D Kalamasz

859 citations
8 papers · 717 indexed · 1 hit paper · h-index 7
Topics
Hematopoietic Stem Cell Transplantation (3 papers)Virus-based gene therapy research (3 papers)CAR-T cell therapy research (3 papers)
Partner nations
United States

In The Last Decade

D Kalamasz

8 papers receiving 677 citations

Hit Papers

Antigen CD34+ marrow cells engraft lethally irradiated ba...19882026200020131988100200300400

Peers

D Kalamasz
Comparison fields: 5 of 63
  • Hematology 383
  • Immunology 265
  • Molecular Biology 231
  • Oncology 177
  • Genetics 142
Replace I D Bernstein with:
I D Bernstein United States
C Baum Germany
RJ Berenson United States
JE Brandt United States
WM Roberts United States
Peters So United States
WH Fleming United States
T Leemhuis United States
Sergio Matarraz Spain
H Sookdeo France
D Kalamasz relative to I D Bernstein United States I D Bernstein's profile →
Citations per field
00.5×1.5×1.8×
I D Bernstein · 1×
Citations per year

Countries citing papers authored by D Kalamasz

Since Specialization
Citations

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

Fields of papers citing papers by D Kalamasz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D Kalamasz

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 90
2
Modulating T cell signals using CD3/CD28 Xcyte™ Dynabeads® allows for selective expansion or deletion of antigen-specific T cells
1
3
Isolation and ex vivo expansion of CD34+ cells from cord blood using dextran sedimentation and avidin column selection.
13
4
Positive selection of hematopoietic progenitors from marrow and peripheral blood for transplantation.
26
5
Antigen CD34+ marrow cells engraft lethally irradiated baboons.breakdown →
490
6 26
7 64
8
Enhancement of human ADCC with interferon.
7

About D Kalamasz

D Kalamasz is a scholar working on Hematology, Immunology and Oncology, having authored 8 papers that have together received 717 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (3 papers), Virus-based gene therapy research (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Hematology (383 citations), Immunology (265 citations) and Genetics (133 citations). D Kalamasz has collaborated with scholars based in United States. Frequent co-authors include Ronald Berenson, Jack W. Singer, Irwin D. Bernstein, Robert G. Andrews, C. Dean Buckner, G Knitter, William Bensinger, Jane H. Buckner, Ruth Taniguchi and S. Alice Long. Their work appears in journals such as Journal of Clinical Investigation, Blood and Journal of Immunological Methods.

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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