Silja Mack

982 citations
6 papers · 265 · h-index 4

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 3
    • Hematopoietic Stem Cell Transplantation 1
    • Histone Deacetylase Inhibitors Research 2
    • Protein Degradation and Inhibitors 1

Silja Mack

6 papers receiving 256 citations

Peers

Silja Mack
Comparison fields: 5 of 40
  • Hematology 158
  • Genetics 89
  • Pathology and Forensic Medicine 52
  • Transplantation 7
  • Immunology 49
Replace Aline Clavert with:
Aline Clavert France
Sujaatha Narayanan Canada
Kaiyang Ding China
Dennis Veldhuizen Netherlands
Anne Banos France
José Antonio Queizán Spain
C. Troff Germany
Cristina Ariola Italy
Emma Verner Australia
Alexander Sternberg United Kingdom
Silja Mack relative to Aline Clavert France Aline Clavert's profile →
Citations per field
00.5×1.6×
Aline Clavert · 1×
Citations per year

Countries citing papers authored by Silja Mack

Since Specialization
Citations

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

Fields of papers citing papers by Silja Mack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2010158
2 201359
3 201740
4 20126
5 20101
6 20101

About Silja Mack

Silja Mack is a scholar working on Hematology, Molecular Biology, Genetics, Infectious Diseases and Pathology and Forensic Medicine, having authored 6 papers that have together received 265 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Histone Deacetylase Inhibitors Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Advanced Breast Cancer Therapies (1 paper), Cancer Treatment and Pharmacology (1 paper), Protein Degradation and Inhibitors (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and HIV/AIDS drug development and treatment (1 paper). The work is most often cited by research in Hematology (158 citations), Genetics (89 citations), Pathology and Forensic Medicine (52 citations), Transplantation (7 citations) and Immunology (49 citations). Silja Mack has collaborated with scholars based in Germany, Italy and Austria. Frequent co-authors include Hartmut Döhner, Konstanze Döhner, Axel Benner, Richard F. Schlenk, Hans Salwender, Guido Kobbe, Stephan Kremers, Heinz A. Horst, Heinz Kirchen and Detlef Haase. Their work appears in journals such as Blood, Experimental Hematology and Oncology and Journal of Clinical Oncology.

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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