D Kalamasz

859 total citations · 1 hit paper
8 papers, 717 citations indexed

About

D Kalamasz is a scholar working on Oncology, Immunology and Hematology. According to data from OpenAlex, D Kalamasz has authored 8 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Immunology and 3 papers in Hematology. Recurrent topics in D Kalamasz's work include Hematopoietic Stem Cell Transplantation (3 papers), Virus-based gene therapy research (3 papers) and CAR-T cell therapy research (3 papers). D Kalamasz is often cited by papers focused on Hematopoietic Stem Cell Transplantation (3 papers), Virus-based gene therapy research (3 papers) and CAR-T cell therapy research (3 papers). D Kalamasz collaborates with scholars based in United States. D Kalamasz's co-authors include Ronald Berenson, Jack W. Singer, Irwin D. Bernstein, Robert G. Andrews, G Knitter, C. Dean Buckner, William Bensinger, Ruth Taniguchi, Mark Bonyhadi and S. Alice Long and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Journal of Immunological Methods.

In The Last Decade

D Kalamasz

8 papers receiving 677 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Antigen CD34+ marrow cells engraft lethally irradiated baboons.

1988 490 citations Ronald Berenson, Robert G. Andrews et al. Journal of Clinical Investigation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D Kalamasz United States	7	383	265	231	177	142	8	717
C Baum Germany	5	443 1.2×	295 1.1×	326 1.4×	176 1.0×	129 0.9×	7	889
KJ Bross Germany	7	432 1.1×	174 0.7×	146 0.6×	406 2.3×	112 0.8×	7	870
RJ Berenson United States	10	870 2.3×	381 1.4×	286 1.2×	317 1.8×	179 1.3×	16	1.2k
I D Bernstein United States	12	472 1.2×	266 1.0×	242 1.0×	211 1.2×	83 0.6×	12	887
S. M. Luger United States	8	492 1.3×	274 1.0×	407 1.8×	372 2.1×	88 0.6×	14	949
JE Brandt United States	11	691 1.8×	313 1.2×	198 0.9×	151 0.9×	108 0.8×	16	889
WM Roberts United States	12	348 0.9×	263 1.0×	367 1.6×	285 1.6×	199 1.4×	19	1.0k
SJ Szilvassy Australia	10	664 1.7×	373 1.4×	439 1.9×	389 2.2×	127 0.9×	12	1.1k
Christie M. Traycoff United States	13	453 1.2×	298 1.1×	358 1.5×	263 1.5×	286 2.0×	18	906
T Leemhuis United States	18	753 2.0×	552 2.1×	317 1.4×	256 1.4×	124 0.9×	27	1.2k

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

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8 of 8 papers shown

1.

Kalamasz, D, S. Alice Long, Ruth Taniguchi, et al.. (2004). Optimization of Human T-Cell Expansion Ex Vivo Using Magnetic Beads Conjugated with Anti-CD3 and Anti-CD28 Antibodies. Journal of Immunotherapy. 27(5). 405–418. 90 indexed citations

2.

Kalamasz, D, et al.. (2004). Modulating T cell signals using CD3/CD28 Xcyte™ Dynabeads® allows for selective expansion or deletion of antigen-specific T cells. 64. 161–162. 1 indexed citations

3.

Kalamasz, D, et al.. (1994). Isolation and ex vivo expansion of CD34+ cells from cord blood using dextran sedimentation and avidin column selection.. PubMed. 20(2-3). 397–403. 13 indexed citations

4.

Singer, Jack W., R. J. Berenson, Robert G. Andrews, et al.. (1990). Positive selection of hematopoietic progenitors from marrow and peripheral blood for transplantation.. PubMed. 5(2). 74–6. 26 indexed citations

5.

Berenson, Ronald, Robert G. Andrews, Jack W. Singer, et al.. (1988). Antigen CD34+ marrow cells engraft lethally irradiated baboons.. Journal of Clinical Investigation. 81(3). 951–955. 490 indexed citations breakdown →

6.

Berenson, RJ, Jack W. Singer, D Kalamasz, et al.. (1987). Engraftment of dogs with Ia-positive marrow cells isolated by avidin- biotin immunoadsorption. Blood. 69(5). 1363–1367. 26 indexed citations

7.

Berenson, Ronald, William Bensinger, & D Kalamasz. (1986). Positive selection of viable cell populations using avidin-biotin immunoadsorption. Journal of Immunological Methods. 91(1). 11–19. 64 indexed citations

8.

Warren, R P, D Kalamasz, & Rainer Storb. (1982). Enhancement of human ADCC with interferon.. PubMed. 50(1). 183–8. 7 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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