Iris Appelmann

587 citations
22 papers · 438 · 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

20 papers receiving 435 citations

Peers

Iris Appelmann
Comparison fields: 5 of 70
  • Hematology 108
  • Genetics 78
  • Molecular Biology 236
  • Cancer Research 48
  • Rheumatology 44
Replace Juo-Chin Yao with:
Juo-Chin Yao United States
Justin Aubin United States
Katharina M. Brauer Germany
Naxin Guo United States
Jonathan Keller United States
Soumen Chakraborty India
Hanne Hella Norway
Takuma Ishizaki Japan
Barbara Schnieders United States
Na Luo China
Iris Appelmann relative to Juo-Chin Yao United States Juo-Chin Yao's profile →
Citations per field
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Juo-Chin Yao · 1×
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 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012104
2 200958
3 201252
4 201438
5 201037
6 201633
7 201429
8 202219
9 201117
10 201816
11 201914
12 202010
13 20242
14 20242
15 20182
16 20231
17 20221
18 20141
19 20201
20 20211

About Iris Appelmann

Iris Appelmann is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Genetics, Hematology and Cell Biology, having authored 22 papers that have together received 438 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Palliative Care and End-of-Life Issues (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Hematology (108 citations), Genetics (78 citations), Molecular Biology (236 citations), Cancer Research (48 citations) and Rheumatology (44 citations). Iris Appelmann has collaborated with scholars based in Germany, United States and Ireland. Frequent co-authors include Wolfgang E. Berdel, Scott W. Lowe, Rolf M. Mesters, Rüediger Liersch, Torsten Keßler, Cornelius Miething, Claudio Scuoppo, Julie Teruya‐Feldstein, Seungtai Yoon and Alexander Krasnitz. Their work appears in journals such as Blood, Nature, BMC Cancer, PLoS ONE 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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