Jan Tuckermann

13.4k citations
180 papers · 9.3k indexed · 2 hit papers · h-index 53

Impact in

Papers in

    • Immune Response and Inflammation 27
    • Immune Cell Function and Interaction 12
    • Cytokine Signaling Pathways and Interactions 30
    • Bone health and treatments 19

Jan Tuckermann

177 papers receiving 9.2k citations

Hit Papers

The endothelium–bone axis in development, homeostasis and bone and joint disease 2021 · 166 citations
1661998202620072016250500750

Peers

Jan Tuckermann
Comparison fields: 5 of 137
  • Behavioral Neuroscience 525
  • Immunology 2.6k
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Cancer Research 1.3k
  • Oncology 1.9k
Replace Mario Delgado with:
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J. Wesley Pike United States
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Jan Tuckermann relative to Mario Delgado Spain Mario Delgado's profile →
Citations per field
00.5×2.8×
Mario Delgado · 1×
Citations per year

Countries citing papers authored by Jan Tuckermann

Since Specialization
Citations

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

Fields of papers citing papers by Jan Tuckermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 202318
3 202316
4 202330
5 202218
6 20229
7 20226
8 20223
9 202112
10 202111
11 202193
12 20201
13 201810
14 201858
15 201881
16 2016158
17 201415
18 201184
19 2002151
20 200218

About Jan Tuckermann

Jan Tuckermann is a scholar working on Immunology, Oncology, Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 180 papers that have together received 9.3k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (47 papers), Cytokine Signaling Pathways and Interactions (30 papers), Estrogen and related hormone effects (29 papers), Immune Response and Inflammation (27 papers), Bone health and treatments (19 papers), Adrenal Hormones and Disorders (15 papers), Immune Cell Function and Interaction (12 papers) and NF-κB Signaling Pathways (12 papers). The work is most often cited by research in Behavioral Neuroscience (525 citations), Immunology (2.6k citations), Endocrinology, Diabetes and Metabolism (1.6k citations), Cancer Research (1.3k citations) and Oncology (1.9k citations). Jan Tuckermann has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Holger M. Reichardt, Ulrike Baschant, Anna Kleiman, Peter Angel, Claude Libert, Wolfgang Schmid, Lien Dejager, Günther Schütz, Sofie Vandevyver and Ralf H. Adams. Their work appears in journals such as The FASEB Journal, Journal of Clinical Investigation, Frontiers in Immunology, Endocrinology and Scientific Reports.

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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