Jan Fleckner

2.6k citations
43 papers · 2.1k indexed · h-index 24

Jan Fleckner

43 papers receiving 2.1k citations

Peers

Jan Fleckner
Comparison fields: 5 of 108
  • Molecular Biology 1.4k
  • Biochemistry 137
  • Biological Psychiatry 45
  • Physiology 401
  • Endocrinology, Diabetes and Metabolism 247
Replace Iván P. Uray with:
Iván P. Uray United States
Christopher Savard United States
Aksam Merched France
Marta Varela‐Rey Spain
Ricardo Rodríguez‐Calvo Spain
Jennifer Weiszmann United States
Gregory Michelotti United States
Divya P. Kumar United States
Ildikó Szántó Switzerland
Clara E. Magyar United States
Jan Fleckner relative to Iván P. Uray United States Iván P. Uray's profile →
Citations per field
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Iván P. Uray · 1×
Citations per year

Countries citing papers authored by Jan Fleckner

Since Specialization
Citations

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

Fields of papers citing papers by Jan Fleckner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20152
2 201517
3 20126
4 201227
5 201132
6 200834
7 200713
8 200657
9 200545
10 200453
11 200419
12 200327
13 200346
14 200110
15 20004
16 1997230
17 19967
18 199591
19 199584
20 199111

About Jan Fleckner

Jan Fleckner is a scholar working on Physiology, Molecular Biology, Physiology, Biochemistry and Immunology, having authored 43 papers that have together received 2.1k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (18 papers), Adipose Tissue and Metabolism (10 papers), Metabolism, Diabetes, and Cancer (8 papers), RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (5 papers), Systemic Lupus Erythematosus Research (4 papers), Receptor Mechanisms and Signaling (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Biochemistry (137 citations), Biological Psychiatry (45 citations), Physiology (401 citations) and Endocrinology, Diabetes and Metabolism (247 citations). Jan Fleckner has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Just Justesen, Juan Valcárcel, M R Green, Per Sauerberg, Tatjana Albrektsen, Anne B. Tolstrup, Klaus Stensgaard Frederiksen, Erik Max Wulff, Hanne H. Rasmussen and R. Scott Heller. Their work appears in journals such as Journal of Medicinal Chemistry, Diabetes, Bioorganic & Medicinal Chemistry Letters, Modern Rheumatology and Journal of Biological Chemistry.

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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