Guy Ledergor
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
-
- Mesenchymal stem cell research
Papers in
-
- Multiple Myeloma Research and Treatments 6
- Acute Myeloid Leukemia Research 1
- Oncology 6
- CAR-T cell therapy research 6
- Co-authors
- Shiri Gur‐Cohen (1 shared paper)Chiara Medaglia (1 shared paper)Xin‐Jiang Lu (1 shared paper)Tomer Itkin (1 shared paper)Tsvee Lapidot (1 shared paper)Karin Golan (1 shared paper)Kerstin B. Kaufmann (1 shared paper)Aya Ludin (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Blood (2 papers)Antioxidants and Redox Signaling (1 paper)Blood Advances (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- United StatesIsraelSpain
In The Last Decade
Guy Ledergor
10 papers receiving 317 citations
Peers
Comparison fields: 5 of 60
- Hematology 135
- Genetics 46
- Immunology 64
- Oncology 70
- Cancer Research 36
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 | 2014 | 258 | |
| 2 | 2024 | 26 | |
| 3 | 2023 | 10 | |
| 4 | 2021 | 9 | |
| 5 | 2024 | 6 | |
| 6 | 2019 | 6 | |
| 7 | 2019 | 4 | |
| 8 | 2019 | 1 | |
| 9 | Mytype targeted next generation sequencing assay for detection of igh translocations and copy number alterations in multiple myeloma | 2018 | 1 |
| 10 | 2018 | 1 |
About Guy Ledergor
Guy Ledergor is a scholar working on Hematology, Oncology, Molecular Biology, Immunology and Infectious Diseases, having authored 10 papers that have together received 322 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (6 papers), CAR-T cell therapy research (6 papers), Biosimilars and Bioanalytical Methods (2 papers), CRISPR and Genetic Engineering (2 papers), Acute Myeloid Leukemia Research (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Glycosylation and Glycoproteins Research (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Hematology (135 citations), Genetics (46 citations), Immunology (64 citations), Oncology (70 citations) and Cancer Research (36 citations). Guy Ledergor has collaborated with scholars based in United States, Israel and Spain. Frequent co-authors include Shiri Gur‐Cohen, Chiara Medaglia, Xin‐Jiang Lu, Tomer Itkin, Tsvee Lapidot, Karin Golan, Kerstin B. Kaufmann, Aya Ludin, Órit Kollet and Jeffrey L. Wolf. Their work appears in journals such as Journal of Clinical Oncology, Blood, Antioxidants and Redox Signaling, Blood Advances and Frontiers in Oncology.
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.