Michelle Setterholm

5.2k total citations · 1 hit paper
52 papers, 2.8k citations indexed

About

Michelle Setterholm is a scholar working on Hematology, Immunology and Transplantation. According to data from OpenAlex, Michelle Setterholm has authored 52 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Hematology, 37 papers in Immunology and 15 papers in Transplantation. Recurrent topics in Michelle Setterholm's work include Hematopoietic Stem Cell Transplantation (35 papers), T-cell and B-cell Immunology (35 papers) and Immune Cell Function and Interaction (21 papers). Michelle Setterholm is often cited by papers focused on Hematopoietic Stem Cell Transplantation (35 papers), T-cell and B-cell Immunology (35 papers) and Immune Cell Function and Interaction (21 papers). Michelle Setterholm collaborates with scholars based in United States, Netherlands and United Kingdom. Michelle Setterholm's co-authors include Carolyn Katovich Hurley, Dennis L. Confer, Marcelo Fernández-Viña, Stephen R. Spellman, Martin Maiers, Machteld Oudshoorn, Claudio Anasetti, Harriet Noreen, Mary M. Horowitz and Stephanie J. Lee and has published in prestigious journals such as Blood, Transplantation and Medical Decision Making.

In The Last Decade

Michelle Setterholm

52 papers receiving 2.8k citations

Hit Papers

1 papers align trajectories

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.

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 →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michelle Setterholm United States	27	2.0k	1.9k	647	370	232	52	2.8k
Machteld Oudshoorn Netherlands	34	2.9k 1.4×	2.7k 1.5×	858 1.3×	469 1.3×	398 1.7×	120	4.1k
Christine Colby United States	18	1.1k 0.6×	845 0.4×	449 0.7×	150 0.4×	416 1.8×	28	1.8k
Michael Haagenson United States	29	3.4k 1.7×	3.0k 1.6×	604 0.9×	520 1.4×	887 3.8×	78	4.8k
Paolo Di Bartolomeo Italy	21	2.0k 1.0×	778 0.4×	218 0.3×	662 1.8×	678 2.9×	87	2.5k
PJ Martin United States	13	1.2k 0.6×	748 0.4×	194 0.3×	154 0.4×	268 1.2×	20	1.5k
Etsuko Maruya Japan	24	738 0.4×	790 0.4×	349 0.5×	107 0.3×	216 0.9×	72	1.8k
HJ Kolb Germany	22	2.9k 1.4×	1.5k 0.8×	189 0.3×	653 1.8×	810 3.5×	50	3.7k
Anna Richards United Kingdom	26	999 0.5×	2.4k 1.3×	224 0.3×	190 0.5×	43 0.2×	45	3.0k
RC Ash United States	21	1.9k 0.9×	723 0.4×	121 0.2×	539 1.5×	486 2.1×	32	2.4k
RA Nash United States	17	948 0.5×	521 0.3×	164 0.3×	151 0.4×	272 1.2×	33	1.4k

Countries citing papers authored by Michelle Setterholm

Since Specialization

Citations

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

Fields of papers citing papers by Michelle Setterholm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Setterholm

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

All Works

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20 of 20 papers shown

Dehn, Jason, Michelle Setterholm, Jane Kempenich, et al.. (2016). HapLogic: A Predictive Human Leukocyte Antigen–Matching Algorithm to Enhance Rapid Identification of the Optimal Unrelated Hematopoietic Stem Cell Sources for Transplantation. Biology of Blood and Marrow Transplantation. 22(11). 2038–2046. 57 indexed citations

Dehn, Jason, Martin Maiers, Dennis L. Confer, et al.. (2014). 8/8 and 10/10 High-Resolution Match Rate for the Be The Match Unrelated Donor Registry. Biology of Blood and Marrow Transplantation. 21(1). 137–141. 30 indexed citations

Kollman, Craig, John P. Klein, Stephen R. Spellman, et al.. (2013). The Effect of Donor Characteristics On Graft Vs. Host Disease (GVHD) and Survival After Unrelated Donor Transplantation for Hematologic Malignancy. Biology of Blood and Marrow Transplantation. 19(2). S146–S147. 3 indexed citations

González-Galarza, Faviel F., Steven J. Mack, Jill A. Hollenbach, et al.. (2012). 16^th IHIW: Extending the number of resources and bioinformatics analysis for the investigation of HLA rare alleles. International Journal of Immunogenetics. 40(1). 60–65. 14 indexed citations

Hurley, Carolyn Katovich, Machteld Oudshoorn, & Michelle Setterholm. (2012). Donor Registries and Search Strategies. Methods in molecular biology. 882. 531–547. 9 indexed citations

Valcárcel, David, Jorge Sierra, Tao Wang, et al.. (2010). One-Antigen Mismatched Related versus HLA-Matched Unrelated Donor Hematopoietic Stem Cell Transplantation in Adults with Acute Leukemia: Center for International Blood and Marrow Transplant Research Results in the Era of Molecular HLA Typing. Biology of Blood and Marrow Transplantation. 17(5). 640–648. 39 indexed citations

Collins, Nancy, Adrian P. Gee, April Durett, et al.. (2009). The Effect of the Composition of Unrelated Donor Bone Marrow and Peripheral Blood Progenitor Cell Grafts on Transplantation Outcomes. Biology of Blood and Marrow Transplantation. 16(2). 253–262. 20 indexed citations

Howard, David H., David O. Meltzer, Craig Kollman, et al.. (2008). Use of Cost-Effectiveness Analysis to Determine Inventory Size for a National Cord Blood Bank. Medical Decision Making. 28(2). 243–253. 26 indexed citations

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

10.

Williams, Thomas, Michelle Setterholm, Cynthia Vierra‐Green, et al.. (2008). Strategies and technical challenges in allele level Class II typing in 2578 bone marrow transplantation donor–recipient pairs. Human Immunology. 69(4-5). 227–234. 1 indexed citations

11.

Spellman, Stephen R., Michelle Setterholm, Martin Maiers, et al.. (2008). Advances in the Selection of HLA-Compatible Donors: Refinements in HLA Typing and Matching over the First 20 Years of the National Marrow Donor Program Registry. Biology of Blood and Marrow Transplantation. 14(9). 37–44. 60 indexed citations

12.

Dehn, Jason, Mukta Arora, Stephen R. Spellman, et al.. (2008). Unrelated Donor Hematopoietic Cell Transplantation: Factors Associated with a Better HLA Match. Biology of Blood and Marrow Transplantation. 14(12). 1334–1340. 36 indexed citations

13.

Kollman, Craig, Martin Maiers, Loren Gragert, et al.. (2007). Estimation of HLA-A, -B, -DRB1 Haplotype Frequencies Using Mixed Resolution Data from a National Registry with Selective Retyping of Volunteers. Human Immunology. 68(12). 950–958. 64 indexed citations

14.

Kempenich, Jane, Michelle Setterholm, & Martin Maiers. (2006). Haplotype associations of 90 rare alleles from the National Marrow Donor Program®^®. Tissue Antigens. 67(4). 284–289. 23 indexed citations

15.

Maiers, Martin & Michelle Setterholm. (2006). 113-P. Human Immunology. 67. S127–S127. 4 indexed citations

16.

Farag, Sherif S., Andrea Bacigalupo, Mary Eapen, et al.. (2006). The Effect of KIR Ligand Incompatibility on the Outcome of Unrelated Donor Transplantation: A Report from the Center for International Blood and Marrow Transplant Research, the European Blood and Marrow Transplant Registry, and the Dutch Registry. Biology of Blood and Marrow Transplantation. 12(8). 876–884. 167 indexed citations

17.

Schreuder, Geziena M. Th., Carolyn Katovich Hurley, Steven G. E. Marsh, et al.. (2005). The HLA Dictionary 2004: a summary of HLA-A, -B, -C, -DRB1/3/4/5 and -DQB1 alleles and their association with serologically defined HLA-A, -B, -C, -DR and -DQ antigens. International Journal of Immunogenetics. 32(1). 19–69. 15 indexed citations

18.

Schreuder, Geziena M. Th., Carolyn Katovich Hurley, Steven G. E. Marsh, et al.. (2005). The HLA Dictionary 2004: a summary of HLA‐A, ‐B, ‐C, ‐DRB1/3/4/5 and ‐DQB1 alleles and their association with serologically defined HLA‐A, ‐B, ‐C, ‐DR and ‐DQ antigens. Tissue Antigens. 65(1). 1–55. 37 indexed citations

19.

Hurley, Carolyn Katovich, Marcelo Fernández-Viña, & Michelle Setterholm. (2003). Maximizing optimal hematopoietic stem cell donor selection from registries of unrelated adult volunteers. Tissue Antigens. 61(6). 415–424. 41 indexed citations

20.

Maiers, Martin, Geziena M. Th. Schreuder, M. Lau, et al.. (2003). Use of a neural network to assign serologic specificities to HLA‐A, ‐B and ‐DRB1 allelic products. Tissue Antigens. 62(1). 21–47. 14 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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