Guy Ledergor

1.8k total citations
10 papers, 303 citations indexed

About

Guy Ledergor is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Guy Ledergor has authored 10 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 6 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Guy Ledergor's work include CAR-T cell therapy research (6 papers), Multiple Myeloma Research and Treatments (6 papers) and Acute Myeloid Leukemia Research (2 papers). Guy Ledergor is often cited by papers focused on CAR-T cell therapy research (6 papers), Multiple Myeloma Research and Treatments (6 papers) and Acute Myeloid Leukemia Research (2 papers). Guy Ledergor collaborates with scholars based in United States, Israel and Spain. Guy Ledergor's co-authors include Chiara Medaglia, Shiri Gur‐Cohen, Tsvee Lapidot, Tomer Itkin, Órit Kollet, Aya Ludin, Kerstin B. Kaufmann, Xin‐Jiang Lu, Karin Golan and Nina Shah and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Antioxidants and Redox Signaling.

In The Last Decade

Guy Ledergor

10 papers receiving 300 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guy Ledergor United States 6 141 140 68 67 54 10 303
Samuel J. Taylor United States 10 146 1.0× 123 0.9× 67 1.0× 73 1.1× 59 1.1× 21 333
Rebecca H. Horton United Kingdom 4 182 1.3× 77 0.6× 46 0.7× 50 0.7× 43 0.8× 8 295
Ashley M. Wellendorf United States 11 197 1.4× 122 0.9× 54 0.8× 137 2.0× 40 0.7× 22 401
Élise Chapiro France 12 160 1.1× 104 0.7× 59 0.9× 127 1.9× 152 2.8× 31 400
Haihui Gu China 12 270 1.9× 58 0.4× 111 1.6× 109 1.6× 52 1.0× 26 483
Vladimir Janković United States 6 209 1.5× 96 0.7× 78 1.1× 55 0.8× 44 0.8× 8 323
Kwang‐Soo Kim United States 5 171 1.2× 88 0.6× 29 0.4× 60 0.9× 25 0.5× 7 288
Rosalind Codrington United Kingdom 7 185 1.3× 109 0.8× 86 1.3× 62 0.9× 15 0.3× 8 339
Cyril Catelain France 10 179 1.3× 47 0.3× 42 0.6× 31 0.5× 50 0.9× 13 256
Veronika Lysenko Switzerland 8 79 0.6× 66 0.5× 82 1.2× 134 2.0× 45 0.8× 13 269

Countries citing papers authored by Guy Ledergor

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Guy Ledergor

This figure shows the co-authorship network connecting the top 25 collaborators of Guy Ledergor. A scholar is included among the top collaborators of Guy Ledergor based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guy Ledergor. Guy Ledergor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Ledergor, Guy, Kaichun Wu, Elizabeth McCarthy, et al.. (2024). CD4+ CAR T-cell exhaustion associated with early relapse of multiple myeloma after BCMA CAR T-cell therapy. Blood Advances. 8(13). 3562–3575. 19 indexed citations
2.
Daver, Naval, Abhishek Maiti, David A. Sallman, et al.. (2024). A first-in-human phase 1, multicenter, open-label study of CB-012, a next-generation CRISPR-edited allogeneic anti-CLL-1 CAR-T cell therapy for adults with relapsed/refractory acute myeloid leukemia (AMpLify).. Journal of Clinical Oncology. 42(16_suppl). TPS6586–TPS6586. 5 indexed citations
3.
4.
Wong, Sandy W., Nina Shah, Guy Ledergor, et al.. (2021). Early Dynamics and Depth of Response in Multiple Myeloma Patients Treated With BCMA CAR-T Cells. Frontiers in Oncology. 11. 783703–783703. 8 indexed citations
6.
Ledergor, Guy, Elizabeth McCarthy, Nina Shah, et al.. (2019). Single cell Dissection of Resistance to anti-BCMA CAR-T cell Therapy. Clinical Lymphoma Myeloma & Leukemia. 19(10). e25–e26. 1 indexed citations
7.
Kambhampati, Swetha, Guy Ledergor, Thomas G. Martin, et al.. (2019). A Single-Center Retrospective Cohort Analysis of Venetoclax in Relapsed/Refractory Multiple Myeloma. Blood. 134(Supplement_1). 5576–5576. 4 indexed citations
8.
Hultcrantz, Malin, Venkata D. Yellapantula, Even H Rustad, et al.. (2018). Mytype targeted next generation sequencing assay for detection of igh translocations and copy number alterations in multiple myeloma. 2. 213–214. 1 indexed citations
9.
Ledergor, Guy, Assaf Weiner, Mor Zada, et al.. (2018). Single cell analysis of multiple myeloma.. Journal of Clinical Oncology. 36(15_suppl). 8026–8026. 1 indexed citations
10.
Ludin, Aya, Shiri Gur‐Cohen, Karin Golan, et al.. (2014). Reactive Oxygen Species Regulate Hematopoietic Stem Cell Self-Renewal, Migration and Development, As Well As Their Bone Marrow Microenvironment. Antioxidants and Redox Signaling. 21(11). 1605–1619. 249 indexed citations

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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