Manuela Krokowski

28 papers receiving 789 citations

Peers

Manuela Krokowski
Comparison fields: 5 of 42
  • Immunology 417
  • Developmental Biology 20
  • Pathology and Forensic Medicine 128
  • Pediatrics, Perinatology and Child Health 63
  • Dermatology 31
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Robert B. Fraser Canada
Deborah B. Aquino United States
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Masaru Imamura Japan
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Corinne Armari‐Alla France
WY Au China
Zerrin Yılmaz Türkiye
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Citations per year

Countries citing papers authored by Manuela Krokowski

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Krokowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004139
2 2009135
3 200391
4 201381
5 200666
6
Automated high-resolution polymerase chain reaction fragment analysis: a method for detecting T-cell receptor gamma-chain gene rearrangements in lymphoproliferative diseases.
199849
7 200536
8 200631
9 200223
10
BCL6-translocations affect the phenotype of follicular lymphomas only in the absence of t(14;18)IgH/BCL2.
200923
11 200320
12 200320
13
Variable presence of KIT D816V in clonal haematological non-mast cell lineage diseases associated with systemic mastocytosis (SM-AHNMD)
201019
14 200314
15 200714
16 200714
17 200913
18 200312
19 201310
20 20119

About Manuela Krokowski

Manuela Krokowski is a scholar working on Immunology, Pathology and Forensic Medicine, Surgery, Genetics and Developmental Biology, having authored 30 papers that have together received 858 indexed citations. Recurring topics across this work include Mast cells and histamine (8 papers), Lymphoma Diagnosis and Treatment (8 papers), Congenital Anomalies and Fetal Surgery (2 papers), Vascular Malformations and Hemangiomas (2 papers), Genomics and Rare Diseases (1 paper), Polyomavirus and related diseases (1 paper), Congenital limb and hand anomalies (1 paper) and Inflammasome and immune disorders (1 paper). The work is most often cited by research in Immunology (417 citations), Developmental Biology (20 citations), Pathology and Forensic Medicine (128 citations), Pediatrics, Perinatology and Child Health (63 citations) and Dermatology (31 citations). Manuela Krokowski has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Karl Sotlar, Hans‐Peter Horny, Peter Valent, Sabina Berezowska, Ute Germer, Ulrich Gembruch, Annegret Geipel, Martin Krapp, Burkhard D Bültmann and Jan Michael Smrcek. Their work appears in journals such as Archives of Gynecology and Obstetrics, American Journal of Clinical Pathology, Blood Advances, Ultrasound in Obstetrics and Gynecology and Histopathology.

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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