Iris Appelmann

617 citations
24 papers · 495 · h-index 11

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

Iris Appelmann

22 papers receiving 489 citations

Peers

Iris Appelmann
Comparison fields: 5 of 57
  • Hematology 96
  • Genetics 38
  • Cancer Research 33
  • Public Health, Environmental and Occupational Health 80
  • Molecular Biology 142
Replace Austin T. Thiel with:
Austin T. Thiel United States
Ugo Consoli United States
Lixia Ding China
Limengmeng Wang China
Piera La Cava Italy
Ehsan A. Ehsanipour United States
Amber D. Bowler United States
Sophie Derenne France
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Citations per field
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Citations per year

Countries citing papers authored by Iris Appelmann

Since Specialization
Citations

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

Fields of papers citing papers by Iris Appelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012115
2 200961
3 201255
4 201039
5 201438
6 201434
7 201634
8 202227
9 201123
10 201818
11 201915
12 202011
13 20097
14 20245
15 20103
16 20232
17 20242
18 20252
19 20141
20 20201

About Iris Appelmann

Iris Appelmann is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Cell Biology, Genetics and Molecular Biology, having authored 24 papers that have together received 495 indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Acute Myeloid Leukemia Research (2 papers), Polyamine Metabolism and Applications (1 paper), Hemophilia Treatment and Research (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Hematology (96 citations), Genetics (38 citations), Cancer Research (33 citations), Public Health, Environmental and Occupational Health (80 citations) and Molecular Biology (142 citations). Iris Appelmann has collaborated with scholars based in Germany, United States and Ireland. Frequent co-authors include Wolfgang E. Berdel, Rolf Michael Mesters, Torsten Keßler, Rüediger Liersch, Scott Lowe, Cornelius Miething, Julie Teruya‐Feldstein, Claudio Scuoppo, Alexander Krasnitz and Seungtai Chris Yoon. Their work appears in journals such as Blood, Annals of Hematology, BMC Cancer, Nature and BMC Palliative Care.

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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