Michael Haagenson

8.2k total citations · 2 hit papers
78 papers, 4.8k citations indexed

About

Michael Haagenson is a scholar working on Hematology, Immunology and Transplantation. According to data from OpenAlex, Michael Haagenson has authored 78 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Hematology, 55 papers in Immunology and 16 papers in Transplantation. Recurrent topics in Michael Haagenson's work include Hematopoietic Stem Cell Transplantation (59 papers), T-cell and B-cell Immunology (42 papers) and Immune Cell Function and Interaction (38 papers). Michael Haagenson is often cited by papers focused on Hematopoietic Stem Cell Transplantation (59 papers), T-cell and B-cell Immunology (42 papers) and Immune Cell Function and Interaction (38 papers). Michael Haagenson collaborates with scholars based in United States, Germany and United Kingdom. Michael Haagenson's co-authors include Stephen R. Spellman, John P. Klein, Mary M. Horowitz, Tao Wang, Effie W. Petersdorf, Stephanie J. Lee, Claudio Anasetti, Daniel J. Weisdorf, Dennis L. Confer and Carolyn Katovich Hurley and has published in prestigious journals such as New England Journal of Medicine, JAMA and Journal of Clinical Oncology.

In The Last Decade

Michael Haagenson

76 papers receiving 4.7k citations

Hit Papers

High-resolution donor-recipient HLA matching contributes ... 2007 2026 2013 2019 2007 2017 250 500 750
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. High-resolution donor-recipient HLA matching contributes to the success of unrelated donor marrow transplantation
    2007 886 citations Stephanie J. Lee, John P. Klein et al. profile →
  2. Prognostic Mutations in Myelodysplastic Syndrome after Stem-Cell Transplantation
    2017 473 citations Tao Wang, Michael Haagenson et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Haagenson United States 29 3.4k 3.0k 887 604 537 78 4.8k
Machteld Oudshoorn Netherlands 34 2.9k 0.8× 2.7k 0.9× 398 0.4× 858 1.4× 298 0.6× 120 4.1k
Michèle L. Donato United States 34 3.2k 0.9× 1.4k 0.5× 1.3k 1.4× 316 0.5× 766 1.4× 121 4.4k
Javier Bolaños‐Meade United States 32 3.0k 0.9× 1.4k 0.5× 1.0k 1.2× 413 0.7× 892 1.7× 119 4.2k
Sally Arai United States 35 2.4k 0.7× 1.5k 0.5× 1.2k 1.4× 305 0.5× 548 1.0× 149 4.4k
Asad Bashey United States 32 2.6k 0.8× 1.2k 0.4× 1.4k 1.6× 245 0.4× 420 0.8× 162 3.5k
A Schattenberg Netherlands 26 3.0k 0.9× 1.7k 0.6× 1.2k 1.3× 159 0.3× 629 1.2× 77 4.0k
HJ Kolb Germany 18 3.4k 1.0× 1.9k 0.6× 925 1.0× 208 0.3× 792 1.5× 30 4.4k
MM Horowitz United States 20 4.0k 1.2× 2.1k 0.7× 1.2k 1.4× 240 0.4× 700 1.3× 32 4.7k
HJ Kolb Germany 22 2.9k 0.9× 1.5k 0.5× 810 0.9× 189 0.3× 620 1.2× 50 3.7k
Mei-Jie Zhang United States 26 2.6k 0.8× 847 0.3× 811 0.9× 204 0.3× 510 0.9× 44 3.1k

Countries citing papers authored by Michael Haagenson

Since Specialization
Citations

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

Fields of papers citing papers by Michael Haagenson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Haagenson

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Haagenson. A scholar is included among the top collaborators of Michael Haagenson 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 Michael Haagenson. Michael Haagenson 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.
2.
Pingel, Julia, Tao Wang, Arnon Nagler, et al.. (2018). The effect of NIMA matching in adult unrelated mismatched hematopoietic stem cell transplantation – a joint study of the Acute Leukemia Working Party of the EBMT and the CIBMTR. Bone Marrow Transplantation. 54(6). 849–857. 3 indexed citations
3.
4.
Wang, Youjin, Weiyin Zhou, Blanche P. Alter, et al.. (2018). Chromosomal Aberrations and Survival after Unrelated Donor Hematopoietic Stem Cell Transplant in Patients with Fanconi Anemia. Biology of Blood and Marrow Transplantation. 24(10). 2003–2008. 8 indexed citations
5.
Gadalla, Shahinaz M., Tao Wang, David J. Loftus, et al.. (2017). No association between donor telomere length and outcomes after allogeneic unrelated hematopoietic cell transplant in patients with acute leukemia. Bone Marrow Transplantation. 53(4). 383–391. 14 indexed citations
6.
Wang, Youjin, Tao Wang, Casey Dagnall, et al.. (2017). Relative Telomere Length before Hematopoietic Cell Transplantation and Outcome after Unrelated Donor Hematopoietic Cell Transplantation for Acute Leukemia. Biology of Blood and Marrow Transplantation. 23(7). 1054–1058. 8 indexed citations
7.
Madbouly, Abeer, Tao Wang, Michael Haagenson, et al.. (2017). Investigating the Association of Genetic Admixture and Donor/Recipient Genetic Disparity with Transplant Outcomes. Biology of Blood and Marrow Transplantation. 23(6). 1029–1037. 8 indexed citations
8.
William, Basem M., Tao Wang, Michael Haagenson, et al.. (2017). Impact of HLA Alleles on Outcomes of Allogeneic Transplantation for B Cell Non-Hodgkin Lymphomas: A Center for International Blood and Marrow Transplant Research Analysis. Biology of Blood and Marrow Transplantation. 24(4). 827–831. 1 indexed citations
9.
Marino, Susana R., T.A. Binkowski, Michael Haagenson, et al.. (2016). Identification of high-risk amino-acid substitutions in hematopoietic cell transplantation: a challenging task. Bone Marrow Transplantation. 51(10). 1342–1349. 7 indexed citations
10.
Jindra, Peter, Susan E. Conway, Stacy Ricklefs, et al.. (2015). Analysis of a Genetic Polymorphism in the Costimulatory Molecule TNFSF4 with Hematopoietic Stem Cell Transplant Outcomes. Biology of Blood and Marrow Transplantation. 22(1). 27–36. 7 indexed citations
11.
Weisdorf, Daniel J., Sarah Cooley, Steven M. Devine, et al.. (2011). T Cell–Depleted Partial Matched Unrelated Donor Transplant for Advanced Myeloid Malignancy: KIR Ligand Mismatch and Outcome. Biology of Blood and Marrow Transplantation. 18(6). 937–943. 17 indexed citations
12.
Marino, Susana R., Sheldon S. Lin, Martin Maiers, et al.. (2011). Identification by random forest method of HLA class I amino acid substitutions associated with lower survival at day 100 in unrelated donor hematopoietic cell transplantation. Bone Marrow Transplantation. 47(2). 217–226. 26 indexed citations
13.
Uberti, Joseph P., Afiba Manza‐A. Agovi, Sergey Tarima, et al.. (2010). Comparative analysis of BU and CY versus CY and TBI in full intensity unrelated marrow donor transplantation for AML, CML and myelodysplasia. Bone Marrow Transplantation. 46(1). 34–43. 15 indexed citations
14.
Tomblyn, Marcie, Jo‐Anne H. Young, Michael Haagenson, et al.. (2010). Decreased Infections in Recipients of Unrelated Donor Hematopoietic Cell Transplantation from Donors with an Activating KIR Genotype. Biology of Blood and Marrow Transplantation. 16(8). 1155–1161. 26 indexed citations
15.
Spellman, Stephen R., Michael Haagenson, Bradley C. Pietz, et al.. (2009). Effects of Mismatching for Minor Histocompatibility Antigens on Clinical Outcomes in HLA-Matched, Unrelated Hematopoietic Stem Cell Transplants. Biology of Blood and Marrow Transplantation. 15(7). 856–863. 41 indexed citations
16.
Weisdorf, Daniel J., Gene Nelson, Stephanie J. Lee, et al.. (2009). Sibling versus Unrelated Donor Allogeneic Hematopoietic Cell Transplantation for Chronic Myelogenous Leukemia: Refined HLA Matching Reveals More Graft-versus-Host Disease but not Less Relapse. Biology of Blood and Marrow Transplantation. 15(11). 1475–1478. 29 indexed citations
17.
Xiao, Yao, A. M. Lázaro, Michael Haagenson, et al.. (2009). Evaluating the potential impact of mismatches outside the antigen recognition site in unrelated hematopoietic stem cell transplantation: HLA‐DRB1*1454 and DRB1*140101. Tissue Antigens. 73(6). 595–598. 34 indexed citations
18.
Weisdorf, Daniel J., Stephen R. Spellman, Michael Haagenson, et al.. (2008). Classification of HLA-Matching for Retrospective Analysis of Unrelated Donor Transplantation: Revised Definitions to Predict Survival. Biology of Blood and Marrow Transplantation. 14(7). 748–758. 115 indexed citations
19.
Malkki, Mari, Ted Gooley, Mary M. Horowitz, et al.. (2007). Mapping MHC-Resident Transplantation Determinants. Biology of Blood and Marrow Transplantation. 13(8). 986–995. 10 indexed citations
20.
Baxter-Lowe, L.A., Martin Maiers, Stephen R. Spellman, et al.. (2004). Determining immunogenicity of HLA disparities in unrelated hematopoietic stem cell transplants. Human Immunology. 65(9-10). S75–S75. 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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