Daniel J. Landsburg

8.1k citations
136 papers · 3.3k indexed · 1 hit paper · h-index 23
Topics
Lymphoma Diagnosis and Treatment (80 papers)CAR-T cell therapy research (57 papers)Chronic Lymphocytic Leukemia Research (44 papers)
Journals
New England Journal of MedicineJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Daniel J. Landsburg

128 papers receiving 3.2k citations

Hit Papers

Chimeric Antigen Receptor T Cells in Refractory B-Cell Ly...201720262020202320174008001.2k

Peers

Daniel J. Landsburg
Comparison fields: 5 of 90
  • Oncology 2.4k
  • Pathology and Forensic Medicine 908
  • Molecular Biology 722
  • Immunology 721
  • Genetics 716
Replace Bianca Santomasso with:
Bianca Santomasso United States
Jon Arnason United States
Bambi Grilley United States
Carlos A. Ramos United States
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Meng-Fen Wu United States
Karin Straathof United States
Constance M. Yuan United States
Carmel M. Lynch United States
Anita Schmitt Germany
Daniel J. Landsburg relative to Bianca Santomasso United States Bianca Santomasso's profile →
Citations per field
00.5×
Bianca Santomasso · 1×
Citations per year

Countries citing papers authored by Daniel J. Landsburg

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Landsburg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Landsburg. 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 Daniel J. Landsburg. The network helps show where Daniel J. Landsburg may publish in the future.

Co-authorship network of co-authors of Daniel J. Landsburg

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Landsburg. A scholar is included among the top collaborators of Daniel J. Landsburg 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 Daniel J. Landsburg. Daniel J. Landsburg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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3 0
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5 1
6 1
7 11
8 4
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10 2
11 1
12 8
13 27
14 3
15 4
16 17
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Chimeric Antigen Receptor T Cells in Refractory B-Cell Lymphomasbreakdown →
1266
18 113
19 42
20 39

About Daniel J. Landsburg

Daniel J. Landsburg is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology, having authored 136 papers that have together received 3.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (80 papers), CAR-T cell therapy research (57 papers) and Chronic Lymphocytic Leukemia Research (44 papers). The work is most often cited by research in Oncology (2.4k citations), Pathology and Forensic Medicine (908 citations) and Genetics (408 citations). Daniel J. Landsburg has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Sunita D. Nasta, Stephen J. Schuster, Jakub Svoboda, Elise A. Chong, Simon F. Lacey, Anthony R. Mato, Carl H. June, Bruce L. Levine, J. Joseph Melenhorst and David L. Porter. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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