Jan Møller

23 papers receiving 969 citations

Peers

Jan Møller
Comparison fields: 5 of 99
  • Rheumatology 562
  • Clinical Biochemistry 142
  • Biochemistry 82
  • Hematology 110
  • Obstetrics and Gynecology 58
Replace Qing Wu with:
Qing Wu Canada
Desirée E.C. Smith Netherlands
Kazumichi Furuyama Japan
S J James United States
Zoë Yates Australia
Collynn F. Woeller United States
Dimitrios S. Emmanouel United States
Revital Shurtz-Swirski Israel
Sarah C. Grünert Germany
S. M. Joubert South Africa
Jan Møller relative to Qing Wu Canada Qing Wu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jan Møller

Since Specialization
Citations

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

Fields of papers citing papers by Jan Møller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001179
2 2004145
3 2000117
4 200079
5 200671
6 200153
7 200352
8 200350
9 200345
10 198137
11 199934
12 199933
13 198430
14 200129
15 198515
16 200310
17 20217
18
[Lactation--a risk factor for elevated plasma homocysteine?].
20037
19 19896
20 19883

About Jan Møller

Jan Møller is a scholar working on Rheumatology, Surgery, Clinical Biochemistry, Cardiology and Cardiovascular Medicine and Hematology, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Folate and B Vitamins Research (13 papers), Metabolism and Genetic Disorders (5 papers), Esophageal and GI Pathology (4 papers), Iron Metabolism and Disorders (3 papers), Ruminant Nutrition and Digestive Physiology (2 papers), Reproductive Physiology in Livestock (2 papers), Horticultural and Viticultural Research (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Rheumatology (562 citations), Clinical Biochemistry (142 citations), Biochemistry (82 citations), Hematology (110 citations) and Obstetrics and Gynecology (58 citations). Jan Møller has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Karsten Boye Rasmussen, Erling Falk, Ji Zhou, Richard C. Austin, Ebba Nexø, Jacob Fog Bentzon, Hanne Berg Ravn, Carl Christian Danielsen, Merel Ritskes‐Hoitinga and Mustafa Vakur Bor. Their work appears in journals such as Clinical Chemistry, Scandinavian Journal of Clinical and Laboratory Investigation, Atherosclerosis, Circulation and European Journal of Endocrinology.

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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