Joachim Schwäble

3.6k citations
33 papers · 2.1k indexed · h-index 22
  • Hematology top 1%
    • Acute Myeloid Leukemia Research 14
    • Chronic Myeloid Leukemia Treatments 4
  • Genetics top 2%
    • Virus-based gene therapy research 4
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 4
    • Protein Degradation and Inhibitors 6
    • Cancer-related gene regulation 4
    • Histone Deacetylase Inhibitors Research 3
  • Oncology top 5%
    • CAR-T cell therapy research 4
  • Genetics top 5%
    • Virus-based gene therapy research 4
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 4

Joachim Schwäble

32 papers receiving 2.1k citations

Peers

Joachim Schwäble
Comparison fields: 5 of 84
  • Hematology 1.1k
  • Genetics 417
  • Molecular Biology 1.2k
  • Oncology 487
  • Genetics 343
Replace Michael D. Milsom with:
Michael D. Milsom Germany
Alice M.S. Cheung Singapore
David Taussig United Kingdom
Donatella Venturelli Italy
Luke F. Peterson United States
Douglas Tkachuk United States
Noel Lenny United States
Richard C. Harvey United States
Marc A. Kerenyi United States
SJ Sharkis United States
Joachim Schwäble relative to Michael D. Milsom Germany Michael D. Milsom's profile →
Citations per field
00.5×1.5×2.3×
Michael D. Milsom · 1×
Citations per year

Countries citing papers authored by Joachim Schwäble

Since Specialization
Citations

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

Fields of papers citing papers by Joachim Schwäble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 20206
4 201915
5 201733
6 201655
7 201422
8 201225
9 2010108
10 20064
11 200560
12 200592
13 200424
14 200424
15 200457
16 2003238
17
Oncogenic receptor tyrosine kinase in leukemia.
200310
18 20025
19 200228
20 20002

About Joachim Schwäble

Joachim Schwäble is a scholar working on Hematology, Genetics and Oncology, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Protein Degradation and Inhibitors (6 papers), Virus-based gene therapy research (4 papers), CAR-T cell therapy research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Cancer-related gene regulation (4 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (417 citations) and Molecular Biology (1.2k citations). Joachim Schwäble has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Hubert Serve, Carsten Müller‐Tidow, Wolfgang E. Berdel, Bülent Sargin, Chunaram Choudhary, Christian Brandts, Lara Tickenbrock, Björn Steffen, Manuel Grez and Janine Reichenbach.

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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