Jan Eucker

3.5k citations
85 papers · 2.5k · h-index 29

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

Jan Eucker

83 papers receiving 2.4k citations

Peers

Jan Eucker
Comparison fields: 5 of 114
  • Hematology 564
  • Genetics 268
  • Oncology 595
  • Infectious Diseases 339
  • Pathology and Forensic Medicine 265
Replace Robert A. DeAngelis with:
Robert A. DeAngelis United States
Eva M. Weissinger Germany
Hans Ulrich Scherer Netherlands
Wolfgang Herr Germany
Stanley P. Balcerzak United States
Hansjörg Schwertz United States
Wenbin Qian China
Hitoshi Asakura Japan
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Citations per field
00.5×3.6×
Robert A. DeAngelis · 1×
Citations per year

Countries citing papers authored by Jan Eucker

Since Specialization
Citations

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

Fields of papers citing papers by Jan Eucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001142
2 2001137
3 1999128
4 2000118
5
Expression of receptor activator of nuclear factor kappaB ligand on bone marrow plasma cells correlates with osteolytic bone disease in patients with multiple myeloma.
2003117
6 2001113
7 2008108
8
Metformin and the mTOR inhibitor everolimus (RAD001) sensitize breast cancer cells to the cytotoxic effect of chemotherapeutic drugs in vitro.
201289
9 201278
10 200566
11
Mucormycoses.
200166
12 200355
13 200253
14 201352
15 201145
16 201344
17 201342
18 200341
19 202338
20 201037

About Jan Eucker

Jan Eucker is a scholar working on Molecular Biology, Oncology, Genetics, Hematology and Epidemiology, having authored 85 papers that have together received 2.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (12 papers), Antifungal resistance and susceptibility (7 papers), Cancer Treatment and Pharmacology (7 papers), Chronic Lymphocytic Leukemia Research (7 papers), Fungal Infections and Studies (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). The work is most often cited by research in Hematology (564 citations), Genetics (268 citations), Oncology (595 citations), Infectious Diseases (339 citations) and Pathology and Forensic Medicine (265 citations). Jan Eucker has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Orhan Sezer, Kurt Possinger, Christian Jakob, K. Possinger, Ivana Zavrski, Kathrin Niemöller, Ulrike Heider, Chuanbing Zang, Barbara Graf and Klaus‐Dieter Wernecke. Their work appears in journals such as European Journal Of Haematology, Annals of Hematology, Anti-Cancer Drugs, Journal of Clinical Oncology and Mycoses.

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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