Guy Ledergor
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Mesenchymal stem cell research
Papers in
- Hematology 10
- Multiple Myeloma Research and Treatments 6
- Hematopoietic Stem Cell Transplantation 3
- Oncology 7
- CAR-T cell therapy research 5
- Chemokine receptors and signaling 2
- Co-authors
- Karin Golan (2 shared papers)Tsvee Lapidot (2 shared papers)Aya Ludin (2 shared papers)Órit Kollet (2 shared papers)Tomer Itkin (2 shared papers)Shiri Gur‐Cohen (2 shared papers)Chiara Medaglia (1 shared paper)Kerstin B. Kaufmann (1 shared paper)
- Journals
- Nature Medicine (2 papers)Blood (2 papers)Antioxidants and Redox Signaling (1 paper)Nature Biotechnology (1 paper)Blood Advances (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Guy Ledergor
13 papers receiving 1.5k citations
Guy Ledergor's Hit Papers
Peers
Comparison fields: 5 of 83
- Hematology 777
- Genetics 240
- Immunology 394
- Oncology 347
- Cancer Research 190
Countries citing papers authored by Guy Ledergor
This map shows the geographic impact of Guy Ledergor'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 Guy Ledergor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Ledergor more than expected).
Fields of papers citing papers by Guy Ledergor
This network shows the impact of papers produced by Guy Ledergor. 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 Guy Ledergor. The network helps show where Guy Ledergor may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Ledergor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Distinct bone marrow blood vessels differentially regulate haematopoiesis Hit paper breakdown → | 2016 | 580 |
| 2 | 2014 | 271 | |
| 3 | 2018 | 203 | |
| 4 | 2015 | 125 | |
| 5 | 2019 | 115 | |
| 6 | 2020 | 113 | |
| 7 | 2024 | 35 | |
| 8 | 2024 | 15 | |
| 9 | 2021 | 9 | |
| 10 | 2015 | 5 | |
| 11 | 2019 | 1 | |
| 12 | 2015 | 1 | |
| 13 | Mytype targeted next generation sequencing assay for detection of igh translocations and copy number alterations in multiple myeloma | 2018 | 1 |
About Guy Ledergor
Guy Ledergor is a scholar working on Hematology, Oncology, Immunology, Cancer Research and Molecular Biology, having authored 13 papers that have together received 1.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (6 papers), CAR-T cell therapy research (5 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cancer Genomics and Diagnostics (2 papers), Immune Cell Function and Interaction (2 papers), Chemokine receptors and signaling (2 papers), T-cell and B-cell Immunology (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Hematology (777 citations), Genetics (240 citations), Immunology (394 citations), Oncology (347 citations) and Cancer Research (190 citations). Guy Ledergor has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Karin Golan, Tsvee Lapidot, Aya Ludin, Órit Kollet, Tomer Itkin, Shiri Gur‐Cohen, Chiara Medaglia, Kerstin B. Kaufmann, Xin‐Jiang Lu and Ziv Porat. Their work appears in journals such as Nature Medicine, Blood, Antioxidants and Redox Signaling, Nature Biotechnology and Blood Advances.
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.