K. Rasmussen

5.2k citations
57 papers · 4.0k · 1 hit paper · h-index 30

Impact in

Papers in

K. Rasmussen

57 papers receiving 3.9k citations

K. Rasmussen's Hit Papers

Role of TET enzymes in DNA methylation, development, and cancer 2016 · 783 citations
7830+3+6Years since publication250500750

Peers

K. Rasmussen
Comparison fields: 5 of 119
  • Clinical Biochemistry 637
  • Rheumatology 1.0k
  • Cancer Research 797
  • Hematology 452
  • Molecular Biology 2.0k
Replace Yosuke Okada with:
Yosuke Okada Japan
Michel Le Hir Switzerland
Andong Qiu United States
D. M. Danks Australia
Sharon J. Elliot United States
Chung-Ming Hsieh United States
Tammo Ostendorf Germany
Penelope Korkolopoulou Greece
Fabiola Terzi France
Jill T. Norman United Kingdom
K. Rasmussen relative to Yosuke Okada Japan Yosuke Okada's profile →
Citations per field
00.5×3.9×
Yosuke Okada · 1×
Citations per year

Countries citing papers authored by K. Rasmussen

Since Specialization
Citations

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

Fields of papers citing papers by K. Rasmussen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Role of TET enzymes in DNA methylation, development, and cancer
Hit paper breakdown →
2016783
2 2010373
3 1991309
4 2010262
5 1996201
6 2015198
7 1975166
8 1989147
9 2014119
10 2014111
11 198295
12 199081
13 201178
14 201966
15 198365
16 201962
17 198056
18 199556
19 201948
20 199047

About K. Rasmussen

K. Rasmussen is a scholar working on Clinical Biochemistry, Molecular Biology, Rheumatology, Physiology and Cancer Research, having authored 57 papers that have together received 4.0k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (30 papers), Folate and B Vitamins Research (22 papers), Epigenetics and DNA Methylation (8 papers), Diet and metabolism studies (6 papers), Cancer-related gene regulation (5 papers), MicroRNA in disease regulation (5 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Clinical Biochemistry (637 citations), Rheumatology (1.0k citations), Cancer Research (797 citations), Hematology (452 citations) and Molecular Biology (2.0k citations). K. Rasmussen has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Kristian Helin, Birte Vester, Dónal O’Carroll, Jens Møller, N. Gregersen, N. J. Brandt, Monica Di Giacomo, L. Dybkjær, ASTRID M. PEDERSEN and Thomas Maurin. Their work appears in journals such as Clinical Chemistry, Scandinavian Journal of Clinical and Laboratory Investigation, Genes & Development, Pediatric Research and Blood.

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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