Daniel Mertens

8.1k citations
108 papers · 4.3k · h-index 38

Impact in

Papers in

Daniel Mertens

104 papers receiving 4.3k citations

Peers

Daniel Mertens
Comparison fields: 5 of 112
  • Genetics 1.8k
  • Pathology and Forensic Medicine 1.0k
  • Cancer Research 769
  • Immunology 975
  • Hematology 414
Replace Martina Seiffert with:
Martina Seiffert Germany
Michael Y. Choi United States
Meike Burger Germany
Norihiko Kawamata Japan
Enrique M. Ocio Spain
Wayne P Pearce United Kingdom
Marek Mráz Czechia
Jianguo Tao United States
Adam Joel Bass United States
Mary L. Bath Australia
Daniel Mertens relative to Martina Seiffert Germany Martina Seiffert's profile →
Citations per field
00.5×2×2.7×
Martina Seiffert · 1×
Citations per year

Countries citing papers authored by Daniel Mertens

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mertens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009423
2 1989300
3 1998257
4 2008227
5 2009218
6 2019163
7 2012138
8 2002119
9 2013118
10 2013114
11 201298
12 200274
13 200871
14 200670
15 201166
16 201264
17 201364
18 201863
19 201362
20 200759

About Daniel Mertens

Daniel Mertens is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Cancer Research and Molecular Biology, having authored 108 papers that have together received 4.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (73 papers), Lymphoma Diagnosis and Treatment (35 papers), Immunodeficiency and Autoimmune Disorders (15 papers), RNA modifications and cancer (8 papers), Cancer-related Molecular Pathways (8 papers), Glycosylation and Glycoproteins Research (8 papers), MicroRNA in disease regulation (8 papers) and Advanced Breast Cancer Therapies (7 papers). The work is most often cited by research in Genetics (1.8k citations), Pathology and Forensic Medicine (1.0k citations), Cancer Research (769 citations), Immunology (975 citations) and Hematology (414 citations). Daniel Mertens has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include S. Stilgenbauer, Hartmut Doehner, Thorsten Zenz, Peter Lichter, Ralf Küppers, Marten Veenhuis, Ralf Erdmann, Wolf H. Kunau, Dirk F. H. Winkler and Andreas Bühler. Their work appears in journals such as Blood, International Journal of Cancer, Haematologica, Leukemia 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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