Merry Duffy

481 total citations
9 papers, 24 citations indexed

About

Merry Duffy is a scholar working on Hematology, Genetics and Surgery. According to data from OpenAlex, Merry Duffy has authored 9 papers receiving a total of 24 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 4 papers in Genetics and 3 papers in Surgery. Recurrent topics in Merry Duffy's work include Hematopoietic Stem Cell Transplantation (7 papers), Mesenchymal stem cell research (4 papers) and Transplantation: Methods and Outcomes (2 papers). Merry Duffy is often cited by papers focused on Hematopoietic Stem Cell Transplantation (7 papers), Mesenchymal stem cell research (4 papers) and Transplantation: Methods and Outcomes (2 papers). Merry Duffy collaborates with scholars based in United States, Netherlands and Spain. Merry Duffy's co-authors include Rebecca Drexler, Elizabeth J. Shpall, Chatchada Karanes, Donna Regan, Clayton A. Smith, J. Philip Miller, Pintip Chitphakdithai, Sergio Querol, Brian M. Freed and Dennis L. Confer and has published in prestigious journals such as Transfusion, Biology of Blood and Marrow Transplantation and Stem Cells Translational Medicine.

In The Last Decade

Merry Duffy

7 papers receiving 23 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Merry Duffy United States	3	19	11	7	5	5	9	24
Kristi Romero United States	3	21 1.1×	8 0.7×	5 0.7×	2 0.4×	5 1.0×	7	27
Nahal Lalefar United States	4	22 1.2×	5 0.5×	7 1.0×	3 0.6×	5 1.0×	7	27
Alexandra Lubina Solomon United Kingdom	2	12 0.6×	4 0.4×	7 1.0×	5 1.0×	6 1.2×	5	24
Irene Donnini Italy	3	14 0.7×	11 1.0×	3 0.4×	3 0.6×	2 0.4×	8	26
Annalia Molinari Italy	4	9 0.5×	9 0.8×	13 1.9×	5 1.0×	5 1.0×	7	31
Carolina Villegas Spain	4	12 0.6×	8 0.7×	4 0.6×	4 0.8×	1 0.2×	8	29
Lia Phillips United States	3	12 0.6×	9 0.8×	9 1.3×	1 0.2×	3 0.6×	4	24
Bazetta Blacklock-Schuver United States	4	16 0.8×	2 0.2×	10 1.4×	11 2.2×	4 0.8×	6	29
A. Chaïb France	3	16 0.8×	4 0.4×	8 1.1×	8 1.6×	1 0.2×	10	34
Philip Kuruvilla Canada	4	10 0.5×	14 1.3×	13 1.9×		3 0.6×	12	29

Countries citing papers authored by Merry Duffy

Since Specialization

Citations

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

Fields of papers citing papers by Merry Duffy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Merry Duffy

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

All Works

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9 of 9 papers shown

Duffy, Merry, et al.. (2020). Worldwide survey on key indicators for public cord blood banking technologies: By the World Marrow Donor Association Cord Blood Working Group. Stem Cells Translational Medicine. 10(2). 222–229. 4 indexed citations

Ballen, Karen K., Brent R. Logan, Pintip Chitphakdithai, et al.. (2019). Unlicensed Umbilical Cord Blood Units Provide a Safe and Effective Graft Source for a Diverse Population: A Study of 2456 Umbilical Cord Blood Recipients. Biology of Blood and Marrow Transplantation. 26(4). 745–757. 9 indexed citations

Ballen, Karen K., Brent R. Logan, Michelle Kuxhausen, et al.. (2019). Use of Unlicensed Unrelated Umbilical Cord Blood Expands Access to Underserved Patients: Report of 2466 Transplants in a Racially/Ethnically Diverse Population. Biology of Blood and Marrow Transplantation. 25(3). S221–S222. 2 indexed citations

Barker, Juliet N., Jane Kempenich, Merry Duffy, et al.. (2018). Analysis of the CD34+ Cell Content of 126, 341 Cord Blood (CB) Units in the NMDP be the Match Inventory: Implications for CB Transplantation and Public Banking. Biology of Blood and Marrow Transplantation. 24(3). S51–S52.

Ballen, Karen K., Brent R. Logan, Pintip Chitphakdithai, et al.. (2018). Excellent Outcomes After Umbilical Cord Blood Transplantation Using a Centralized Cord Blood Registry. Stem Cells Translational Medicine. 7(S1). S1–S1. 1 indexed citations

Ballen, Karen K., Brent R. Logan, Pintip Chitphakdithai, et al.. (2017). Excellent Outcomes in 1589 Patients Receiving Umbilical Cord Blood Transplantation Using Unlicensed Units From a Centralized Cord Blood Registry. Biology of Blood and Marrow Transplantation. 23(3). S170–S170. 2 indexed citations

Stritesky, Gretta L., et al.. (2017). Evaluation of the impact of banking umbilical cord blood units with high cell dose for ethnically diverse patients. Transfusion. 58(2). 345–351. 1 indexed citations

Brady, Colleen A., Sue Armitage, Brian M. Freed, et al.. (2016). How transplant centers deal with the dextran shortage: recommendations for comparing alternatives. Transfusion. 56(11). 2657–2661. 4 indexed citations

Bogoch, A., et al.. (1960). The effects of prednisone in two patients with primary biliary cirrhosis.. PubMed. 82. 248–57. 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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