Joseph Kauer

427 citations
23 papers · 196 · h-index 8

Impact in

    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • CAR-T cell therapy research

Papers in

    • Acute Myeloid Leukemia Research 8
    • Multiple Myeloma Research and Treatments 7
    • Hematopoietic Stem Cell Transplantation 3
    • CAR-T cell therapy research 6
    • Cancer Treatment and Pharmacology 2

Joseph Kauer

22 papers receiving 196 citations

Peers

Joseph Kauer
Comparison fields: 5 of 36
  • Hematology 58
  • Oncology 107
  • Immunology 82
  • Genetics 21
  • Radiology, Nuclear Medicine and Imaging 44
Replace Simon Steiger with:
Simon Steiger Germany
Jing Christine Ye United States
Mahan Moshir Belgium
Ilona Hagelstein Germany
Heather Ogana United States
Yadira M. Soto-Feliciano United States
Yu Abe Japan
Lauren Harvey United States
Vincent Nadeem Canada
S B Ebeling Netherlands
Joseph Kauer relative to Simon Steiger Germany Simon Steiger's profile →
Citations per field
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Simon Steiger · 1×
Citations per year

Countries citing papers authored by Joseph Kauer

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Kauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Joseph Kauer, 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 Joseph Kauer Line = papers co-authored together Joseph Kauer 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 202038
2 202232
3 201921
4 202019
5 202016
6 20238
7 20208
8 20227
9 20226
10 20206
11 20235
12 20204
13 20254
14 20234
15 20204
16 20223
17 20213
18 20222
19 20232
20 20222

About Joseph Kauer

Joseph Kauer is a scholar working on Hematology, Oncology, Molecular Biology, Immunology and Genetics, having authored 23 papers that have together received 196 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Multiple Myeloma Research and Treatments (7 papers), CAR-T cell therapy research (6 papers), Chronic Lymphocytic Leukemia Research (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immune cells in cancer (3 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Hematology (58 citations), Oncology (107 citations), Immunology (82 citations), Genetics (21 citations) and Radiology, Nuclear Medicine and Imaging (44 citations). Joseph Kauer has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Jonas S. Heitmann, Helmut R. Salih, Melanie Märklin, Gundram Jung, Clemens Hinterleitner, Latifa Zekri, Malte Roerden, Hans‐Georg Rammensee, Ilona Hagelstein and Stefanie Müller. Their work appears in journals such as Cancers, Journal for ImmunoTherapy of Cancer, Scientific Reports, Annals of Hematology and BMJ Open.

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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