Ulrich Steidl

884 citations
24 papers · 642 indexed · h-index 12
  • Hematology top 5%
    • Acute Myeloid Leukemia Research 9
    • Hematopoietic Stem Cell Transplantation 9
    • Multiple Myeloma Research and Treatments 6
  • Genetics top 10%
    • Virus-based gene therapy research 2
    • Mesenchymal stem cell research 2
    • Cancer Treatment and Pharmacology 3
    • Chemokine receptors and signaling 2
    • RNA Interference and Gene Delivery 4

Ulrich Steidl

24 papers receiving 629 citations

Peers

Ulrich Steidl
Comparison fields: 5 of 79
  • Hematology 346
  • Genetics 111
  • Transplantation 27
  • Immunology 118
  • Oncology 150
Replace Antonella Chillemi with:
Antonella Chillemi Italy
Eustacia Zellmer United States
Patricia Benveniste Canada
Sarah Nicholls United Kingdom
Naoko Negishi Japan
Stacie Anderson United States
Reinhard Grausenburger Austria
Laurent Drouot France
Benjamin A. Schwarz United States
June Allison United States
Ulrich Steidl relative to Antonella Chillemi Italy Antonella Chillemi's profile →
Citations per field
00.5×4.5×
Antonella Chillemi · 1×
Citations per year

Countries citing papers authored by Ulrich Steidl

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Steidl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201846
2 200766
3 200620
4 20061
5 200539
6 200537
7 200564
8 200510
9 20053
10 20052
11 20048
12 20044
13 20042
14
Levels of minimal residual disease detected by quantitative molecular monitoring herald relapse in patients with multiple myeloma.
200428
15 200497
16 20042
17 200315
18 200219
19 2002118
20 19985

About Ulrich Steidl

Ulrich Steidl is a scholar working on Hematology, Genetics and Immunology and Allergy, having authored 24 papers that have together received 642 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (9 papers), Hematopoietic Stem Cell Transplantation (9 papers), Multiple Myeloma Research and Treatments (6 papers), RNA Interference and Gene Delivery (4 papers), Cancer Treatment and Pharmacology (3 papers), Virus-based gene therapy research (2 papers), Mesenchymal stem cell research (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Hematology (346 citations), Genetics (111 citations) and Transplantation (27 citations). Ulrich Steidl has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Rainer Haas, Ralf Kronenwett, Roland Fenk, Guido Kobbe, Manuel Aivado, Christian Maercker, Ulrich‐Peter Rohr, Peter Neubert, Norbert Gattermann and Thorsten Graef.

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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