Patrick G. Beatty

6.9k citations
44 papers · 3.5k indexed · 2 hit papers · h-index 24
Topics
Hematopoietic Stem Cell Transplantation (25 papers)T-cell and B-cell Immunology (15 papers)Renal Transplantation Outcomes and Treatments (8 papers)

In The Last Decade

Patrick G. Beatty

42 papers receiving 3.3k citations

Hit Papers

Analysis of 462 Transplantations from Unrelated Donors Fa...198520261998201219931985200400600

Peers

Patrick G. Beatty
Comparison fields: 5 of 98
  • Hematology 2.4k
  • Immunology 1.6k
  • Oncology 673
  • Public Health, Environmental and Occupational Health 496
  • Genetics 371
Replace John Kersey with:
John Kersey United States
Yoshihisa Kodera Japan
Mitchell E. Horwitz United States
Hélène Espérou France
Voravit Ratanatharathorn United States
Yoichi Takaue Japan
J Aschan Sweden
Bimalangshu R. Dey United States
Agnès Devergie France
JA Hansen United States
Patrick G. Beatty relative to John Kersey United States John Kersey's profile →
Citations per field
00.5×1.5×2.3×
John Kersey · 1×
Citations per year

Countries citing papers authored by Patrick G. Beatty

Since Specialization
Citations

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

Fields of papers citing papers by Patrick G. Beatty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick G. Beatty

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick G. Beatty. A scholar is included among the top collaborators of Patrick G. 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 Patrick G. Beatty. Patrick G. 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
#WorkIndexed citations
1 49
2 1
3 93
4 93
5 7
6 61
7 164
8 6
9 9
10 98
11 22
12
Analysis of 462 Transplantations from Unrelated Donors Facilitated by the National Marrow Donor Programbreakdown →
658
13 50
14 218
15 266
16 44
17 117
18 81
19 7
20 39

About Patrick G. Beatty

Patrick G. Beatty is a scholar working on Transplantation, Hematology and Immunology, having authored 44 papers that have together received 3.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (25 papers), T-cell and B-cell Immunology (15 papers) and Renal Transplantation Outcomes and Treatments (8 papers). The work is most often cited by research in Hematology (2.4k citations), Transplantation (341 citations) and Immunology (1.6k citations). Patrick G. Beatty has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Jean E. Sanders, John A. Hansen, Edgar L. Milford, Paul J. Martin, E. Donnall Thomas, Patricia Stewart, Eric Mickelson, Brenda Nisperos, Reginald A. Clift and Claudio Anasetti. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and The Journal of Immunology.

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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