Tim Ripperger

2.4k citations
82 papers · 1.8k · h-index 24

Impact in

Papers in

    • Acute Myeloid Leukemia Research 21
    • Platelet Disorders and Treatments 6
    • Hematopoietic Stem Cell Transplantation 3
    • BRCA gene mutations in cancer 23
    • Genomics and Rare Diseases 11
    • Genomic variations and chromosomal abnormalities 9
    • Blood disorders and treatments 3

Tim Ripperger

72 papers receiving 1.8k citations

Peers

Tim Ripperger
Comparison fields: 5 of 79
  • Hematology 479
  • Pathology and Forensic Medicine 363
  • Genetics 573
  • Cancer Research 106
  • Genetics 54
Replace Wendy Cuccuini with:
Wendy Cuccuini France
Denisa Ilenčíková Slovakia
Salil Goorha United States
Manoj Raghavan United Kingdom
Christian Herens Belgium
Brian R. Reeves United Kingdom
D. R. Rill United States
Werner Grote Germany
Dominique Penther France
Peter C. Nowell United States
Tim Ripperger relative to Wendy Cuccuini France Wendy Cuccuini's profile →
Citations per field
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Wendy Cuccuini · 1×
Citations per year

Countries citing papers authored by Tim Ripperger

Since Specialization
Citations

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

Fields of papers citing papers by Tim Ripperger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017204
2 2017170
3 2008157
4 202092
5 201573
6 201672
7 201657
8 200949
9 201849
10 201648
11 201747
12 201942
13 200938
14 202138
15 200436
16 202136
17 202235
18 202334
19 200732
20 202131

About Tim Ripperger

Tim Ripperger is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Neurology, having authored 82 papers that have together received 1.8k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (23 papers), Acute Myeloid Leukemia Research (21 papers), Genetic factors in colorectal cancer (19 papers), Genomics and Rare Diseases (11 papers), Genomic variations and chromosomal abnormalities (9 papers), Platelet Disorders and Treatments (6 papers), Blood disorders and treatments (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Hematology (479 citations), Pathology and Forensic Medicine (363 citations), Genetics (573 citations), Cancer Research (106 citations) and Genetics (54 citations). Tim Ripperger has collaborated with scholars based in Germany, Netherlands and France. Frequent co-authors include Brigitte Schlegelberger, Dorothea Gadzicki, Alfons Meindl, Doris Steinemann, Christian Peter Kratz, Gudrun Göhring, Thomas Illig, Ulrich Lehmann, Charlotte Marie Niemeyer and Katharina Wimmer. Their work appears in journals such as Familial Cancer, Leukemia, European Journal of Human Genetics, Haematologica and Blood.

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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