Marc K. Walton
- Neurology top 5%
- Dermatology top 5%
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials 8
- Hematology top 10%
- Epidemiology top 10%
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- Health Systems, Economic Evaluations, Quality of Life 8
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- Meta-analysis and systematic reviews 5
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- Delphi Technique in Research 3
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- Neuroscience and Neuropharmacology Research 2
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- Hip and Femur Fractures 2
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- Acute Lymphoblastic Leukemia research 2
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- Biosimilars and Bioanalytical Methods 2
- Co-authors
- Jürgen SchwarzeStefan UngerClark D RussellJacquelyn A. PolderTimothy R. CotéAparna MohanM. Miles BraunElizabeth Molsen
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Marc K. Walton
24 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Neurology 256
- Dermatology 97
- Statistics and Probability 84
- Hematology 90
- Epidemiology 267
Countries citing papers authored by Marc K. Walton
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
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
The 25 scholars most cited alongside Marc K. Walton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2022 | 8 | |
| 3 | 2020 | 60 | |
| 4 | 2020 | 36 | |
| 5 | 2018 | 56 | |
| 6 | 2018 | 30 | |
| 7 | 2017 | 106 | |
| 8 | 2017 | 79 | |
| 9 | 2016 | 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 | 2015 | 1 |
| 11 | 2015 | 180 | |
| 12 | 2015 | 98 | |
| 13 | 2014 | 8 | |
| 14 | 2012 | 28 | |
| 15 | 2011 | 17 | |
| 16 | 2011 | 26 | |
| 17 | 2005 | 242 | |
| 18 | 2004 | 1 | |
| 19 | 1999 | 9 | |
| 20 | 1998 | 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), Meta-analysis and systematic reviews (5 papers), Delphi Technique in Research (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Hip and Femur Fractures (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Biosimilars and Bioanalytical Methods (2 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.