D. A. Pearson

750 total citations
13 papers, 638 citations indexed

About

D. A. Pearson is a scholar working on Hematology, Immunology and Surgery. According to data from OpenAlex, D. A. Pearson has authored 13 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 8 papers in Immunology and 2 papers in Surgery. Recurrent topics in D. A. Pearson's work include Hematopoietic Stem Cell Transplantation (8 papers), T-cell and B-cell Immunology (5 papers) and Immunotherapy and Immune Responses (4 papers). D. A. Pearson is often cited by papers focused on Hematopoietic Stem Cell Transplantation (8 papers), T-cell and B-cell Immunology (5 papers) and Immunotherapy and Immune Responses (4 papers). D. A. Pearson collaborates with scholars based in United States. D. A. Pearson's co-authors include Megan Sykes, Gregory L. Szot, M Sykes, Mark W. Harty, Justin J. Sergio, B Dey, Yong‐Guang Yang, Varghese Abraham, Franz Karlhofer and Wayne M. Yokoyama and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.

In The Last Decade

D. A. Pearson

13 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. A. Pearson United States 7 515 373 85 74 69 13 638
M Sykes United States 6 316 0.6× 275 0.7× 62 0.7× 71 1.0× 42 0.6× 9 459
Hannah Cullup United Kingdom 11 280 0.5× 272 0.7× 30 0.4× 38 0.5× 35 0.5× 15 436
Kristina Doser Germany 7 547 1.1× 109 0.3× 91 1.1× 127 1.7× 58 0.8× 10 624
Maggie Millrain United Kingdom 12 467 0.9× 71 0.2× 62 0.7× 70 0.9× 45 0.7× 13 560
Laura Wisch United States 6 214 0.4× 133 0.4× 26 0.3× 69 0.9× 46 0.7× 10 336
Anna Poros Hungary 10 265 0.5× 142 0.4× 23 0.3× 86 1.2× 20 0.3× 26 442
Alicia Foley United States 8 182 0.4× 201 0.5× 298 3.5× 74 1.0× 177 2.6× 10 545
H Daxberger Austria 7 118 0.2× 416 1.1× 39 0.5× 45 0.6× 28 0.4× 7 472
Roberta Iacucci Ostini Italy 5 322 0.6× 218 0.6× 18 0.2× 115 1.6× 29 0.4× 10 407
CHRISTINE C. B. SODERLING United States 10 322 0.6× 275 0.7× 21 0.2× 46 0.6× 31 0.4× 12 433

Countries citing papers authored by D. A. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by D. A. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. A. Pearson

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

All Works

13 of 13 papers shown
2.
Yang, Yong‐Guang, B Dey, Justin J. Sergio, D. A. Pearson, & M Sykes. (1998). Donor-derived interferon gamma is required for inhibition of acute graft-versus-host disease by interleukin 12.. Journal of Clinical Investigation. 102(12). 2126–2135. 149 indexed citations
3.
Zhao, Yong, Justin J. Sergio, D. A. Pearson, et al.. (1997). Repopulation of mouse CD4 cells in BALB/c nude mice receiving fetal pig thymus/liver grafts. Transplantation Proceedings. 29(1-2). 1228–1229. 5 indexed citations
4.
Zhao, Yong, J. A. Fishman, Justin J. Sergio, et al.. (1997). Immune restoration by fetal pig thymus grafts in T cell-depleted, thymectomized mice. The Journal of Immunology. 158(4). 1641–1649. 70 indexed citations
5.
Sykes, Megan, et al.. (1995). Interleukin-12 inhibits murine graft-versus-host disease. Blood. 86(6). 2429–2438. 103 indexed citations
6.
Szebeni, János, et al.. (1994). IL-2 inhibits early increases in serum gamma interferon levels associated with graft-versus-host-disease.. PubMed. 58(12). 1385–93. 42 indexed citations
9.
Sykes, Megan, Varghese Abraham, Mark W. Harty, & D. A. Pearson. (1993). Selective inhibition of CD4 graft-versus-host activity in IL-2-treated mice.. PubMed. 25(1 Pt 2). 1225–6. 3 indexed citations
10.
Sykes, Megan, Mark W. Harty, Franz Karlhofer, et al.. (1993). Hematopoietic cells and radioresistant host elements influence natural killer cell differentiation.. The Journal of Experimental Medicine. 178(1). 223–229. 87 indexed citations
11.
Sykes, Megan, Varghese Abraham, Mark W. Harty, & D. A. Pearson. (1993). IL-2 reduces graft-versus-host disease and preserves a graft-versus-leukemia effect by selectively inhibiting CD4+ T cell activity. The Journal of Immunology. 150(1). 197–205. 94 indexed citations
12.
Sachs, David H., David M. Bodine, A D Moulton, et al.. (1993). Tolerance induction using autologous bone marrow modified with an allogeneic class I MHC gene.. PubMed. 25(1 Pt 1). 348–9. 6 indexed citations
13.
Pearson, D. A.. (1976). Medulloblastoma of the cerebellum.. PubMed. 9(9). 73–5. 1 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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