S. Naucke

2.5k citations
10 papers · 1.5k · h-index 8

Impact in

  • Hematology top 0.5%
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
  • Oncology top 5%
    • Cancer Treatment and Pharmacology
    • Peptidase Inhibition and Analysis

Papers in

    • Multiple Myeloma Research and Treatments 8
    • Hematopoietic Stem Cell Transplantation 1
    • Protein Degradation and Inhibitors 3
    • Cancer therapeutics and mechanisms 3
    • Glycosylation and Glycoproteins Research 1

S. Naucke

10 papers receiving 1.5k citations

Peers

S. Naucke
Comparison fields: 5 of 53
  • Hematology 1.3k
  • Oncology 557
  • Genetics 172
  • Molecular Biology 814
  • Immunology 86
Replace Dan Spoon with:
Dan Spoon United States
Vittorio Montefusco Italy
Felipe de Arriba Spain
Cyrille Hulin France
Víctor H. Jiménez‐Zepeda Canada
DH Vesole United States
C López-Berges Spain
A Kuramoto Japan
M Tribalto Italy
Sharmilan Thanendrarajan United States
S. Naucke relative to Dan Spoon United States Dan Spoon's profile →
Citations per field
00.5×1.5×
Dan Spoon · 1×
Citations per year

Countries citing papers authored by S. Naucke

Since Specialization
Citations

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

Fields of papers citing papers by S. Naucke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1997414
2 1999370
3 1995322
4 1999174
5 1997138
6 199746
7 199839
8 199610
9 19995
10
Long-term follow-up after high-dose therapy for high-risk multiple myeloma
19981

About S. Naucke

S. Naucke is a scholar working on Hematology, Molecular Biology, Oncology, Oral Surgery and Infectious Diseases, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Protein Degradation and Inhibitors (3 papers), Cancer therapeutics and mechanisms (3 papers), Cancer Treatment and Pharmacology (2 papers), Peptidase Inhibition and Analysis (2 papers), Glycosylation and Glycoproteins Research (1 paper), Dental Implant Techniques and Outcomes (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Hematology (1.3k citations), Oncology (557 citations), Genetics (172 citations), Molecular Biology (814 citations) and Immunology (86 citations). S. Naucke has collaborated with scholars based in United States. Frequent co-authors include Guido Tricot, Bart Barlogie, Sundar Jagannath, D Bracy, David H. Vesole, S. Mattox, Bruce D. Cheson, Nikhil C. Munshi, K.R. Desikan and David S. Siegel. Their work appears in journals such as Blood, Journal of Clinical Oncology, Bone, Bone Marrow Transplantation and Current topics in microbiology and immunology.

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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