Mark Hartmann

799 citations
16 papers · 377 · h-index 9

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • RNA modifications and cancer
    • Protein Tyrosine Phosphatases
    • RNA and protein synthesis mechanisms
    • Epigenetics and DNA Methylation

Papers in

    • Acute Myeloid Leukemia Research 7
    • Epigenetics and DNA Methylation 4
    • Protein Tyrosine Phosphatases 3
    • Chromatin Remodeling and Cancer 2

Mark Hartmann

14 papers receiving 376 citations

Peers

Mark Hartmann
Comparison fields: 5 of 28
  • Hematology 121
  • Molecular Biology 209
  • Genetics 25
  • Rheumatology 26
  • Immunology 32
Replace Corina Schneidawind with:
Corina Schneidawind Germany
Alice Reichert Portugal
Maximilian Schönung Germany
B D Young United Kingdom
Hong Yao China
Mingqiang Hua China
Sabine Juge Switzerland
Laura M. Kettyle United Kingdom
Laurence Lacotte France
Masayuki Umeda United States
Mark Hartmann relative to Corina Schneidawind Germany Corina Schneidawind's profile →
Citations per field
00.5×2×3×
Corina Schneidawind · 1×
Citations per year

Countries citing papers authored by Mark Hartmann

Since Specialization
Citations

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

Fields of papers citing papers by Mark Hartmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201794
2 201587
3 202045
4 202043
5 202130
6 202221
7 202417
8 201912
9 201711
10 20249
11 20225
12 20201
13 20251
14 20251
15 20250
16 20260

About Mark Hartmann

Mark Hartmann is a scholar working on Hematology, Molecular Biology, Immunology, Public Health, Environmental and Occupational Health and Cancer Research, having authored 16 papers that have together received 377 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Epigenetics and DNA Methylation (4 papers), Protein Tyrosine Phosphatases (3 papers), Chromatin Remodeling and Cancer (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Cancer-related molecular mechanisms research (1 paper), Bone Tumor Diagnosis and Treatments (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Hematology (121 citations), Molecular Biology (209 citations), Genetics (25 citations), Rheumatology (26 citations) and Immunology (32 citations). Mark Hartmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Frank Lyko, Sebastian Bender, Martin Müller, Kathrin L. Thüring, Mark Helm, Ann E. Ehrenhofer‐Murray, Wolfgang Nellen, Jon R. Katze, Daniel B. Lipka and Christoph Plass. Their work appears in journals such as Nature Communications, Blood, International Journal of Cancer, Nucleic Acids Research and Clinical Cancer Research.

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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