Silja Mack

997 citations
13 papers · 846 · 1 hit paper · h-index 8

Impact in

Papers in

    • Chronic Lymphocytic Leukemia Research 7
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2
    • Acute Myeloid Leukemia Research 3
    • Platelet Disorders and Treatments 2

Silja Mack

13 papers receiving 834 citations

Silja Mack's Hit Papers

Gene mutations and treatment outcome in chronic lymphocytic leukemia: results from the CLL8 trial 2014 · 436 citations
4360+4+8Years since publication100200300400

Peers

Silja Mack
Comparison fields: 5 of 46
  • Genetics 596
  • Pathology and Forensic Medicine 408
  • Hematology 265
  • Immunology 228
  • Oncology 136
Replace Jennifer Orchard with:
Jennifer Orchard United Kingdom
Nils Winkelmann Germany
Thérèse Aurran‐Schleinitz France
Alison M. Morilla United Kingdom
Ana B. Ayala United States
Yuh Shan Lee Singapore
Tobias Gaska Germany
Maneesh Tandon United Kingdom
Mariangela Greco Italy
Dominique Penther France
Silja Mack relative to Jennifer Orchard United Kingdom Jennifer Orchard's profile →
Citations per field
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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

13 of 13 papers shown
#Work
1
Gene mutations and treatment outcome in chronic lymphocytic leukemia: results from the CLL8 trial
Hit paper breakdown →
2014436
2 2010203
3 201372
4 201744
5 201233
6 201022
7 201217
8 20128
9 20115
10 20133
11 20101
12 20101
13 20121

About Silja Mack

Silja Mack is a scholar working on Genetics, Hematology, Immunology, Pathology and Forensic Medicine and Orthopedics and Sports Medicine, having authored 13 papers that have together received 846 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Acute Myeloid Leukemia Research (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Advanced Breast Cancer Therapies (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Platelet Disorders and Treatments (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Genetics (596 citations), Pathology and Forensic Medicine (408 citations), Hematology (265 citations), Immunology (228 citations) and Oncology (136 citations). Silja Mack has collaborated with scholars based in Germany, Italy and France. Frequent co-authors include Hartmut Doehner, Konstanze Döhner, Richard F Schlenk, Axel Benner, Andreas Leo Petzer, Heinz A. Horst, Guido Kobbe, Frank Hartmann, Elisabeth Koller and Stephan Kremers. 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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