Wilhelm Wößmann

22 papers receiving 533 citations

Peers

Wilhelm Wößmann
Comparison fields: 5 of 70
  • Hematology 127
  • Pediatrics, Perinatology and Child Health 115
  • Genetics 52
  • Cancer Research 67
  • Molecular Biology 276
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M. Holtkamp Netherlands
Cumhur Gökhan Ekmekçi Türkiye
Ci Pan China
Shirley Kow Yin Kham Singapore
Anna Grazia Recchia Italy
Debra Frei‐Lahr United States
P. C. Hoffman United States
Pamela Bartels United States
Ángela Gutiérrez-Camino Spain
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Citations per field
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M. Holtkamp · 1×
Citations per year

Countries citing papers authored by Wilhelm Wößmann

Since Specialization
Citations

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

Fields of papers citing papers by Wilhelm Wößmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002214
2 2003108
3
Effects of temperature on the therapeutic efficacy and pharmacokinetics of ifosfamide.
199339
4 201231
5 201525
6 200320
7
Combined polymerase chain reaction methods to detect c-myc/IgH rearrangement in childhood Burkitt's lymphoma for minimal residual disease analysis.
200420
8 201617
9 201715
10 202013
11 201112
12 20066
13 20146
14 20164
15 20123
16 20223
17 20012
18
[Enlarged iliopsoas bursa. A rare cause of inguinal mass].
19922
19 20231
20 20231

About Wilhelm Wößmann

Wilhelm Wößmann is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Hematology, having authored 23 papers that have together received 544 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Acute Lymphoblastic Leukemia research (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Adolescent and Pediatric Healthcare (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Cancer Genomics and Diagnostics (2 papers) and Neonatal Health and Biochemistry (2 papers). The work is most often cited by research in Hematology (127 citations), Pediatrics, Perinatology and Child Health (115 citations), Genetics (52 citations), Cancer Research (67 citations) and Molecular Biology (276 citations). Wilhelm Wößmann has collaborated with scholars based in Germany, Austria and Poland. Frequent co-authors include Arndt Borkhardt, Uta Fuchs, Monika Wilda, Alfred Reiter, Martin Schrappe, Martin Zimmermann, Christine Damm‐Welk, Thomas Wagner, G. Wiedemann and M. Mentzel. Their work appears in journals such as Blood, Pediatric Blood & Cancer, Transfusion, Journal of Pediatric Hematology/Oncology and Leukemia.

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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