Arnulf Pekrun

8.5k citations
70 papers · 2.2k · 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

    • Erythrocyte Function and Pathophysiology 24
    • Acute Myeloid Leukemia Research 11

Arnulf Pekrun

69 papers receiving 2.1k citations

Peers

Arnulf Pekrun
Comparison fields: 5 of 100
  • Hematology 699
  • Genetics 556
  • Physiology 551
  • Pediatrics, Perinatology and Child Health 270
  • Molecular Biology 747
Replace D. Mark Layton with:
D. Mark Layton United Kingdom
Mathias Schmid Germany
Solomon F. Ofori‐Acquah United States
Gaetano Bergamaschi Italy
Laura S. Haneline United States
R. Scott Pearsall United States
Corinne Pondarré France
Marc Berger France
William Krivit United States
Jean‐Antoine Ribeil France
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Citations per field
00.5×
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-authors

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

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000178
2 2000170
3 1996169
4 2008144
5 2012120
6 1995111
7 2003109
8 201285
9 199782
10 199273
11 200161
12 199659
13 199947
14 200343
15 199642
16 199137
17 200136
18 200235
19 201531
20 199329

About Arnulf Pekrun

Arnulf Pekrun is a scholar working on Physiology, Hematology, Pediatrics, Perinatology and Child Health, Molecular Biology and Genetics, having authored 70 papers that have together received 2.2k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (24 papers), Neonatal Health and Biochemistry (13 papers), Acute Myeloid Leukemia Research (11 papers), Hemoglobinopathies and Related Disorders (9 papers), Acute Lymphoblastic Leukemia research (6 papers), Glioma Diagnosis and Treatment (6 papers), Pancreatic function and diabetes (5 papers) and Neuroblastoma Research and Treatments (4 papers). The work is most often cited by research in Hematology (699 citations), Genetics (556 citations), Physiology (551 citations), Pediatrics, Perinatology and Child Health (270 citations) and Molecular Biology (747 citations). Arnulf Pekrun has collaborated with scholars based in Germany, United States and United Kingdom. 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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