Sonja Martin

1.8k citations
22 papers · 833 · h-index 13

Impact in

Papers in

    • CAR-T cell therapy research 3
    • Viral-associated cancers and disorders 2
    • Hematopoietic Stem Cell Transplantation 4
    • Acute Myeloid Leukemia Research 3

Sonja Martin

21 papers receiving 807 citations

Peers

Sonja Martin
Comparison fields: 5 of 70
  • Pathology and Forensic Medicine 470
  • Genetics 243
  • Oncology 416
  • Hematology 159
  • Immunology 120
Replace Saurabh Dahiya with:
Saurabh Dahiya United States
C. H. Chan China
Minoru Kojima Japan
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Citations per field
00.5×1.5×2.3×
Saurabh Dahiya · 1×
Citations per year

Countries citing papers authored by Sonja Martin

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005418
2 200570
3 198365
4 202243
5 201141
6 200033
7 200821
8 201320
9 202015
10 201915
11 197915
12 201714
13 200212
14
Defective microbicidal function of neutrophils in haematological malignancies and lymphomas: correction by levamisole in vitro.
197811
15 202011
16 20208
17 20228
18 20145
19 19805
20 20241

About Sonja Martin

Sonja Martin is a scholar working on Oncology, Hematology, Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine and Immunology, having authored 22 papers that have together received 833 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Acute Myeloid Leukemia Research (3 papers), CAR-T cell therapy research (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Viral-associated cancers and disorders (2 papers) and Testicular diseases and treatments (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (470 citations), Genetics (243 citations), Oncology (416 citations), Hematology (159 citations) and Immunology (120 citations). Sonja Martin has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include Reza Parwaresch, Eva Hoster, Ulrich Dührsen, Wolfgang Hiddemann, Hannes Wandt, Hartmut Eimermacher, Bernd Metzner, E. Heidemann, Bernhard Wörmann and Ali Aldaoud. Their work appears in journals such as Blood, Journal of Clinical Pathology, Annals of Hematology, Journal of Clinical Oncology and Bone Marrow Transplantation.

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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