Ulrike Hartmann

39 papers receiving 2.3k citations

Peers

Ulrike Hartmann
Comparison fields: 5 of 101
  • Plant Science 1.0k
  • Hematology 242
  • Molecular Biology 1.3k
  • Biochemistry 112
  • Genetics 158
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Marion Wood United Kingdom
Asish K. Ghosh United States
Takehiko Koide Japan
Michael Chester Sweden
Kazuko Yoshida Japan
Katharina Belt Australia
Rui Meng China
Jrhau Lung Taiwan
Peng Du China
Ulrike Hartmann relative to Marion Wood United Kingdom Marion Wood's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ulrike Hartmann

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Hartmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000469
2 2005364
3 1998165
4 1998144
5 2003133
6 200490
7 200683
8 199782
9 200375
10 201573
11
Telomere length and hTERT expression in patients with acute myeloid leukemia correlates with chromosomal abnormalities.
200562
12 200053
13 201546
14 199943
15 201342
16 199941
17 200937
18 201532
19 202032
20 201732

About Ulrike Hartmann

Ulrike Hartmann is a scholar working on Molecular Biology, Epidemiology, Hematology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (7 papers), Antifungal resistance and susceptibility (5 papers), Fungal Infections and Studies (5 papers), Chronic Myeloid Leukemia Treatments (5 papers), Acute Myeloid Leukemia Research (4 papers), Plant Gene Expression Analysis (4 papers), Corneal Surgery and Treatments (4 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Plant Science (1.0k citations), Hematology (242 citations), Molecular Biology (1.3k citations), Biochemistry (112 citations) and Genetics (158 citations). Ulrike Hartmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Bernd Weißhaar, Heinz Saedler, Ellen Wisman, Martin Sagasser, Peter Huijser, Susanne Höhmann, Mehrtens Frank, Ralf Stracke, Tim H. Brümmendorf and Stefan Balabanov. Their work appears in journals such as Blood, Graefe s Archive for Clinical and Experimental Ophthalmology, Experimental Hematology, Viruses and European Journal of Clinical Microbiology & Infectious Diseases.

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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