Arnulf Pekrun

8.4k citations
70 papers · 2.2k indexed · h-index 25

Impact in

  • Hematology top 1%
    • Acute Myeloid Leukemia Research
    • Blood groups and transfusion
  • Genetics top 1%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Acute Myeloid Leukemia Research 12
    • Blood groups and transfusion 5
    • Hemoglobinopathies and Related Disorders 12
    • Glioma Diagnosis and Treatment 6

Arnulf Pekrun

69 papers receiving 2.1k citations

Peers

Arnulf Pekrun
Comparison fields: 5 of 101
  • Hematology 771
  • Genetics 620
  • Physiology 600
  • Pediatrics, Perinatology and Child Health 343
  • Molecular Biology 812
Replace D. Mark Layton with:
D. Mark Layton United Kingdom
Marc Berger France
Jean‐Antoine Ribeil France
Solomon F. Ofori‐Acquah United States
EA Rachmilewitz Israel
Janet van Adelsberg United States
Mathias Schmid Germany
Corinne Pondarré France
William Krivit United States
P Vuopio Finland
Arnulf Pekrun relative to D. Mark Layton United Kingdom D. Mark Layton's profile →
Citations per field
00.5×1.5×2.2×
D. Mark Layton · 1×
Citations per year

Countries citing papers authored by Arnulf Pekrun

Since Specialization
Citations

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

Fields of papers citing papers by Arnulf Pekrun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20212
2 201531
3 20141
4 2012118
5 20087
6 200513
7 200341
8 200161
9 200124
10 20018
11 199827
12 199821
13 199782
14 1996169
15 199515
16 19956
17 19941
18 199273
19 199128
20 19894

About Arnulf Pekrun

Arnulf Pekrun is a scholar working on Hematology, Genetics, Physiology, Pediatrics, Perinatology and Child Health and Cell Biology, having authored 70 papers that have together received 2.2k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (27 papers), Neonatal Health and Biochemistry (14 papers), Acute Myeloid Leukemia Research (12 papers), Hemoglobinopathies and Related Disorders (12 papers), Acute Lymphoblastic Leukemia research (7 papers), Glioma Diagnosis and Treatment (6 papers), Pancreatic function and diabetes (6 papers) and Blood groups and transfusion (5 papers). The work is most often cited by research in Hematology (771 citations), Genetics (620 citations), Physiology (600 citations), Pediatrics, Perinatology and Child Health (343 citations) and Molecular Biology (812 citations). Arnulf Pekrun has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Olaf Witt, W. Schröter, M. Lakomek, Stefan Eber, Dirk Reinhardt, Bernhard Erdlenbruch, Norbert Jorch, Wilfried Kugler, Ursula Creutzig and Jan‐Henning Klusmann. Their work appears in journals such as Blood, Annals of Hematology, European Journal of Pediatrics, American Journal of Hematology and Journal of Neuro-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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