Leo Kunz

1.4k citations
15 papers · 664 indexed · h-index 12

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 7
    • Mesenchymal stem cell research 4

Leo Kunz

15 papers receiving 658 citations

Peers

Leo Kunz
Comparison fields: 5 of 77
  • Hematology 233
  • Genetics 135
  • Cancer Research 118
  • Immunology 164
  • Oncology 206
Replace Diana Passaro with:
Diana Passaro United Kingdom
Cher X. Zhao United States
Chiara Baccin Germany
Riccardo Panero Italy
Shu-Chi Yeh United States
Paul Virgo United Kingdom
Rachel Koldej Australia
Ingbritt Åstrand‐Grundström Sweden
PC Marchisio Italy
Leo Kunz relative to Diana Passaro United Kingdom Diana Passaro's profile →
Citations per field
00.5×1.5×
Diana Passaro · 1×
Citations per year

Countries citing papers authored by Leo Kunz

Since Specialization
Citations

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

Fields of papers citing papers by Leo Kunz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20225
2 202118
3 202122
4 20209
5 202013
6 2020171
7 202068
8 20201
9 201923
10 201912
11 2018106
12 2017101
13 201767
14 201529
15
Clinical and pathologic features of cyclic hematopoiesis in grey collie dogs.
198319

About Leo Kunz

Leo Kunz is a scholar working on Hematology, Genetics, Immunology, Oncology and Emergency Medicine, having authored 15 papers that have together received 664 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Mesenchymal stem cell research (4 papers), Immunotherapy and Immune Responses (3 papers), Cancer Cells and Metastasis (3 papers), Single-cell and spatial transcriptomics (2 papers), CAR-T cell therapy research (2 papers), Hematological disorders and diagnostics (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Hematology (233 citations), Genetics (135 citations), Cancer Research (118 citations), Immunology (164 citations) and Oncology (206 citations). Leo Kunz has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Timm Schroeder, Konstantinos D. Kokkaliaris, Daniel L. Coutu, Cinzia Donato, Barbara M. Szczerba, Iván Martín, Francesc Castro-Giner, Marcus Vetter, Nicola Aceto and Paul Bourgine. Their work appears in journals such as Cancer Research, iScience, Stem Cells, Nature Methods and Proceedings of the National Academy of Sciences.

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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