Mark Walderhaug

30 papers receiving 2.0k citations

Mark Walderhaug's Hit Papers

Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review 2017 · 426 citations
4260+3+6Years since publication100200300400

Peers

Mark Walderhaug
Comparison fields: 5 of 154
  • Health Informatics 76
  • Biotechnology 281
  • Endocrinology 119
  • Toxicology 72
  • Health, Toxicology and Mutagenesis 253
Replace Chung‐Hsi Chou with:
Chung‐Hsi Chou Taiwan
Chandrabose Selvaraj India
Shahid Ullah Khan China
Trina Ekawati Tallei Indonesia
Mohammad Irshad India
A. W. Anderson United States
Hongbin Yang China
Zhang Wang China
Hee Young Cho South Korea
Warren Casey United States
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Citations per field
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Chung‐Hsi Chou · 1×
Citations per year

Countries citing papers authored by Mark Walderhaug

Since Specialization
Citations

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

Fields of papers citing papers by Mark Walderhaug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review
Hit paper breakdown →
2017426
2 1992334
3 2007313
4 1992173
5 1992151
6 1985110
7 201789
8 198778
9 198374
10 200460
11 200040
12 199034
13 198932
14 201625
15 201525
16 201324
17 198824
18 199519
19 200918
20 201216

About Mark Walderhaug

Mark Walderhaug is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Genetics, Food Science and Plant Science, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Salmonella and Campylobacter epidemiology (4 papers), Blood donation and transfusion practices (3 papers), Listeria monocytogenes in Food Safety (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers), DNA Repair Mechanisms (2 papers), Plant nutrient uptake and metabolism (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Health Informatics (76 citations), Biotechnology (281 citations), Endocrinology (119 citations), Toxicology (72 citations) and Health, Toxicology and Mutagenesis (253 citations). Mark Walderhaug has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Simón Silver, Wolfgang Epstein, Richard A. Forshee, Kory Kreimeyer, Matthew Foster, Abhishek Pandey, Taxiarchis Botsis, Sandra F. Jones, James W. Polarek and Joanne E. Hesse. Their work appears in journals such as Transfusion, Journal of Biological Chemistry, Journal of Bacteriology, Journal of Biomedical Informatics and Journal of Food Protection.

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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