P Beatty

12.2k total citations · 2 hit papers
68 papers, 9.6k citations indexed

About

P Beatty is a scholar working on Hematology, Immunology and Oncology. According to data from OpenAlex, P Beatty has authored 68 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Hematology, 26 papers in Immunology and 13 papers in Oncology. Recurrent topics in P Beatty's work include Hematopoietic Stem Cell Transplantation (39 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (10 papers). P Beatty is often cited by papers focused on Hematopoietic Stem Cell Transplantation (39 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (10 papers). P Beatty collaborates with scholars based in United States, South Africa and Sweden. P Beatty's co-authors include Jill Hows, Thomas Ed, Klingemann Hg, Daniel Weisdorf, Peyton Martin, Donna Przepiorka, Claudio Anasetti, CD Buckner, Jack W. Singer and Paul J. Martin and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Investigation and Blood.

In The Last Decade

P Beatty

68 papers receiving 9.3k citations

Hit Papers

1994 Consensus Conference on Acute GVHD Grading. 1989 2026 2001 2013 1995 1989 1000 2.0k 3.0k
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.

  1. 1994 Consensus Conference on Acute GVHD Grading.
    1995 4.0k citations P Beatty, Jill Hows et al. PubMed profile →
  2. Effect of HLA Compatibility on Engraftment of Bone Marrow Transplants in Patients with Leukemia or Lymphoma
    1989 531 citations C Anasetti, D. B. Amos et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P Beatty United States 33 6.9k 3.8k 2.0k 1.5k 1.2k 68 9.6k
FR Appelbaum United States 63 9.3k 1.3× 3.4k 0.9× 3.4k 1.7× 2.0k 1.3× 2.0k 1.7× 189 12.4k
Chaim Brautbar Israel 38 4.0k 0.6× 3.9k 1.0× 1.5k 0.8× 844 0.6× 902 0.8× 167 8.3k
C. Dean Buckner United States 36 8.4k 1.2× 3.5k 0.9× 2.7k 1.4× 1.5k 1.0× 1.5k 1.3× 95 10.4k
Paul L. Weiden United States 36 5.1k 0.7× 2.4k 0.6× 1.7k 0.9× 904 0.6× 982 0.8× 105 7.6k
Nelson J. Chao United States 54 5.4k 0.8× 3.6k 1.0× 2.8k 1.4× 753 0.5× 1.7k 1.4× 337 11.0k
Robertson Parkman United States 44 2.7k 0.4× 3.1k 0.8× 1.0k 0.5× 455 0.3× 713 0.6× 169 6.8k
Jon J. van Rood Netherlands 42 2.5k 0.4× 3.5k 0.9× 896 0.5× 505 0.3× 574 0.5× 114 6.5k
George E. Sale United States 37 4.5k 0.7× 2.1k 0.5× 1.7k 0.9× 935 0.6× 1.1k 0.9× 97 7.4k
Alexandra H. Filipovich United States 63 11.9k 1.7× 9.3k 2.5× 1.7k 0.9× 1.1k 0.8× 1.2k 1.0× 165 16.3k
Donald Bunjes Germany 48 3.8k 0.6× 2.5k 0.7× 1.9k 0.9× 1.1k 0.7× 1.4k 1.2× 221 7.7k

Countries citing papers authored by P Beatty

Since Specialization
Citations

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

Fields of papers citing papers by P Beatty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P Beatty

This figure shows the co-authorship network connecting the top 25 collaborators of P Beatty. A scholar is included among the top collaborators of P Beatty 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 P Beatty. P Beatty 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
1.
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Adams, R., et al.. (1999). Pre-emptive use of aerosolized ribavirin in the treatment of asymptomatic pediatric marrow transplant patients testing positive for RSV. Bone Marrow Transplantation. 24(6). 661–664. 35 indexed citations
3.
Raetz, Elizabeth A., P Beatty, & R. Adams. (1997). Treatment of severe Evans syndrome with an allogeneic cord blood transplant. Bone Marrow Transplantation. 20(5). 427–429. 34 indexed citations
4.
Beatty, P, et al.. (1997). Allogeneic bone marrow transplant for chronic myelogenous leukemia in a patient with multiple sclerosis. Bone Marrow Transplantation. 19(4). 395–397. 65 indexed citations
5.
Leppert, Mark, et al.. (1996). Localization to chromosome 22 of a gene encoding a human minor histocompatibility antigen. The Journal of Immunology. 157(12). 5448–5454. 21 indexed citations
6.
Bearman, SI, P Beatty, Wally Meyer, et al.. (1994). Comparison of morbidity and mortality after marrow transplantation from HLA-genotypically identical siblings and HLA-phenotypically identical unrelated donors.. PubMed. 13(1). 31–5. 25 indexed citations
7.
Beatty, P, et al.. (1993). Bone marrow transplantation for the treatment of hematologic diseases: status in 1992.. PubMed. 7(7). 1123–9. 7 indexed citations
8.
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Thomas, Elisa, Jon van Rood, J M Goldman, et al.. (1992). Bone marrow transplants using volunteer donors - Recommendations and requirements for a standardized practice throughout the world. Bone Marrow Transplantation. 10(3). 287–291. 19 indexed citations
10.
Johnsen, Hans Erik, et al.. (1992). Donor alloreactivity may predict acute graft‐versus‐host disease in HLA‐matched bone marrow transplantation for leukemia in early remission. European Journal Of Haematology. 48(5). 249–253. 7 indexed citations
11.
Mickelson, E.M., P Beatty, D. B. Amos, et al.. (1992). Mixed leukocyte culture reactivity and graft-versus-host disease in HLA-identical marrow transplantation for leukemia.. PubMed. 9(2). 87–90. 28 indexed citations
12.
Larson, E. B., et al.. (1990). The first‐year costs of establishing an unrelated bone marrow donor registry. Transfusion. 30(2). 138–141. 1 indexed citations
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14.
Beatty, P, et al.. (1989). Recruiting blood donors into a local bone marrow donor registry. Transfusion. 29(9). 778–782. 16 indexed citations
15.
Anasetti, C, D. B. Amos, P Beatty, et al.. (1989). Effect of HLA Compatibility on Engraftment of Bone Marrow Transplants in Patients with Leukemia or Lymphoma. New England Journal of Medicine. 320(4). 197–204. 531 indexed citations breakdown →
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AXBERG, I., Urban Ramstedt, Manuel E. Patarroyo, P Beatty, & Hans Wigzell. (1987). Inhibition of Natural Killer Cell Cytotoxicity by a Monoclonal Antibody Directed against Adhesion‐Mediating Protein gp 90 (CD18). Scandinavian Journal of Immunology. 26(5). 547–554. 23 indexed citations
19.
Martin, Paul J., J A Ledbetter, Y Morishita, et al.. (1986). A 44 kilodalton cell surface homodimer regulates interleukin 2 production by activated human T lymphocytes.. The Journal of Immunology. 136(9). 3282–3287. 164 indexed citations
20.
Diener, Annette, P Beatty, Hans D. Ochs, & John M. Harlan. (1985). The role of neutrophil membrane glycoprotein 150 (Gp-150) in neutrophil-mediated endothelial cell injury in vitro.. The Journal of Immunology. 135(1). 537–543. 58 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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