Hauke Thomsen

6.1k citations
91 papers · 2.9k indexed · 1 hit paper · h-index 28

Hauke Thomsen

90 papers receiving 2.8k citations

Hit Papers

Metastatic sites and survival in lung cancer6082014202620182022200400600

Peers

Hauke Thomsen
Comparison fields: 5 of 140
  • Genetics 968
  • Oncology 793
  • Animal Science and Zoology 256
  • Cancer Research 331
  • Pulmonary and Respiratory Medicine 547
Replace Yuki Okada with:
Yuki Okada Japan
Xiuyan Wang China
Steven A. Spencer Australia
Christopher D. Gregory United Kingdom
Ian Todd United Kingdom
Frank W. Fitch United States
George McNamara United States
Takako Suzuki Japan
Takashi Okamura Japan
Barbara Richter Germany
Hauke Thomsen relative to Yuki Okada Japan Yuki Okada's profile →
Citations per field
00.5×2.8×
Yuki Okada · 1×
Citations per year

Countries citing papers authored by Hauke Thomsen

Since Specialization
Citations

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

Fields of papers citing papers by Hauke Thomsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20216
3 202046
4 201849
5 201727
6 201617
7 20155
8 201423
9 20145
10 201366
11 201222
12 201197
13 200814
14
The choice of phenotypes for use of marker assisted selection in dairy cattle.
20061
15
DMU - A Package for analyzing multivariate mixed models
2006117
16
A marker assisted genetic evaluation system for dairy cattle using a random QTL model
20044
17 200478
18 200494
19 20019
20 20013

About Hauke Thomsen

Hauke Thomsen is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Plant Science and Cancer Research, having authored 91 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (29 papers), Genetic Mapping and Diversity in Plants and Animals (27 papers), Dust and Plasma Wave Phenomena (11 papers), Genetics and Plant Breeding (10 papers), Wheat and Barley Genetics and Pathology (9 papers), Cold Atom Physics and Bose-Einstein Condensates (7 papers), Genetic factors in colorectal cancer (7 papers) and Genetic Associations and Epidemiology (6 papers). The work is most often cited by research in Genetics (968 citations), Oncology (793 citations), Animal Science and Zoology (256 citations), Cancer Research (331 citations) and Pulmonary and Respiratory Medicine (547 citations). Hauke Thomsen has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Kari Hemminki, Jan Sundquist, Matias Riihimäki, Akseli Hemminki, K. Sundquist, Mahdi Fallah, Kristina Sundquist, Jack C. M. Dekkers, M. Bönitz and M. F. Rothschild. Their work appears in journals such as Animal Genetics, Scientific Reports, BMC Cancer, Physics of Plasmas and Journal of Animal Breeding and Genetics.

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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