250

Peers

Marc K. Walton
Comparison fields: 5 of 138
  • Epidemiology 267
  • Neurology 256
  • Surgery 155
  • Pulmonary and Respiratory Medicine 148
  • Economics and Econometrics 147
Replace Frank Peinemann with:
Frank Peinemann Germany
Sarah R. Haile Switzerland
Cristian Pattaro Italy
Ann Lazar United States
Chunyan Cai United States
Elaine Kingwell Canada
Taye H. Hamza United States
Charity Evans Canada
Annabel Barrett United Kingdom
B. Baujat France
Marc K. Walton relative to Frank Peinemann Germany Frank Peinemann's profile →
Citations per field
00.5×2.6×
Frank Peinemann · 1×
Citations per year

Countries citing papers authored by Marc K. Walton

Since Specialization
Citations

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

Fields of papers citing papers by Marc K. Walton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc K. Walton. 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 Marc K. Walton. The network helps show where Marc K. Walton may publish in the future.

Co-authorship network of co-authors of Marc K. Walton

This figure shows the co-authorship network connecting the top 25 collaborators of Marc K. Walton. A scholar is included among the top collaborators of Marc K. Walton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc K. Walton. Marc K. Walton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 8
3 60
4 36
5 56
6 30
7 106
8 79
9 7
10
National Institutes of Health Consensus Development Project on Criteria for Clinical Trials in Chronic Graft-Versus-Host Disease: III. The 2014 Biomarker Working Group Report
1
11 180
12 98
13 8
14 28
15 17
16 26
17 242
18 1
19 9
20 33

About Marc K. Walton

Marc K. Walton is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Neurology, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (8 papers), Statistical Methods in Clinical Trials (8 papers) and Meta-analysis and systematic reviews (5 papers). The work is most often cited by research in Neurology (256 citations), Dermatology (97 citations) and Statistics and Probability (84 citations). Marc K. Walton has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jürgen Schwarze, Stefan Unger, Clark D Russell, Jacquelyn A. Polder, Timothy R. Coté, Aparna Mohan, M. Miles Braun, Elizabeth Molsen, Spiros Vamvakas and Stefan Cano. Their work appears in journals such as The Journal of Physiology, Clinical Microbiology Reviews and BMJ.

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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